Genomics, Proteomics and Bioinformatics
Impact Factor & Key Scientometrics

Genomics, Proteomics and Bioinformatics
Overview

Impact Factor

7.691

H Index

56

Impact Factor

5.629

I. Basic Journal Info

Country

China
Journal ISSN: 16720229
Publisher: Beijing Genomics Institute
History: 2003-2020
Journal Hompage: Link
How to Get Published:

Research Categories

Genomics, Proteomics and Bioinformatics
Impact Factor by Web of Science

Index

SCIE/SSCI

Impact Factor

7.691

by WOS

Ranking

775

by WOS

Genomics, Proteomics and Bioinformatics
SJR, SJR Impact Factor and H Index

H Index

56

SJR

3.114

Scopus Impact Factor

5.629

Genomics, Proteomics and Bioinformatics
SJR Impact Factor 2-year, 3-year, 4-year

2-year
Impact Factor

5.629

3-year
Impact Factor

7.649

4-year
Impact Factor

5.629

Scope/Description:

Genomics, Proteomics and Bioinformatics (GPB) is the official journal of Beijing Institute of Genomics, Chinese Academy of Sciences and Genetics Society of China. The goals of GPB are to disseminate new frontiers in the field of omics and bioinformatics, to publish high-quality discoveries in a fast-pace, and to promote open access and online publication via Article-in-Press for efficient publishing. GPB is interested in submissions across all areas of life science, biology, and biomedicine, focusing on large data acquisition, analysis, and curation. Manuscripts with topics on omics and the related bioinformatics are all welcome to publish with us.

II. Science Citation Report (SCR)



Genomics, Proteomics and Bioinformatics
SCR Impact Factor

Genomics, Proteomics and Bioinformatics
SCR Journal Ranking

Genomics, Proteomics and Bioinformatics
SCImago SJR Rank

SCImago Journal Rank (SJR indicator) is a measure of scientific influence of scholarly journals that accounts for both the number of citations received by a journal and the importance or prestige of the journals where such citations come from.

3.114

Genomics, Proteomics and Bioinformatics
Scopus 2-Year Impact Factor Trend

Note: impact factor data for reference only

Genomics, Proteomics and Bioinformatics
Scopus 3-Year Impact Factor Trend

Note: impact factor data for reference only

Genomics, Proteomics and Bioinformatics
Scopus 4-Year Impact Factor Trend

Note: impact factor data for reference only

Genomics, Proteomics and Bioinformatics
Impact Factor History

2-year 3-year 4-year
  • 2021 Impact Factor
    5.629 7.649 8.33
  • 2020 Impact Factor
    6.414 7.359 8.05
  • 2019 Impact Factor
    6.134 7.007 7.99
  • 2018 Impact Factor
    5.828 6.951 6.267
  • 2017 Impact Factor
    6.084 5.376 4.557
  • 2016 Impact Factor
    3.483 3.194 3.13
  • 2015 Impact Factor
    2.633 2.529 2.337
  • 2014 Impact Factor
    2.378 NA NA
  • 2013 Impact Factor
    1.521 NA NA
  • 2012 Impact Factor
    1.339 NA NA
  • 2011 Impact Factor
    1.077 NA NA
  • 2010 Impact Factor
    0.86 NA NA
  • 2009 Impact Factor
    1.34 NA NA
  • 2008 Impact Factor
    1 NA NA
  • 2007 Impact Factor
    0.712 NA NA
  • 2006 Impact Factor
    0.851 NA NA
  • 2005 Impact Factor
    0.662 NA NA
  • 2004 Impact Factor
    0.216 NA NA
  • 2003 Impact Factor
    0 NA NA
  • 2002 Impact Factor
    NA NA NA
  • 2001 Impact Factor
    NA NA NA
  • 2000 Impact Factor
    NA NA NA
Note: impact factor data for reference only

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Impact Factor

Impact factor (IF) is a scientometric factor based on the yearly average number of citations on articles published by a particular journal in the last two years. A journal impact factor is frequently used as a proxy for the relative importance of a journal within its field. Find out more: What is a good impact factor?


III. Other Science Influence Indicators

Any impact factor or scientometric indicator alone will not give you the full picture of a science journal. There are also other factors such as H-Index, Self-Citation Ratio, SJR, SNIP, etc. Researchers may also consider the practical aspect of a journal such as publication fees, acceptance rate, review speed. (Learn More)

Genomics, Proteomics and Bioinformatics
H-Index

The h-index is an author-level metric that attempts to measure both the productivity and citation impact of the publications of a scientist or scholar. The index is based on the set of the scientist's most cited papers and the number of citations that they have received in other publications

56

Genomics, Proteomics and Bioinformatics
H-Index History