Nature Medicine
最新影响因子 - 实时趋势预测 & 排名分区分析








Nature Medicine

Nature Medicine 2019-2020 年的影响因子为36.13。

Nature Medicine Impact Factor
最高影响因子 IF

近十年Nature Medicine的最高影响因子为36.13。

最低影响因子 IF

近十年Nature Medicine的最低影响因子为22.462。

影响因子 总成长率
影响因子 总成长率

近十年Nature Medicine的影响因子总成长率为60.8%。

影响因子 平均成长率
影响因子 平均成长率

近十年Nature Medicine的影响因子平均成长率为6.8%。


子领域 分区 排名 百分比
General Biochemistry,Genetics and Molecular Biology 1区 2/197

General Biochemistry,Genetics and Molecular Biology 99%


· 在General Biochemistry,Genetics and Molecular Biology研究领域,Nature Medicine的分区数为1区。Nature Medicine在General Biochemistry,Genetics and Molecular Biology研究类别的197种相关期刊中排名第2。在General Biochemistry,Genetics and Molecular Biology领域,Nature Medicine的排名百分位约为99%。

Nature Medicine Impact Factor 2020-2021 Prediction

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2019-2020 36.13
2018-2019 30.641
2017-2018 32.621
2016-2017 29.886
2015-2016 30.357
2014-2015 28.223
2013-2014 28.054
2012-2013 24.302
2011-2012 22.462

· Nature Medicine 2019-2020年的影响因子为36.13
· Nature Medicine 2018-2019年的影响因子为30.641
· Nature Medicine 2017-2018年的影响因子为32.621
· Nature Medicine 2016-2017年的影响因子为29.886
· Nature Medicine 2015-2016年的影响因子为30.357
· Nature Medicine 2014-2015年的影响因子为28.223
· Nature Medicine 2013-2014年的影响因子为28.054
· Nature Medicine 2012-2013年的影响因子为24.302
· Nature Medicine 2011-2012年的影响因子为22.462


出版数量 引用数量
出版数量 引用数量
1994 1 41
1995 534 999
1996 567 4710
1997 500 12080
1998 555 19889
1999 539 29406
2000 511 37416
2001 453 44532
2002 434 51108
2003 454 57471
2004 490 63225
2005 440 70253
2006 436 77427
2007 394 80018
2008 372 85466
2009 432 86613
2010 498 92113
2011 586 98970
2012 553 108272
2013 471 116429
2014 386 115034
2015 276 113943
2016 272 110969
2017 255 115565
2018 334 102162
2019 411 117158
2020 485 164261
2021 38 12861

· Nature Medicine于1994年发表了1篇报告,并取得41篇引用文献。
· Nature Medicine于1995年发表了534篇报告,并取得999篇引用文献。
· Nature Medicine于1996年发表了567篇报告,并取得4710篇引用文献。
· Nature Medicine于1997年发表了500篇报告,并取得12080篇引用文献。
· Nature Medicine于1998年发表了555篇报告,并取得19889篇引用文献。
· Nature Medicine于1999年发表了539篇报告,并取得29406篇引用文献。
· Nature Medicine于2000年发表了511篇报告,并取得37416篇引用文献。
· Nature Medicine于2001年发表了453篇报告,并取得44532篇引用文献。
· Nature Medicine于2002年发表了434篇报告,并取得51108篇引用文献。
· Nature Medicine于2003年发表了454篇报告,并取得57471篇引用文献。
· Nature Medicine于2004年发表了490篇报告,并取得63225篇引用文献。
· Nature Medicine于2005年发表了440篇报告,并取得70253篇引用文献。
· Nature Medicine于2006年发表了436篇报告,并取得77427篇引用文献。
· Nature Medicine于2007年发表了394篇报告,并取得80018篇引用文献。
· Nature Medicine于2008年发表了372篇报告,并取得85466篇引用文献。
· Nature Medicine于2009年发表了432篇报告,并取得86613篇引用文献。
· Nature Medicine于2010年发表了498篇报告,并取得92113篇引用文献。
· Nature Medicine于2011年发表了586篇报告,并取得98970篇引用文献。
· Nature Medicine于2012年发表了553篇报告,并取得108272篇引用文献。
· Nature Medicine于2013年发表了471篇报告,并取得116429篇引用文献。
· Nature Medicine于2014年发表了386篇报告,并取得115034篇引用文献。
· Nature Medicine于2015年发表了276篇报告,并取得113943篇引用文献。
· Nature Medicine于2016年发表了272篇报告,并取得110969篇引用文献。
· Nature Medicine于2017年发表了255篇报告,并取得115565篇引用文献。
· Nature Medicine于2018年发表了334篇报告,并取得102162篇引用文献。
· Nature Medicine于2019年发表了411篇报告,并取得117158篇引用文献。
· Nature Medicine于2020年发表了485篇报告,并取得164261篇引用文献。
· Nature Medicine于2021年发表了38篇报告,并取得12861篇引用文献。
· Nature Medicine的总出版物为11677。
· Nature Medicine的总引用为1988391。

Nature Medicine
Nature Medicine | Academic Accelerator - About the Journal


Nature Medicine publishes research that addresses the needs and goals of contemporary medicine. Original research ranges from new concepts in human biology and disease pathogenesis to robust preclinical bases for new therapeutic modalities and drug development to all phases of clinical work, as well as innovative technologies aimed at improving human health.Current areas of interest also include, but are not limited to:-Gene and cell therapies-Clinical genomics-Regenerative medicine-High-definition medicine-Effects of the environment in human health-Artificial intelligence in health care-Smart wearable devices-Early disease diagnosis-Microbiome-AgingNature Medicine also publishes Reviews, Perspectives and other content commissioned from leading scientists in their fields to provide expert and contextualized views of the latest research driving the progress of medicine. The News section is editorially independent and provides topical and timely reporting of upcoming trends affecting medicine, researchers and the general audience. Nature Medicine is a monthly peer-reviewed medical journal publishing research articles, reviews, news and commentaries in the biomedical area, including both basic research and early-phase clinical research covering all aspects of medicine. The journal seeks to publish research papers that demonstrate novel insight into disease processes, with direct evidence of the physiological relevance of the results.


Nature Medicine的ISSN是 1078-8956 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)

Nature Medicine的ISSN(Online)是 1546-170X . 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。

Nature Publishing Group

Nature Medicine的出版社是 Nature Publishing Group


Nature Medicine publishes reports Monthly .

1995 - Present

Nature Medicine的出版年度包含 1995 - Present .


Nature Medicine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 Nature Medicine. Nature Medicine 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 Nature Medicine is English .

United Kingdom

The publisher of Nature Medicine is Nature Publishing Group , 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.

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


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。

Nature Medicine | 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。