Progress in Lipid Research
最新影响因子 - 实时趋势预测 & 排名分区分析








Progress in Lipid Research

Progress in Lipid Research 2019-2020 年的影响因子为15.083。

Progress in Lipid Research Impact Factor
最高影响因子 IF

近十年Progress in Lipid Research的最高影响因子为15.083。

最低影响因子 IF

近十年Progress in Lipid Research的最低影响因子为8.435。

影响因子 总成长率
影响因子 总成长率

近十年Progress in Lipid Research的影响因子总成长率为41.4%。

影响因子 平均成长率
影响因子 平均成长率

近十年Progress in Lipid Research的影响因子平均成长率为4.6%。


子领域 分区 排名 百分比
Biochemistry 1区 5/407

Biochemistry 98%

Cell Biology 1区 9/274

Cell Biology 96%


· 在Biochemistry研究领域,Progress in Lipid Research的分区数为1区。Progress in Lipid Research在Biochemistry研究类别的407种相关期刊中排名第5。在Biochemistry领域,Progress in Lipid Research的排名百分位约为98%。
· 在Cell Biology研究领域,Progress in Lipid Research的分区数为1区。Progress in Lipid Research在Cell Biology研究类别的274种相关期刊中排名第9。在Cell Biology领域,Progress in Lipid Research的排名百分位约为96%。

Progress in Lipid Research Impact Factor 2020-2021 Prediction

Progress in Lipid Research Impact Factor Predition System

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2019-2020 15.083
2018-2019 12.54
2017-2018 8.435
2016-2017 10.583
2015-2016 11.238
2014-2015 10.015
2013-2014 12.963
2012-2013 10.25
2011-2012 10.667

· Progress in Lipid Research 2019-2020年的影响因子为15.083
· Progress in Lipid Research 2018-2019年的影响因子为12.54
· Progress in Lipid Research 2017-2018年的影响因子为8.435
· Progress in Lipid Research 2016-2017年的影响因子为10.583
· Progress in Lipid Research 2015-2016年的影响因子为11.238
· Progress in Lipid Research 2014-2015年的影响因子为10.015
· Progress in Lipid Research 2013-2014年的影响因子为12.963
· Progress in Lipid Research 2012-2013年的影响因子为10.25
· Progress in Lipid Research 2011-2012年的影响因子为10.667


出版数量 引用数量
出版数量 引用数量
1978 6 26
1979 11 42
1980 5 53
1981 168 176
1982 12 199
1983 9 316
1984 8 476
1985 9 533
1986 131 647
1987 7 706
1988 12 795
1989 12 995
1990 10 823
1991 25 1108
1992 16 1186
1993 15 1158
1994 26 1268
1995 14 1411
1996 14 1514
1997 11 1589
1998 14 1615
1999 15 1878
2000 17 1914
2001 15 2000
2002 19 2441
2003 23 2635
2004 20 3143
2005 14 3560
2006 22 4149
2007 16 4656
2008 26 4978
2009 23 5867
2010 36 6159
2011 32 7208
2012 24 8138
2013 45 8779
2014 22 9176
2015 26 9013
2016 79 8708
2017 23 8569
2018 19 7581
2019 29 8513
2020 30 10271
2021 9 925

· Progress in Lipid Research于1978年发表了6篇报告,并取得26篇引用文献。
· Progress in Lipid Research于1979年发表了11篇报告,并取得42篇引用文献。
· Progress in Lipid Research于1980年发表了5篇报告,并取得53篇引用文献。
· Progress in Lipid Research于1981年发表了168篇报告,并取得176篇引用文献。
· Progress in Lipid Research于1982年发表了12篇报告,并取得199篇引用文献。
· Progress in Lipid Research于1983年发表了9篇报告,并取得316篇引用文献。
· Progress in Lipid Research于1984年发表了8篇报告,并取得476篇引用文献。
· Progress in Lipid Research于1985年发表了9篇报告,并取得533篇引用文献。
· Progress in Lipid Research于1986年发表了131篇报告,并取得647篇引用文献。
· Progress in Lipid Research于1987年发表了7篇报告,并取得706篇引用文献。
· Progress in Lipid Research于1988年发表了12篇报告,并取得795篇引用文献。
· Progress in Lipid Research于1989年发表了12篇报告,并取得995篇引用文献。
· Progress in Lipid Research于1990年发表了10篇报告,并取得823篇引用文献。
· Progress in Lipid Research于1991年发表了25篇报告,并取得1108篇引用文献。
· Progress in Lipid Research于1992年发表了16篇报告,并取得1186篇引用文献。
· Progress in Lipid Research于1993年发表了15篇报告,并取得1158篇引用文献。
· Progress in Lipid Research于1994年发表了26篇报告,并取得1268篇引用文献。
· Progress in Lipid Research于1995年发表了14篇报告,并取得1411篇引用文献。
· Progress in Lipid Research于1996年发表了14篇报告,并取得1514篇引用文献。
· Progress in Lipid Research于1997年发表了11篇报告,并取得1589篇引用文献。
· Progress in Lipid Research于1998年发表了14篇报告,并取得1615篇引用文献。
· Progress in Lipid Research于1999年发表了15篇报告,并取得1878篇引用文献。
· Progress in Lipid Research于2000年发表了17篇报告,并取得1914篇引用文献。
· Progress in Lipid Research于2001年发表了15篇报告,并取得2000篇引用文献。
· Progress in Lipid Research于2002年发表了19篇报告,并取得2441篇引用文献。
· Progress in Lipid Research于2003年发表了23篇报告,并取得2635篇引用文献。
· Progress in Lipid Research于2004年发表了20篇报告,并取得3143篇引用文献。
· Progress in Lipid Research于2005年发表了14篇报告,并取得3560篇引用文献。
· Progress in Lipid Research于2006年发表了22篇报告,并取得4149篇引用文献。
· Progress in Lipid Research于2007年发表了16篇报告,并取得4656篇引用文献。
· Progress in Lipid Research于2008年发表了26篇报告,并取得4978篇引用文献。
· Progress in Lipid Research于2009年发表了23篇报告,并取得5867篇引用文献。
· Progress in Lipid Research于2010年发表了36篇报告,并取得6159篇引用文献。
· Progress in Lipid Research于2011年发表了32篇报告,并取得7208篇引用文献。
· Progress in Lipid Research于2012年发表了24篇报告,并取得8138篇引用文献。
· Progress in Lipid Research于2013年发表了45篇报告,并取得8779篇引用文献。
· Progress in Lipid Research于2014年发表了22篇报告,并取得9176篇引用文献。
· Progress in Lipid Research于2015年发表了26篇报告,并取得9013篇引用文献。
· Progress in Lipid Research于2016年发表了79篇报告,并取得8708篇引用文献。
· Progress in Lipid Research于2017年发表了23篇报告,并取得8569篇引用文献。
· Progress in Lipid Research于2018年发表了19篇报告,并取得7581篇引用文献。
· Progress in Lipid Research于2019年发表了29篇报告,并取得8513篇引用文献。
· Progress in Lipid Research于2020年发表了30篇报告,并取得10271篇引用文献。
· Progress in Lipid Research于2021年发表了9篇报告,并取得925篇引用文献。
· Progress in Lipid Research的总出版物为1119。
· Progress in Lipid Research的总引用为146897。

Progress in Lipid Research
Progress in Lipid Research | Academic Accelerator - About the Journal


The importance of lipids as one of the fundamental classes of biological compounds is well established. The application of our of the biochemistry, chemistry and physiology of lipids to biotechnology, the fats and oils industry and medicine have continued to expand apace. In addition new dimensions such as lipid biophysics, especially with relevance to membranes and lipoproteins, and basic liposome research and applications have been added. To cope with all these advances in knowledge a journal is needed to review recent progress in particular fields and to set current research against its historical background. Progress in Lipid Research fulfils this role.Each volume contains up-to-date surveys of special aspects of lipid research. The invited reviews are comprehensive enough to provide sufficient overview but concentrate on reporting and critically appraising the most recent data. Subjects are chosen for their timeliness or because major developments have taken place in the last few years. They include methodological reviews as well as chemical, biochemical and medical articles. All lipid compounds and derivatives are covered, ranging from fatty acids and other simple molecules, through steroids, terpenoids and phospho- or glycolipids to complex structures such as lipoproteins and biological membranes. We hope that those whose main interest is in lipid biophysics and liposome research will join as new readers, benefiting from the journal's classical aspects of lipid metabolism, lipids in signal transduction and lipid enzymology, and that current readers will benefit from the exposure to top quality research on the new aspects. None


Progress in Lipid Research的ISSN是 0163-7827 ISSN是一个8位数的代码,用于识别各种报纸,期刊,杂志和期刊以及所有媒体 - 包括印刷版和电子版。

ISSN (Online)
ISSN (Online)

Progress in Lipid Research的ISSN(Online)是 1873-2194 . ISSN是一个8位数的代码,用于识别各种报纸,期刊,杂志和期刊以及所有媒体 - 包括印刷版和电子版。

Elsevier Ltd.

Progress in Lipid Research的出版社是 Elsevier Ltd.


Progress in Lipid Research publishes reports Quarterly .

1978 - Present

Progress in Lipid Research的出版年度包含 1978 - Present .


Progress in Lipid Research传统订阅 (non-OA) 期刊。出版商拥有其期刊中文章的版权。任何想要阅读文章的人都应该由个人或机构支付费用来访问这些文章。任何人想以任何方式使用这些文章都必须获得出版商的许可。


There is no publication fee for submiting manuscript to Progress in Lipid Research. Progress in Lipid Research is Subscription-based (non-OA) Journal. Publishers own the rights to the articles in their journals. Anyone who wants to read the articles should pay by individual or institution to access the articles.


The language of Progress in Lipid Research is English .

United Kingdom

The publisher of Progress in Lipid Research is Elsevier Ltd. , which locates in United Kingdom .

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.

Progress in Lipid Research | 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 Progress in Lipid Research Impact Factor IF measures the average number of citations received in a particular year (2020) by papers published in the Progress in Lipid Research 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 Progress in Lipid Research.


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.


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


  • A vetted, established metric for measuring journal impact within a discipline.
  • Designed to eliminate bias based on journal size and frequency.
  • 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.


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)


影响因子(IF)经常用作表明期刊对其领域重要性的指标。它是由科学信息研究所的创始人Eugene Garfield首次提出的。尽管IF被机构和临床医生广泛使用,但是人们对于IF日记的计算方法,其意义以及如何利用它存在着广泛的误解。期刊的影响因子与同行评议过程的质量和期刊的内容质量等因素无关,而是一种反映对期刊,书籍,论文,项目报告,报纸上发表的文章的平均引用次数的度量,会议/研讨会论文集,在互联网上发布的文件,说明以及任何其他批准的文件。

Progress in Lipid Research | Academic Accelerator - About the Impact Factor

影响因子通常用于评估期刊在其领域内的相对重要性,以及衡量期刊在特定时间段内引用“平均文章”的频率。发表更多评论文章的期刊将获得最高的IF。 IF较高的期刊被认为比IF较低的期刊更重要。根据尤金·加菲尔德(Eugene Garfield)的说法,“影响只是反映期刊和编辑吸引最佳论文的能力。”发表更多评论文章的期刊将获得最大的IF。