Genes and Nutrition
Journal Impact IF - Analysis · Trend · Prediction · Ranking


New

Journal Impact IF

2019-2020

4.258

47.7%

Journal Impact IF Trend

Related Journals

Popular Journals

Genes and Nutrition

The 2019-2020 Journal Impact IF of Genes and Nutrition is 4.258, which is just updated in 2020.

Genes and Nutrition Impact Factor
Highest IF
4.258
Highest Journal Impact IF

The highest Journal Impact IF of Genes and Nutrition is 4.258.

Lowest IF
2.398
Lowest Journal Impact IF

The lowest Journal Impact IF of Genes and Nutrition is 2.398.

Total Growth Rate
69.8%
IF Total Growth Rate

The total growth rate of Genes and Nutrition IF is 69.8%.

Annual Growth Rate
7.8%
IF Annual Growth Rate

The annual growth rate of Genes and Nutrition IF is 7.8%.

Journal Impact IF Ranking

Subcategory Quartile Rank Percentile
Genetics Q2 127/324

Genetics 60%

Endocrinology, Diabetes and Metabolism Q2 76/217

Endocrinology, Diabetes and Metabolism 65%

Journal Impact IF Ranking

· In the Genetics research field, the Quartile of Genes and Nutrition is Q2. Genes and Nutrition has been ranked #127 over 324 related journals in the Genetics research category. The ranking percentile of Genes and Nutrition is around 60% in the field of Genetics.
· In the Endocrinology, Diabetes and Metabolism research field, the Quartile of Genes and Nutrition is Q2. Genes and Nutrition has been ranked #76 over 217 related journals in the Endocrinology, Diabetes and Metabolism research category. The ranking percentile of Genes and Nutrition is around 65% in the field of Endocrinology, Diabetes and Metabolism.

Genes and Nutrition Impact Factor 2020-2021 Prediction

Genes and Nutrition Impact Factor Predition System

Genes and Nutrition Impact Factor Prediction System is now online. You can start share your valuable insights with the community.

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Total Publications
650
Total Citations
18631

Annual Publication Volume

Annual Citation Record

International Collaboration Trend

Cited Documents Trend

Journal Impact IF History

Year Journal Impact IF
Year Journal Impact IF
2019-2020 4.258
2018-2019 2.883
2017-2018 3.533
2016-2017 3.093
2015-2016 2.398
2014-2015 2.794
2013-2014 3.419
2012-2013 3.329
2011-2012 2.507
Journal Impact IF History

· The 2019-2020 Journal Impact IF of Genes and Nutrition is 4.258
· The 2018-2019 Journal Impact IF of Genes and Nutrition is 2.883
· The 2017-2018 Journal Impact IF of Genes and Nutrition is 3.533
· The 2016-2017 Journal Impact IF of Genes and Nutrition is 3.093
· The 2015-2016 Journal Impact IF of Genes and Nutrition is 2.398
· The 2014-2015 Journal Impact IF of Genes and Nutrition is 2.794
· The 2013-2014 Journal Impact IF of Genes and Nutrition is 3.419
· The 2012-2013 Journal Impact IF of Genes and Nutrition is 3.329
· The 2011-2012 Journal Impact IF of Genes and Nutrition is 2.507

Publications Cites Dataset

Year Publications Citations
Year Publications Citations
2005 0 2
2006 22 10
2007 58 23
2008 40 70
2009 36 248
2010 37 581
2011 38 739
2012 53 1238
2013 61 1452
2014 80 1700
2015 67 1998
2016 30 2008
2017 35 2220
2018 33 1711
2019 35 1967
2020 20 2503
2021 1 161
Publications Cites Dataset

· The Genes and Nutrition has published 0 reports and received 2 citations in 2005.
· The Genes and Nutrition has published 22 reports and received 10 citations in 2006.
· The Genes and Nutrition has published 58 reports and received 23 citations in 2007.
· The Genes and Nutrition has published 40 reports and received 70 citations in 2008.
· The Genes and Nutrition has published 36 reports and received 248 citations in 2009.
· The Genes and Nutrition has published 37 reports and received 581 citations in 2010.
· The Genes and Nutrition has published 38 reports and received 739 citations in 2011.
· The Genes and Nutrition has published 53 reports and received 1238 citations in 2012.
· The Genes and Nutrition has published 61 reports and received 1452 citations in 2013.
· The Genes and Nutrition has published 80 reports and received 1700 citations in 2014.
· The Genes and Nutrition has published 67 reports and received 1998 citations in 2015.
· The Genes and Nutrition has published 30 reports and received 2008 citations in 2016.
· The Genes and Nutrition has published 35 reports and received 2220 citations in 2017.
· The Genes and Nutrition has published 33 reports and received 1711 citations in 2018.
· The Genes and Nutrition has published 35 reports and received 1967 citations in 2019.
· The Genes and Nutrition has published 20 reports and received 2503 citations in 2020.
· The Genes and Nutrition has published 1 reports and received 161 citations in 2021.
· The total publications of Genes and Nutrition is 650.
· The total citations of Genes and Nutrition is 18631.

What is Impact Factor?

The impact factor (IF) or journal impact factor (JIF) of an academic journal is a scientometric index calculated by Clarivate that reflects the yearly average number of citations of articles published in the last two years in a given journal. It is frequently used as a proxy for the relative importance of a journal within its field; journals with higher impact factor values are often deemed to be more important, or carry more intrinsic prestige in their respective fields, than those with lower values.

Genes and Nutrition | Academic Accelerator - About the Impact Factor

Impact factor is commonly used to evaluate the relative importance of a journal within its field and to measure the frequency with which the “average article” in a journal has been cited in a particular time period. Journal which publishes more review articles will get highest IFs. Journals with higher IFs believed to be more important than those with lower ones. According to Eugene Garfield “impact simply reflects the ability of the journals and editors to attract the best paper available.” Journal which publishes more review articles will get maximum IFs. The Impact Factor of an academic journal is a scientometric Metric that reflects the yearly average number of citations that recent articles published in a given journal received. It is frequently used as a Metric for the relative importance of a journal within its field; journals with higher Impact Factor are often deemed to be more important than those with lower ones. The Genes and Nutrition Impact Factor IF measures the average number of citations received in a particular year (2020) by papers published in the Genes and Nutrition during the two preceding years (2018-2019). Note that 2020 Impact Factor are reported in 2021; they cannot be calculated until all of the 2020 publications have been processed by the indexing agency. New journals, which are indexed from their first published issue, will receive an impact factor after two years of indexing; in this case, the citations to the year prior to Volume 1, and the number of articles published in the year prior to Volume 1, are known zero values. Journals that are indexed starting with a volume other than the first volume will not get an impact factor until they have been indexed for three years. Occasionally, Journal Citation Reports assigns an impact factor to new journals with less than two years of indexing, based on partial citation data. The calculation always uses two complete and known years of item counts, but for new titles one of the known counts is zero. Annuals and other irregular publications sometimes publish no items in a particular year, affecting the count. The impact factor relates to a specific time period; it is possible to calculate it for any desired period. In addition to the 2-year Impact Factor, the 3-year Impact Factor, 4-year Impact Factor, 5-year Impact Factor, Real-Time Impact Factor can provide further insights and factors into the impact of Genes and Nutrition.

History

The impact factor was devised by Eugene Garfield, the founder of the Institute for Scientific Information (ISI). Impact factors are calculated yearly starting from 1975 for journals listed in the Journal Citation Reports (JCR). ISI was acquired by Thomson Scientific & Healthcare in 1992, and became known as Thomson ISI. In 2018, Thomson ISI was sold to Onex Corporation and Baring Private Equity Asia. They founded a new corporation, Clarivate, which is now the publisher of the JCR.

Use

The impact factor is used to compare different journals within a certain field. The Web of Science indexes more than 11,500 science and social science journals. Journal impact factors are often used to evaluate the merit of individual articles and individual researchers. This use of impact factors was summarised by Hoeffel:

Impact Factor is not a perfect tool to measure the quality of articles but there is nothing better and it has the advantage of already being in existence and is, therefore, a good technique for scientific evaluation. Experience has shown that in each specialty the best journals are those in which it is most difficult to have an article accepted, and these are the journals that have a high impact factor. Most of these journals existed long before the impact factor was devised. The use of impact factor as a measure of quality is widespread because it fits well with the opinion we have in each field of the best journals in our specialty....In conclusion, prestigious journals publish papers of high level. Therefore, their impact factor is high, and not the contrary.

Eugene Garfield

In brief, Impact factors may be used by:
  • Authors to decide where to submit an article for publication.
  • Libraries to make collection development decisions
  • Academic departments to assess academic productivity
  • Academic departments to make decisions on promotion and tenure.
As impact factors are a journal-level metric, rather than an article- or individual-level metric, this use is controversial. Garfield agrees with Hoeffel,but warns about the "misuse in evaluating individuals" because there is "a wide variation [of citations] from article to article within a single journal". Other things to consider about Impact Factors:
  • Many journals do not have an impact factor.
  • The impact factor cannot assess the quality of individual articles. Even if citations were evenly distributed among articles, the impact factor would only measure the interests of other researchers in an article, not its importance and usefulness.
  • Only research articles, technical notes and reviews are “citable” items. Editorials, letters, news items and meeting abstracts are “non-citable items”.
  • Only a small percentage of articles are highly cited and they are found in a small subset of journals. This small proportion accounts for a large percentage of citations.
  • Controversial papers, such as those based on fraudulent data, may be highly cited, distorting the impact factor of a journal.
  • Citation bias may exist. For example, English language resources may be favoured. Authors may cite their own work.
Moreover, informed and careful use of these impact data is essential, and should be based on a thorough understanding of the methodology used to generate impact factors. There are controversial aspects of using impact factors:
  • It is not clear whether the number of times a paper is cited measures its actual quality.
  • Some databases that calculate impact factors fail to incorporate publications including textbooks, handbooks and reference books.
  • Certain disciplines have low numbers of journals and usage. Therefore, one should only compare journals or researchers within the same discipline.
  • Review articles normally are cited more often and therefore can skew results.
  • Self-citing may also skew results.
  • Some resources used to calculate impact factors have inadequate international coverage.
  • Editorial policies can artificially inflate an impact factor.
Impact factors have often been used in advancement and tenure decision-making. Many recognize that this is a coarse tool for such important decisions, and that a multitude of factors should be taken into account in these deliberations. When considering the use of the impact factor (IF), keep these aspects in mind:
  • IF analysis is limited to citations from the journals indexed by the Web of Science/Web of Knowledge. Currently, the Web of Science indexes only 8621 journals across the full breadth of the sciences, and just 3121 in the social sciences.
  • A high IF/citation rate says nothing about the quality -- or even, validity -- of the references being cited. Notorious or even retracted articles often attract a lot of attention, hence a high number of citations. The notority related to the first publication on "cold fusion" is one such example.
  • Journals that publish more "review articles" are often found near the top of the rankings. While not known for publishing new, creative findings, these individual articles tend to be heavily cited.
  • The IF measures the average number of citations to articles in the journal -- given this, a small number of highly-cited articles will skew the figure.
  • It takes several years for new journals to be added to the list of titles indexed by the Web of Science/Web of Knowledge, so these newer titles will be under-represented.
  • It's alleged that journal editors have learned to "game" the system, encouraging authors to cite their works previously published in the same journal.
Comparing Journals Across Disciplines? Not a good idea! Using Impact Factors within a given discipline should only be done with great care, as described above. Using impact factor data to compare journals across disciplines is even more problematic. Here are some of the reasons:
  • Disciplines where older literature is still referenced, such as Chemistry and Mathematics, offer challenges to the methodolgy since older citations (older than two years) are not used to calculate the impact factor for a given journal. (Five-year impact factor analysis, which can be calculated using the Journal Citation Index database, helps smooth out this problem only to some degree.)
  • Different disciplines have different practices regarding tendency to cite larger numbers of references. Higher overall citation rates will bump upward impact factor measurements.
  • Where it's common for large numbers of authors to collaborate on a single paper, such as in Physics, the tendency of authors to cite themselves (and in this case, more authors) will result in increased citation rates.

Pros and Cons of the Impact Factor

Pros:

  • A vetted, established metric for measuring journal impact within a discipline.
  • Designed to eliminate bias based on journal size and frequency.
Cons:
  • Individual articles makes an uneven contribution to overall Impact Factor.
  • Impact Factor does not account for certain things, things like context (postive or negative citaion) and intentionality (self-citation).
  • The metric is proprietary to and bound by the contents of the Thomson Reuters database.
  • Citations, on which the Impact Factor is based, count for less than 1% of an article's overall use.

Criticism

Numerous critiques have been made regarding the use of impact factors. A 2007 study noted that the most fundamental flaw is that impact factors present the mean of data that are not normally distributed, and suggested that it would be more appropriate to present the median of these data. There is also a more general debate on the validity of the impact factor as a measure of journal importance and the effect of policies that editors may adopt to boost their impact factor (perhaps to the detriment of readers and writers). Other criticism focuses on the effect of the impact factor on behavior of scholars, editors and other stakeholders. Others have made more general criticisms, arguing that emphasis on impact factor results from negative influence of neoliberal policies on academia claiming that what is needed is not just replacement of the impact factor with more sophisticated metrics for science publications but also discussion on the social value of research assessment and the growing precariousness of scientific careers in higher education.
Experts stress that there are limitations in using impact factors to evaluate a scholar's work. There are many reasons cited for not relying on impact factor alone to evaluate the output of a particular individual. Among these are the following:

  • A single factor is not sufficient for evaluating an author's work.
  • Journal values are meaningless unless compared within the same discipline. Impact factors vary among disciplines.
  • The impact factor was originally devised to show the impact of a specific journal, not a specific scholar. The quality and impact of the author's work may extend beyond the impact of a particular journal.
According to Jim Testa, a researcher for ThomsonReuters Scientific, the most widespread misuse of the Impact Factor is to evaluate the work of an individual author (instead of a journal). "To say that because a researcher is publishing in a certain journal, he or she is more influential or deserves more credit is not necessarily true. There are many other variables to consider." (interview 6/26/2008 in Thomson Reuters blog entry)

Genes and Nutrition
Journal Profile

About

Genes & Nutrition is an international, interdisciplinary, peer-review journal for research on the relationship between genetics and nutrition, with the ultimate goal of improving human health. The journal publishes original research articles and two types of review articles. First, reviews of preclinical research data coming largely from animal, cell culture and other experimental models. Such data will provide the basis for future product development and/or human research initiatives. Secondly, critical evaluations of human experimental data to help deliver products with medically proven use.This journal also serves as a forum for nutritionists, healthcare providers and all those interested in preventive medicine. The following are examples of the specific areas that may be covered by the journal.• The study of individual genetic differences in response to dietary components.• The development of safe and effective diet therapies for individuals or subgroups of the population on the basis of nutrigenomic data.• Diet development and health outcomes from dietary patterns by defining specific sub-populations of patients.• The development of models of disease mechanism based on understanding the genome. • The study of physical and genetic linkage maps combined with techniques to catalog massive databases of genetic information, to uncover genes that may interact with diet to influence disease.• Interactions of diet and nutrition with genetic susceptibility to cancer• Gene–diet interactions in coronary heart disease. None

Highly Cited Keywords

ISSN
1555-8932
ISSN

The ISSN of Genes and Nutrition is 1555-8932 . An ISSN is an 8-digit code used to identify newspapers, journals, magazines and periodicals of all kinds and on all media–print and electronic.

ISSN (Online)
1865-3499
ISSN (Online)

The ISSN (Online) of Genes and Nutrition is 1865-3499 . An ISSN is an 8-digit code used to identify newspapers, journals, magazines and periodicals of all kinds and on all media–print and electronic.

Publisher
BioMed Central Ltd.
Publisher

Genes and Nutrition is published by BioMed Central Ltd. .

Publication Frequency
-
Publication Frequency

Genes and Nutrition publishes reports - .

Coverage
2007 - Present
Coverage

The Publication History of Genes and Nutrition covers 2007 - Present .

Open Access
YES
Open Access

Genes and Nutrition is an Open Access (OA) Journal. Open Access stands for unrestricted access and unrestricted reuse. With Open Access, researchers can read and build on the findings of others without restriction. Much scientific and medical research is paid for with public funds. Open Access allows taxpayers to see the results of their investment.

Publication Fee
Publication Fee

Genes and Nutrition is an Open Access (OA) Journal. Open Access stands for unrestricted access and unrestricted reuse. With Open Access, researchers can read and build on the findings of others without restriction. Open Access allows taxpayers to see the results of their investment. Please share or review the publication fee with the community.

Language
English
Language

The language of Genes and Nutrition is English .

Country/Region
United Kingdom
Country/Region

The publisher of Genes and Nutrition is BioMed Central Ltd. , which locates in United Kingdom .

Selected Articles

Full Title Authors
Full Title Authors
Metabolic transition of milk triacylglycerol synthesis in response to varying levels of palmitate in porcine mammary epithelial cells Yantao Lv · Shihai Zhang · Wutai Guan · Fang Chen · Yinzhi Zhang · Jun Chen · Yang Liu · Yang Liu
Correction to: Biomarkers of legume intake in human intervention and observational studies: a systematic review Pedapati S. C. Sri Harsha · Roshaida Abdul Wahab · Mar Garcia-Aloy · Francisco Madrid-Gambin · Sheila Estruel-Amades · Bernhard Watzl · Cristina Andres-Lacueva · Lorraine Brennan · Lorraine Brennan
Exploring the cellular network of metabolic flexibility in the adipose tissue Samar Hayat Khan Tareen · Martina Kutmon · Michiel E. Adriaens · Edwin C. M. Mariman · Theo M. de Kok · Ilja C. W. Arts · Chris T. Evelo · Chris T. Evelo
Dietary and genetic risk scores and incidence of type 2 diabetes Ulrika Ericson · George Hindy · Isabel Drake · Christina-Alexandra Schulz · Louise Brunkwall · Sophie Hellstrand · Peter Almgren · Marju Orho-Melander · Marju Orho-Melander
Validation of biomarkers of food intake—critical assessment of candidate biomarkers Lars O. Dragsted · Qian Gao · Augustin Scalbert · Guy Vergères · Marjukka Kolehmainen · Claudine Manach · Lorraine Brennan · Lydia A. Afman · David S. Wishart · C. Andres Lacueva · C. Andres Lacueva · Mar Garcia-Aloy · Mar Garcia-Aloy · H. Verhagen · H. Verhagen · Edith J. M. Feskens · Giulia Praticò · Giulia Praticò
Analysis of circulating angiopoietin-like protein 3 and genetic variants in lipid metabolism and liver health: the DiOGenes study Anne Lundby Hess · Jérôme Carayol · Trine Blædel · Jörg Hager · Alessandro Di Cara · Arne Astrup · Wim H. M. Saris · Lesli H. Larsen · Armand Valsesia · Armand Valsesia
ONS: an ontology for a standardized description of interventions and observational studies in nutrition Francesco Vitali · Francesco Vitali · Rosario Lombardo · Damariz Rivero · Fulvio Mattivi · Fulvio Mattivi · Pietro Franceschi · Alessandra Bordoni · Alessia Trimigno · Francesco Capozzi · Giovanni Felici · Francesco Taglino · Franco Miglietta · Nathalie De Cock · Carl Lachat · Bernard De Baets · Guy De Tré · Mariona Pinart · Katharina Nimptsch · Tobias Pischon · Jildau Bouwman · Duccio Cavalieri · Duccio Cavalieri · Duccio Cavalieri
Omega-3 fatty acid DHA modulates p53, survivin, and microRNA-16-1 expression in KRAS-mutant colorectal cancer stem-like cells Mohammad Reza Sam · Mohammad Tavakoli-Mehr · Reza Safaralizadeh · Reza Safaralizadeh
Investigation of the influence of high glucose on molecular and genetic responses: an in vitro study using a human intestine model Tugce Boztepe · Sukru Gulec · Sukru Gulec
Correction to: Plasma fatty acid levels and gene expression related to lipid metabolism in peripheral blood mononuclear cells: a cross-sectional study in healthy subjects Sunniva V. Larsen · Kirsten B. Holven · Inger Ottestad · Kine N. Dagsland · Mari C. W. Myhrstad · Stine M. Ulven · Stine M. Ulven
Effect of β-hydroxy-β-methylbutyrate on miRNA expression in differentiating equine satellite cells exposed to hydrogen peroxide Karolina A. Chodkowska · Anna Ciecierska · Kinga Majchrzak · Piotr Ostaszewski · Tomasz Sadkowski · Tomasz Sadkowski
FTO genotype, dietary protein intake, and body weight in a multiethnic population of young adults: a cross-sectional study David Merritt · Joseph Jamnik · Ahmed El-Sohemy · Ahmed El-Sohemy
High-fat diet modifies expression of hepatic cellular senescence gene p16(INK4a) through chromatin modifications in adult male rats Xiyuan Zhang · Guanying Bianca Xu · Dan Zhou · Yuan Xiang Pan · Yuan Xiang Pan
An update on vitamin B12-related gene polymorphisms and B12 status S. Surendran · Antonysunil Adaikalakoteswari · Ponnusamy Saravanan · I. A. Shatwaan · Julie A. Lovegrove · Karani Santhanakrishnan Vimaleswaran · Karani Santhanakrishnan Vimaleswaran
Studying microbial functionality within the gut ecosystem by systems biology Bastian Hornung · Vitor A. P. Martins dos Santos · Hauke Smidt · Peter J. Schaap · Peter J. Schaap
Biomarkers of intake for coffee, tea, and sweetened beverages Joseph A. Rothwell · Francisco Madrid-Gambin · Mar Garcia-Aloy · Mar Garcia-Aloy · Cristina Andres-Lacueva · Cristina Andres-Lacueva · Caomhan Logue · Alison Gallagher · C.I. Mack · Sabine E. Kulling · Qian Gao · Giulia Praticò · Lars O. Dragsted · Augustin Scalbert · Augustin Scalbert
Genetic polymorphisms of antioxidant enzymes CAT and SOD affect the outcome of clinical, biochemical, and anthropometric variables in people with obesity under a dietary intervention César Hernández-Guerrero · Alicia Parra-Carriedo · Diana Ruiz-de-Santiago · Oscar Galicia-Castillo · Mario Buenrostro-Jáuregui · Carmen Díaz-Gutiérrez · Carmen Díaz-Gutiérrez
Guidelines for Biomarker of Food Intake Reviews (BFIRev) : How to conduct an extensive literature search for biomarker of food intake discovery Giulia Praticò · Qian Gao · Augustin Scalbert · Guy Vergères · Marjukka Kolehmainen · Claudine Manach · Lorraine Brennan · Sri Harsha Pedapati · Lydia A. Afman · David S. Wishart · Rosa Vázquez-Fresno · Cristina Andres Lacueva · Cristina Andres Lacueva · Mar Garcia-Aloy · Mar Garcia-Aloy · H. Verhagen · H. Verhagen · Edith J. M. Feskens · Lars O. Dragsted · Lars O. Dragsted
Optimal vitamin D spurs serotonin: 1,25-dihydroxyvitamin D represses serotonin reuptake transport ( SERT ) and degradation ( MAO-A ) gene expression in cultured rat serotonergic neuronal cell lines Marya S. Sabir · Mark R. Haussler · Sanchita Mallick · Ichiro Kaneko · Ichiro Kaneko · Daniel A. Lucas · Carol A. Haussler · G. Kerr Whitfield · Peter W. Jurutka · Peter W. Jurutka · Peter W. Jurutka
High nutrient intake during the early postnatal period accelerates skeletal muscle fiber growth and maturity in intrauterine growth-restricted pigs Liang Hu · Fei Han · Lin Chen · Xie Peng · Daiwen Chen · De Wu · Lianqiang Che · Keying Zhang · Keying Zhang
Biomarkers of food intake for cocoa and liquorice (products): a systematic review Charlotte C. J. R. Michielsen · Enrique Almanza-Aguilera · Enrique Almanza-Aguilera · Elske M. Brouwer-Brolsma · Mireia Urpi-Sarda · Mireia Urpi-Sarda · Lydia A. Afman · Lydia A. Afman
Betaine reduces β-amyloid-induced paralysis through activation of cystathionine-β-synthase in an Alzheimer model of Caenorhabditis elegans Anne Leiteritz · Benjamin Dilberger · Uwe Wenzel · Elena Fitzenberger · Elena Fitzenberger
Genetic polymorphism in selenoprotein P modifies the response to selenium-rich foods on blood levels of selenium and selenoprotein P in a randomized dietary intervention study in Danes Tine Iskov Kopp · Malene Outzen · Anja Olsen · Ulla Vogel · Gitte Ravn-Haren · Gitte Ravn-Haren
Genetic risk score for adult body mass index associations with childhood and adolescent weight gain in an African population Richard J. Munthali · Venesa Sahibdeen · Venesa Sahibdeen · Juliana Kagura · Liesl M. Hendry · Shane A. Norris · Ken K. Ong · Ken K. Ong · Felix R. Day · Zané Lombard · Zané Lombard · Zané Lombard
Biomarkers of legume intake in human intervention and observational studies: a systematic review Pedapati S. C. Sri Harsha · Roshaida Abdul Wahab · Mar Garcia-Aloy · Mar Garcia-Aloy · Francisco Madrid-Gambin · Francisco Madrid-Gambin · Sheila Estruel-Amades · Bernhard Watzl · Cristina Andres-Lacueva · Cristina Andres-Lacueva · Lorraine Brennan · Lorraine Brennan
Biomarker of food intake for assessing the consumption of dairy and egg products Linda H. Münger · Mar Garcia-Aloy · Mar Garcia-Aloy · Rosa Vázquez-Fresno · Doreen Gille · Albert Remus R. Rosana · Anna Passerini · María-Trinidad Soria-Florido · Grégory Pimentel · Tanvir Sajed · David S. Wishart · Cristina Andres Lacueva · Cristina Andres Lacueva · Guy Vergères · Giulia Praticò · Giulia Praticò
A scheme for a flexible classification of dietary and health biomarkers Qian Gao · Giulia Praticò · Augustin Scalbert · Guy Vergères · Marjukka Kolehmainen · Claudine Manach · Lorraine Brennan · Lydia A. Afman · David S. Wishart · Cristina Andres-Lacueva · Cristina Andres-Lacueva · Mar Garcia-Aloy · Mar Garcia-Aloy · H. Verhagen · H. Verhagen · Edith J. M. Feskens · Lars O. Dragsted · Lars O. Dragsted
Ranges of phenotypic flexibility in healthy subjects Tj van den Broek · Gertruud C. M. Bakker · Carina M. Rubingh · Sabina Bijlsma · Johanna H. M. Stroeve · B. van Ommen · M. J. van Erk · Suzan Wopereis · Suzan Wopereis
Multi-parameter comparison of a standardized mixed meal tolerance test in healthy and type 2 diabetic subjects: the PhenFlex challenge Suzan Wopereis · Johanna H. M. Stroeve · A. Stafleu · Gertruud C. M. Bakker · Jacobus Burggraaf · Marjan van Erk · Linette Pellis · Ruud Boessen · Alwine A. F. Kardinaal · Ben van Ommen · Ben van Ommen
Effect of different concentrations of omega-3 fatty acids on stimulated THP-1 macrophages B. Allam-Ndoul · F. Guénard · O. Barbier · M-C Vohl · M-C Vohl
The impact of micronutrient status on health: correlation network analysis to understand the role of micronutrients in metabolic-inflammatory processes regulating homeostasis and phenotypic flexibility Tim van den Broek · Bas Kremer · Marisa Marcondes Rezende · Femke P. M. Hoevenaars · Peter Weber · Ulrich Hoeller · Ben van Ommen · Suzan Wopereis · Suzan Wopereis
Formidable challenges to the notion of biologically important roles for dietary small RNAs in ingesting mammals Stephen Y. Chan · Jonathan W. Snow · Jonathan W. Snow
A porcine gluteus medius muscle genome-wide transcriptome analysis: dietary effects of omega-6 and omega-3 fatty acids on biological mechanisms Magdalena Ogłuszka · Agnieszka Szostak · Marinus F.W. te Pas · Ewa Poławska · Paweł Urbański · Tadeusz Blicharski · Chandra S. Pareek · Edyta Juszczuk-Kubiak · Jenelle R. Dunkelberger · Jarosław Horbańczuk · Mariusz Pierzchała · Mariusz Pierzchała
Transcriptomic responses of the liver and adipose tissues to altered carbohydrate-fat ratio in diet: an isoenergetic study in young rats Mitsuru Tanaka · Akihito Yasuoka · Manae Shimizu · Yoshikazu Saito · Kei Kumakura · Tomiko Asakura · Toshitada Nagai · Toshitada Nagai
Milk exosomes: beyond dietary microRNAs Janos Zempleni · Janos Zempleni
Folate deficiency as predisposing factor for childhood leukaemia: A review of the literature Catia Daniela Cantarella · Denise Ragusa · Marco Giammanco · Sabrina Tosi · Sabrina Tosi
Bioavailability of transgenic microRNAs in genetically modified plants Jian Yang · Cecilia Primo · Ismail Elbaz-Younes · Kendal D. Hirschi · Kendal D. Hirschi · Kendal D. Hirschi
Navigating dietary small RNAs Kendal D. Hirschi · Kendal D. Hirschi
Diet-derived microRNAs: unicorn or silver bullet? Kenneth W. Witwer · Kenneth W. Witwer · Chen Yu Zhang · Chen Yu Zhang
Obesity and microbiota: an example of an intricate relationship Sabrina Duranti · Chiara Ferrario · Douwe van Sinderen · Marco Ventura · Francesca Turroni · Francesca Turroni
Lactase persistence in Tunisia as a result of admixture with other Mediterranean populations Yosra Ben Halima · Yosra Ben Halima · Rym Kefi · Rym Kefi · Marco Sazzini · Cristina Giuliani · Sara De Fanti · Chokri Nouali · Chokri Nouali · Majdi Nagara · Giacomo Mengozzi · Sahar Elouej · Abdelmajid Abid · Abdelmajid Abid · Henda Jamoussi · Henda Jamoussi · Lotfi Chouchane · Giovanni Romeo · Sonia Abdelhak · Sonia Abdelhak · Donata Luiselli · Donata Luiselli
Effect of high carbohydrate diet on elongase and desaturase activity and accompanying gene expression in rats liver Jagoda Drąg · Anna Goździalska · Małgorzata Knapik-Czajka · Anna Gawędzka · Katarzyna Gawlik · Jerzy Jaśkiewicz · Jerzy Jaśkiewicz
Propelling the paradigm shift from reductionism to systems nutrition Jim Kaput · Giuditta Perozzi · Marijana Radonjic · Fabio Virgili · Fabio Virgili
Gene expression is differentially regulated in skeletal muscle and circulating immune cells in response to an acute bout of high-load strength exercise Håvard Hamarsland · Truls Raastad · Inger Ottestad · Jacob J. Christensen · Jacob J. Christensen · Kristin Eckardt · Christian A. Drevon · Anne Sofie Biong · Stine M. Ulven · Kirsten B. Holven · Kirsten B. Holven · Kirsten B. Holven
Brain xanthophyll content and exploratory gene expression analysis: subspecies differences in rhesus macaque Emily S. Mohn · John W. Erdman · Martha Neuringer · Matthew J. Kuchan · Elizabeth J. Johnson · Elizabeth J. Johnson
Does dietary fat affect inflammatory markers in overweight and obese individuals?—a review of randomized controlled trials from 2010 to 2016 Vibeke H. Telle-Hansen · Jacob J. Christensen · Jacob J. Christensen · Stine M. Ulven · Kirsten B. Holven · Kirsten B. Holven · Kirsten B. Holven
Role of microRNAs in obesity and obesity-related diseases Giuseppe Iacomino · Alfonso Siani · Alfonso Siani
Dietary and health biomarkers—time for an update Lars O. Dragsted · Qian Gao · Giulia Praticò · Claudine Manach · David S. Wishart · Augustin Scalbert · Edith J. M. Feskens · Edith J. M. Feskens
Impact of supplementation with a food-derived microbial community on obesity-associated inflammation and gut microbiota composition Marianna Roselli · Chiara Devirgiliis · Paola Zinno · Barbara Guantario · Alberto Finamore · Rita Rami · Giuditta Perozzi · Giuditta Perozzi
Amino acid supplements and metabolic health: a potential interplay between intestinal microbiota and systems control Francesco Bifari · Chiara Ruocco · Ilaria Decimo · Guido Fumagalli · Alessandra Valerio · Enzo Nisoli · Enzo Nisoli
Ancestors dietary patterns and environments could drive positive selection in genes involved in micronutrient metabolism—the case of cofactor transporters Silvia Parolo · Sébastien Lacroix · Jim Kaput · Marie-Pier Scott-Boyer · Marie-Pier Scott-Boyer
Food components and contaminants as (anti)androgenic molecules Daniele Marcoccia · Marco Pellegrini · Marco Fiocchetti · Stefano Lorenzetti · Maria Marino · Maria Marino
A prospective study of dietary and supplemental zinc intake and risk of type 2 diabetes depending on genetic variation in SLC30A8 Isabel Drake · George Hindy · Ulrika Ericson · Marju Orho-Melander · Marju Orho-Melander
Gene-nutrient interactions and susceptibility to human obesity Joseph J. Castillo · Robert A. Orlando · William S. Garver · William S. Garver
Synbiotic effects of β-glucans from cauliflower mushroom and Lactobacillus fermentum on metabolic changes and gut microbiome in estrogen-deficient rats Seong-Yeop Jeong · Suna Kang · Cao Shi Hua · Zhang Ting · Sunmin Park · Sunmin Park
Fructose ingestion impairs expression of genes involved in skeletal muscles adaptive response to aerobic exercise Natália G. Gonçalves · Stephanie Heffer Cavaletti · Carlos Augusto Pasqualucci · Milton A. Martins · Chin Jia Lin · Chin Jia Lin
Short-term dietary methionine supplementation affects one-carbon metabolism and DNA methylation in the mouse gut and leads to altered microbiome profiles, barrier function, gene expression and histomorphology Isabelle R. Miousse · Rupak Pathak · Sarita Garg · Charles M. Skinner · Stepan Melnyk · Oleksandra Pavliv · Howard P. Hendrickson · Reid D. Landes · Annie Lumen · Alan J. Tackett · Nicolaas E. P. Deutz · Martin Hauer-Jensen · Igor Koturbash · Igor Koturbash
Proposed guidelines to evaluate scientific validity and evidence for genotype-based dietary advice Keith Grimaldi · Ben van Ommen · Jose M. Ordovas · Jose M. Ordovas · Laurence D. Parnell · John C. Mathers · Igor Bendik · Lorraine Brennan · Carlos Celis-Morales · Carlos Celis-Morales · Elisa Cirillo · Hannelore Daniel · Brenda de Kok · Ahmed El-Sohemy · Susan J. Fairweather-Tait · Rosalind Fallaize · Michael Fenech · Lynnette R. Ferguson · Eileen R. Gibney · M. J. Gibney · Ingrid M.F. Gjelstad · Jim Kaput · Anette Karlsen · Silvia Kolossa · Julie A. Lovegrove · Anna L. Macready · Cyril F. M. Marsaux · J. Alfredo Martínez · J. Alfredo Martínez · J. Alfredo Martínez · Fermín I. Milagro · Fermín I. Milagro · Santiago Navas-Carretero · Santiago Navas-Carretero · Helen M. Roche · Wim H. M. Saris · Iwona Traczyk · Henk J. van Kranen · Lars Verschuren · Fabio Virgili · Peter Weber · Jildau Bouwman · Jildau Bouwman
Enrichment of in vivo transcription data from dietary intervention studies with in vitro data provides improved insight into gene regulation mechanisms in the intestinal mucosa Marcel Hulst · A.J.M. Jansman · Ilonka Wijers · A.J.W. Hoekman · S.A. Vastenhouw · Marinus van Krimpen · Mari A. Smits · Dirkjan Schokker · Dirkjan Schokker
Examining for an association between candidate gene polymorphisms in the metabolic syndrome components on excess weight and adiposity measures in youth: a cross-sectional study Angélica M. Muñoz · Claudia María Velásquez · Gloria María Agudelo · Gloria María Agudelo · Rosa Magdalena Uscátegui · Alejandro Estrada · Fredy A. Patiño · Beatriz Elena Parra · María Victoria Parra · Gabriel Bedoya · Gabriel Bedoya
Protein-restricted diet during pregnancy after insemination alters behavioral phenotypes of the progeny Tamio Furuse · Kunio Miyake · Takashi Kohda · Hideki Kaneda · Takae Hirasawa · Ikuko Yamada · Tomoko Kushida · Misho Kashimura · Kimio Kobayashi · Fumitoshi Ishino · Takeo Kubota · Shigeharu Wakana · Shigeharu Wakana
Expression of cardiac insulin signalling genes and proteins in rats fed a high-sucrose diet: effect of bilberry anthocyanin extract Shamjeet Singh · Thomas Netticadan · D. Dan Ramdath · D. Dan Ramdath · D. Dan Ramdath
Methyl group donors abrogate adaptive responses to dietary restriction in C. elegans Maja Klapper · Daniel Findeis · Harald Koefeler · Frank Döring · Frank Döring
Comparative anti-inflammatory and lipid-normalizing effects of metformin and omega-3 fatty acids through modulation of transcription factors in diabetic rats Abhijit A. Ghadge · Abhay Harsulkar · Manjiri Karandikar · Vijaya A. Pandit · Aniket Kuvalekar · Aniket Kuvalekar
Genetic susceptibility to dyslipidemia and incidence of cardiovascular disease depending on a diet quality index in the Malmö Diet and Cancer cohort Sophie Hellstrand · Ulrika Ericson · Christina-Alexandra Schulz · Isabel Drake · Bo Gullberg · Bo Hedblad · Gunnar Engström · Marju Orho-Melander · Emily Sonestedt · Emily Sonestedt
Moderately decreased maternal dietary energy intake during pregnancy reduces fetal skeletal muscle mitochondrial biogenesis in the pigs Tiande Zou · Bing Yu · Jie Yu · Xiangbing Mao · Ping Zheng · Jun He · Zhiqing Huang · Yue Liu · Daiwen Chen · Daiwen Chen
Curcumin and tetrahydrocurcumin both prevent osteoarthritis symptoms and decrease the expressions of pro-inflammatory cytokines in estrogen-deficient rats Sunmin Park · La Ra Lee · Ji Hyun Seo · Suna Kang · Suna Kang
Effect of a diet enriched with omega-6 and omega-3 fatty acids on the pig liver transcriptome Agnieszka Szostak · Magdalena Ogłuszka · Marinus F.W. te Pas · Ewa Poławska · Paweł Urbański · Edyta Juszczuk-Kubiak · Tadeusz Blicharski · Chandra S. Pareek · Jenelle R. Dunkelberger · Jarosław Horbańczuk · Mariusz Pierzchała · Mariusz Pierzchała
Circulating microRNAs are deregulated in overweight/obese children: preliminary results of the I.Family study Giuseppe Iacomino · Paola Russo · Ilaria Stillitano · Fabio Lauria · Pasquale Marena · Wolfgang Ahrens · Wolfgang Ahrens · Pasquale De Luca · Alfonso Siani · Alfonso Siani
Several type 2 diabetes-associated variants in genes annotated to WNT signaling interact with dietary fiber in relation to incidence of type 2 diabetes George Hindy · Inês G. Mollet · Gull Rukh · Ulrika Ericson · Marju Orho-Melander · Marju Orho-Melander
Effects of a healthy Nordic diet on gene expression changes in peripheral blood mononuclear cells in response to an oral glucose tolerance test in subjects with metabolic syndrome: a SYSDIET sub-study Lena Leder · Marjukka Kolehmainen · Ingunn Narverud · Ingrid Dahlman · Mari C. W. Myhrstad · Vanessa D. de Mello · Jussi Paananen · Carsten Carlberg · Ursula Schwab · Karl-Heinz Herzig · Lieselotte Cloetens · Matilda Ulmius Storm · Janne Hukkanen · Janne Hukkanen · Markku J. Savolainen · Markku J. Savolainen · Fredrik Rosqvist · Kjeld Hermansen · Lars O. Dragsted · Ingibjorg Gunnarsdottir · Inga Thorsdottir · Ulf Risérus · Björn Åkesson · Magne Thoresen · Peter Arner · Kaisa Poutanen · Matti Uusitupa · Kirsten B. Holven · Kirsten B. Holven · Stine M. Ulven · Stine M. Ulven · Stine M. Ulven
Vitamin A deficiency modulates iron metabolism independent of hemojuvelin (Hfe2) and bone morphogenetic protein 6 (Bmp6) transcript levels Juliana Frossard Ribeiro Mendes · Egle Machado de Almeida Siqueira · João Gabriel Marques de Brito e Silva · Sandra Fernandes Arruda · Sandra Fernandes Arruda
Coordinated regulation of hepatic and adipose tissue transcriptomes by the oral administration of an amino acid mixture simulating the larval saliva of Vespa species Fumika Shinozaki · Takashi Abe · Asuka Kamei · Yuki Watanabe · Akihito Yasuoka · Kosuke Shimada · Kaori Kondo · Soichi Arai · Kota Kumagai · Takashi Kondo · Keiko Abe · Keiko Abe
Transcriptomic profile adaptations following exposure of equine satellite cells to nutriactive phytochemical gamma-oryzanol K. A. Szcześniak · Anna Ciecierska · Piotr Ostaszewski · Tomasz Sadkowski · Tomasz Sadkowski
Differences in genome-wide gene expression response in peripheral blood mononuclear cells between young and old men upon caloric restriction I.P.G. van Bussel · A. Jolink-Stoppelenburg · C.P.G.M. de Groot · Michael Müller · Michael Müller · Lydia A. Afman · Lydia A. Afman
Biomarkers for nutrient intake with focus on alternative sampling techniques Torgeir Holen · Frode Norheim · Thomas E. Gundersen · P. Mitry · J. Linseisen · Per Ole Iversen · Christian A. Drevon · Christian A. Drevon
Erratum to: The PNPLA3 Ile148Met interacts with overweight and dietary intakes on fasting triglyceride levels Ivana A. Stojkovic · Ulrika Ericson · Gull Rukh · Martin Ridderstråle · Martin Ridderstråle · Stefano Romeo · Marju Orho-Melander · Marju Orho-Melander
Dibutyryl-cAMP affecting fat deposition of finishing pigs by decreasing the inflammatory system related to insulin sensitive or lipolysis Xianyong Ma · Wei Fang · Zongyong Jiang · Li Wang · Xuefen Yang · Kaiguo Gao · Kaiguo Gao
Metallothioneins 1 and 2, but not 3, are regulated by nutritional status in rat white adipose tissue Sylwia Szrok · Ewa Stelmanska · Jacek Turyn · Aleksandra Bielicka-Giełdoń · Tomasz Sledzinski · Julian Swierczynski · Julian Swierczynski
Linkage and association analysis of circulating vitamin D and parathyroid hormone identifies novel loci in Alaska Native Yupik people Stella Aslibekyan · Laura K. Vaughan · Howard W. Wiener · Bertha Hidalgo · Dominick J. Lemas · Diane M. O’Brien · Scarlett E. Hopkins · Kimber L. Stanhope · Peter J. Havel · Kenneth E. Thummel · Bert B. Boyer · Hemant K. Tiwari · Hemant K. Tiwari
Fatty acid extract from CLA-enriched egg yolks can mediate transcriptome reprogramming of MCF-7 cancer cells to prevent their growth and proliferation Aneta Koronowicz · Paula Banks · Dominik Domagała · Adam Master · Teresa Leszczyńska · Ewelina Piasna · Mariola Marynowska · Piotr Laidler · Piotr Laidler
The impact of MTHFR 677C → T risk knowledge on changes in folate intake: findings from the Food4Me study Clare B. O’Donovan · Marianne C. Walsh · Hannah Forster · Clara Woolhead · Carlos Celis-Morales · Rosalind Fallaize · Anna L. Macready · Cyril F. M. Marsaux · Santiago Navas-Carretero · Santiago Navas-Carretero · Rodrigo San-Cristobal · Silvia Kolossa · Christina Mavrogianni · Christina P. Lambrinou · George Moschonis · Magdalena Godlewska · Agnieszka Surwiłło · Jildau Bouwman · Keith Grimaldi · Iwona Traczyk · Christian A. Drevon · Hannelore Daniel · J. Alfredo Martínez · J. Alfredo Martínez · Wim H. M. Saris · Julie A. Lovegrove · John C. Mathers · M. J. Gibney · Lorraine Brennan · Eileen R. Gibney · Eileen R. Gibney
The effect of maternal undernutrition on the rat placental transcriptome: protein restriction up-regulates cholesterol transport Zoe Daniel · Angelina Swali · Richard D. Emes · Simon C. Langley-Evans · Simon C. Langley-Evans
Ancient pathogen-driven adaptation triggers increased susceptibility to non-celiac wheat sensitivity in present-day European populations Marco Sazzini · Sara De Fanti · Anna Cherubini · Andrea Quagliariello · Giuseppe Profiti · Pier Luigi Martelli · Rita Casadio · Chiara Ricci · Massimo Campieri · Alberto Lanzini · Umberto Volta · Giacomo Caio · Claudio Franceschi · Enzo Spisni · Donata Luiselli · Donata Luiselli
Liver-specific NG37 overexpression leads to diet-dependent fatty liver disease accompanied by cardiac dysfunction Xin Zhou · Meng Meng Xu · Liyang Wang · Yulian Mu · Rui Feng · Zhilong Dong · Yuexin Pan · Xunzhang Chen · Yongfeng Liu · Shangen Zheng · Donald D. Anthony · Jianjie Ma · Williams Isaacs · Xuehong Xu · Xuehong Xu
The PBMC transcriptome profile after intake of oxidized versus high-quality fish oil: an explorative study in healthy subjects Mari C. W. Myhrstad · Inger Ottestad · Inger Ottestad · Clara-Cecilie Günther · Einar Ryeng · Marit Holden · Astrid Nilsson · Kirsti Wettre Brønner · Achim Kohler · Grethe Iren A. Borge · Kirsten B. Holven · Kirsten B. Holven · Stine M. Ulven · Stine M. Ulven · Stine M. Ulven
Hepatic transcriptome implications for palm fruit juice deterrence of type 2 diabetes mellitus in young male Nile rats Soon-Sen Leow · Julia Bolsinger · Andrzej Pronczuk · K. C. Hayes · Ravigadevi Sambanthamurthi · Ravigadevi Sambanthamurthi
Improper hydration induces global gene expression changes associated with renal development in infant mice Chong-Su Kim · Dong-Mi Shin · Dong-Mi Shin
Time-course microarray analysis for identifying candidate genes involved in obesity-associated pathological changes in the mouse colon Yun Jung Bae · Sung-Eun Kim · Seong Yeon Hong · Taesun Park · Taesun Park · Sang Gyu Lee · Myung-Sook Choi · Mi-Kyung Sung · Mi-Kyung Sung · Mi-Kyung Sung
Effect of diets supplemented with different conjugated linoleic acid (CLA) isomers on protein expression in C57/BL6 mice L. Della Casa · Elena Rossi · C. Romanelli · Lara Gibellini · Anna Iannone · Anna Iannone
Tocotrienols induce endoplasmic reticulum stress and apoptosis in cervical cancer cells Raffaella Comitato · Barbara Guantario · Guido Leoni · Kalanithi Nesaretnam · Maria Beatrice Ronci · Raffaella Canali · Fabio Virgili · Fabio Virgili

Correction to: Biomarkers of legume intake in human intervention and observational studies: a systematic review
Genes and Nutrition | 2018
Pedapati S. C. Sri Harsha · Roshaida Abdul Wahab · Mar Garcia-Aloy · Francisco Madrid-Gambin · Sheila Estruel-Amades · Bernhard Watzl · Cristina Andres-Lacueva · Lorraine Brennan · Lorraine Brennan
Exploring the cellular network of metabolic flexibility in the adipose tissue
Genes and Nutrition | 2018
Samar Hayat Khan Tareen · Martina Kutmon · Michiel E. Adriaens · Edwin C. M. Mariman · Theo M. de Kok · Ilja C. W. Arts · Chris T. Evelo · Chris T. Evelo
Dietary and genetic risk scores and incidence of type 2 diabetes
Genes and Nutrition | 2018
Ulrika Ericson · George Hindy · Isabel Drake · Christina-Alexandra Schulz · Louise Brunkwall · Sophie Hellstrand · Peter Almgren · Marju Orho-Melander · Marju Orho-Melander
Validation of biomarkers of food intake—critical assessment of candidate biomarkers
Genes and Nutrition | 2018
Lars O. Dragsted · Qian Gao · Augustin Scalbert · Guy Vergères · Marjukka Kolehmainen · Claudine Manach · Lorraine Brennan · Lydia A. Afman · David S. Wishart · C. Andres Lacueva · C. Andres Lacueva · Mar Garcia-Aloy · Mar Garcia-Aloy · H. Verhagen · H. Verhagen · Edith J. M. Feskens · Giulia Praticò · Giulia Praticò