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Genome Biology
H-index 98

Genome Biology

1474-7596

Published by: Springer

https://genomebiology.biomedcentral.com/

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Genetics 2 559 563 79

Additional Metrics

Number of Best Scientists*: 1640
Documents by Best Scientists*: 1051
Top 100 Ranked Scientists*: 89
SCIMAGO H-index: 319
SCIMAGO SJR: 5.71
Impact Factor: 9.4

Overview

Top Research Topics at Genome Biology?

The objective of Genome Biology is to combine knowledge in the areas of Genetics, Human genetics, Computational biology, Evolutionary biology and Gene. Presentations on Genetics include those discussing Genome, Regulation of gene expression, Gene expression profiling, Human genome and Gene expression. Genome Biology explores topics in Genome which can be helpful for research in disciplines like Phylogenetics and DNA sequencing.

Computational genomics, Genome Biology, Functional genomics, Genomics and Bioinformatics are some topics wherein Human genetics research discussed in Genome Biology have an impact. As a part of it, discussions in Genomics involve topics like Comparative genomics and Personal genomics. It focuses on Computational biology but the discussions also offer insight into other areas such as RNA, Chromatin and Transcriptome.

The work tackled in it goes beyond the discipline of Gene as it also encompasses Cell biology.

  • Genetics (46.76%)
  • Human genetics (43.71%)
  • Computational biology (39.53%)

What are the most cited papers published in the journal?

  • Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2 (27000 citations)
  • Ultrafast and memory-efficient alignment of short DNA sequences to the human genome (16279 citations)
  • Accurate normalization of real-time quantitative RT-PCR data by geometric averaging of multiple internal control genes (15238 citations)

Research areas of the most cited articles at Genome Biology:

The published articles primarily tackle Genetics, Genome, Gene, Computational biology and Human genetics. The most cited papers facilitate discussions on Genome that incorporate concepts from other fields like Evolutionary biology, Phylogenetics, Sequence analysis and DNA sequencing. In addition to Computational biology research, the published papers aim to explore topics under Microarray analysis techniques, RNA-Seq, Software and Sequence assembly.

What topics the last edition of the journal is best known for?

  • Gene
  • DNA
  • Genome

The previous edition focused in particular on these issues:

The journal is organized to address concerns in the fields of Computational biology, Human genetics, Gene, Genome and Chromatin. Genome Biology deals with Computational biology in conjunction with RNA splicing and similar fields in Alternative splicing and Exon. Human genetics studies tackled cover an aspect of the field of Genetics.

While the journal focused on Gene, it was also able to explore topics like Evolutionary biology and Context (language use). The subject of Metagenomics, which is connected to the field of Microbiome, serves as the foundation of the Genome research featured in the journal. It addresses concerns in Chromatin which are intertwined with other disciplines, such as Transcription factor, Epigenetics and Cell biology.

The most cited articles from the last journal are:

  • Single-cell proteomic and transcriptomic analysis of macrophage heterogeneity using SCoPE2 (59 citations)
  • scMC learns biological variation through the alignment of multiple single-cell genomics datasets. (40 citations)
  • Exploiting the GTEx resources to decipher the mechanisms at GWAS loci. (38 citations)

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 Genome Biology (based on the number of publications) are:

  • Jonathan B Weitzman (329 papers) absent at the last edition,
  • William Wells (141 papers) absent at the last edition,
  • Gregory A. Petsko (109 papers) absent at the last edition,
  • Cathy Holding (91 papers) absent at the last edition,
  • Tudor Toma (71 papers) absent at the last 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 Genome Biology (based on the number of publications) are:

  • Harvard University (309 papers) published 21 papers at the last edition, 8 less than at the previous edition,
  • National Institutes of Health (209 papers) published 8 papers at the last edition, 2 more than at the previous edition,
  • University of Cambridge (207 papers) published 12 papers at the last edition, 4 less than at the previous edition,
  • Wellcome Trust Sanger Institute (200 papers) published 10 papers at the last edition, 3 less than at the previous edition,
  • Stanford University (179 papers) published 13 papers at the last edition, 5 more 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, 1.02% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 25.68% were posted by at least one author from the top 10 institutions publishing in the journal. Another 15.75% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 24.66% of all publications and 33.90% 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

  • GetOrganelle: a fast and versatile toolkit for accurate de novo assembly of organelle genomes

    Jian Jun Jin;Wen Bin Yu;Wen Bin Yu;Jun Bo Yang;Yu Song;Yu Song

    (2020)
    3748 Citations
  • Merqury: reference-free quality, completeness, and phasing assessment for genome assemblies

    Arang Rhie;Brian P. Walenz;Sergey Koren;Adam M. Phillippy

    (2020)
    1733 Citations
  • Eleven grand challenges in single-cell data science

    David Lähnemann;David Lähnemann;Johannes Köster;Johannes Köster;Ewa Szczurek;Davis J. McCarthy;Davis J. McCarthy

    (2020)
    1301 Citations
  • Producing polished prokaryotic pangenomes with the Panaroo pipeline

    Gerry Tonkin-Hill;Gerry Tonkin-Hill;Neil MacAlasdair;Neil MacAlasdair;Christopher Ruis;Christopher Ruis;Aaron Weimann

    (2020)
    1219 Citations
  • Automated assembly scaffolding using RagTag elevates a new tomato system for high-throughput genome editing

    Unknown

    (2022)
    939 Citations
  • MOFA+: a statistical framework for comprehensive integration of multi-modal single-cell data

    Ricard Argelaguet;Damien Arnol;Danila Bredikhin;Yonatan Deloro

    (2020)
    533 Citations
  • Systematic assessment of tissue dissociation and storage biases in single-cell and single-nucleus RNA-seq workflows

    Elena Denisenko;Belinda B. Guo;Matthew Jones;Rui Hou

    (2020)
    469 Citations
  • JBrowse 2: a modular genome browser with views of synteny and structural variation

    (2023)
    445 Citations
  • Single-cell proteomic and transcriptomic analysis of macrophage heterogeneity using SCoPE2

    Harrison Specht;Edward Emmott;Edward Emmott;Aleksandra A. Petelski;R. Gray Huffman

    (2021)
    397 Citations
  • scRNA-seq assessment of the human lung, spleen, and esophagus tissue stability after cold preservation

    E. Madissoon;E. Madissoon;A. Wilbrey-Clark;R. J. Miragaia;K. Saeb-Parsy

    (2020)
    371 Citations

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