World's Best Scientists 2026 revealed!
BMC Genomics
H-index 53

BMC Genomics

1471-2164

Published by: Springer

https://bmcgenomics.biomedcentral.com

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Genetics 20 421 461 37

Additional Metrics

Number of Best Scientists*: 1965
Documents by Best Scientists*: 1616
Top 100 Ranked Scientists*: 71
SCIMAGO H-index: 208
SCIMAGO SJR: 1.003
Impact Factor: 3.7

Overview

Top Research Topics at BMC Genomics?

Genetics, Gene, DNA microarray, Genome and Transcriptome are among the topics commonly tackled in the journal. Gene expression profiling, Genomics, Regulation of gene expression, DNA sequencing and Single-nucleotide polymorphism are Genetics topics of special interest in BMC Genomics. The work on Single-nucleotide polymorphism presented in the journal focuses on Genome-wide association study in particular.

It focuses on Gene as well as the interrelated topic of Cell biology. The journal deals with DNA microarray in conjunction with Proteomics and similar fields in Proteome. Topics in Genome explored in the journal were investigated in conjunction with research in Evolutionary biology, Phylogenetics and Phylogenetic tree.

The study on Transcriptome presented in it intersects with the topics under Botany. The study on Gene expression presented is investigated in conjunction with research in Molecular biology. The journal connects the study in Candidate gene with the closely related area of Quantitative trait locus.

  • Genetics (62.04%)
  • Gene (40.16%)
  • DNA microarray (33.59%)

What are the most cited papers published in the journal?

  • The RAST Server: Rapid Annotations using Subsystems Technology (7523 citations)
  • A tale of three next generation sequencing platforms: comparison of Ion Torrent, Pacific Biosciences and Illumina MiSeq sequencers. (1543 citations)
  • BLAST Ring Image Generator (BRIG) : simple prokaryote genome comparisons (1525 citations)

Research areas of the most cited articles at BMC Genomics:

Genetics, Gene, Genome, DNA microarray and Gene expression profiling are the main subjects of interest in the journal articles. The journal papers link adjacent topics like Genetics with Computational biology. The study of DNA microarray in the journal publications encompasses disciplines such as Proteomics, as well as fields such as Proteome, all of which overlap with one another.

Papers citation over time

A key indicator for each journal is its effectiveness in reaching other researchers with the papers published at that venue.

The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.

The top authors publishing in BMC Genomics (based on the number of publications) are:

  • Youping Deng (35 papers) published 1 paper at the last edition,
  • Mohammed H. Al-Qahtani (30 papers) absent at the last edition,
  • Jack Y. Yang (28 papers) absent at the last edition,
  • Zhongming Zhao (28 papers) absent at the last edition,
  • Martien A. M. Groenen (28 papers) published 1 paper at the last edition the same number as at the previous edition.

The overall trend for top authors publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top authors.

Only papers with recognized affiliations are considered

The top affiliations publishing in BMC Genomics (based on the number of publications) are:

  • Chinese Academy of Sciences (471 papers) published 42 papers at the last edition, 2 less than at the previous edition,
  • Institut national de la recherche agronomique (336 papers) published 1 paper at the last edition the same number as at the previous edition,
  • Agricultural Research Service (284 papers) published 12 papers at the last edition, 7 less than at the previous edition,
  • National Institutes of Health (265 papers) published 8 papers at the last edition, 5 less than at the previous edition,
  • Max Planck Society (242 papers) published 6 papers at the last edition, 2 less than at the previous edition.

The overall trend for top affiliations publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top affiliations.

Publication chance based on affiliation

The publication chance index shows the ratio of articles published by the best research institutions in the journal edition to all articles published within that journal. The best research institutions were selected based on the largest number of articles published during all editions of the journal.

The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.

During the most recent 2021 edition, 4.75% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 13.39% were posted by at least one author from the top 10 institutions publishing in the journal. Another 7.41% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 13.39% of all publications and 65.81% were from other institutions.

Returning Authors Index

A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of journals they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same journal from year to year.

The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the journal in relation to all participants in a given year.

Returning Institution Index

The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.

The experience to innovation index

Our experience to innovation index was created to show a cross-section of the experience level of authors publishing in a journal. The index includes the authors publishing at the last edition of a journal, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).

The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:

  • Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
  • Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
  • Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
  • Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
  • Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

Top Publications

  • Seamless integration of image and molecular analysis for spatial transcriptomics workflows

    Joseph Bergenstråhle;Ludvig Larsson;Joakim Lundeberg

    (2020)
    204 Citations
  • MutationalPatterns: the one stop shop for the analysis of mutational processes

    (2021)
    169 Citations
  • GWAS and fine-mapping of livability and six disease traits in Holstein cattle.

    Ellen Freebern;Daniel J. A. Santos;Lingzhao Fang;Lingzhao Fang;Jicai Jiang

    (2020)
    127 Citations
  • Illuminating the dark side of the human transcriptome with long read transcript sequencing

    Richard I. Kuo;Yuanyuan Cheng;Yuanyuan Cheng;Runxuan Zhang;John W. S. Brown;John W. S. Brown

    (2020)
    124 Citations
  • AMPlify: attentive deep learning model for discovery of novel antimicrobial peptides effective against WHO priority pathogens

    (2022)
    117 Citations
  • Enhanced genome assembly and a new official gene set for Tribolium castaneum

    Nicolae Herndon;Jennifer Shelton;Lizzy Gerischer;Panos Ioannidis

    (2020)
    97 Citations
  • Refining the transcriptome of the human malaria parasite Plasmodium falciparum using amplification-free RNA-seq

    Lia Chappell;Philipp Ross;Philipp Ross;Lindsey Orchard;Timothy J. Russell

    (2020)
    95 Citations
  • Phylogenomics of expanding uncultured environmental Tenericutes provides insights into their pathogenicity and evolutionary relationship with Bacilli

    Yong Wang;Jiao-Mei Huang;Ying-Li Zhou;Alexandre Almeida;Alexandre Almeida

    (2020)
    91 Citations
  • Tracy: basecalling, alignment, assembly and deconvolution of sanger chromatogram trace files.

    Tobias Rausch;Tobias Rausch;Markus Hsi-Yang Fritz;Andreas Untergasser;Andreas Untergasser;Vladimir Benes

    (2020)
    81 Citations
  • Intellectual disability genomics: current state, pitfalls and future challenges

    (2021)
    79 Citations

Best Scientists Contributing to This Journal

Recently Published Articles