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PLoS Genetics
H-index 62

PLoS Genetics

1553-7390

Published by: PLOS

https://journals.plos.org/plosgenetics/

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Genetics 8 654 689 52
Biology and Biochemistry 68 580 608 49

Additional Metrics

Number of Best Scientists*: 2028
Documents by Best Scientists*: 1462
Top 100 Ranked Scientists*: 101
SCIMAGO H-index: 282
SCIMAGO SJR: 1.945
Impact Factor: 3.7

Overview

Top Research Topics at PLOS Genetics?

PLOS Genetics focuses on Genetics, Cell biology, Gene, Regulation of gene expression and Molecular biology. As a part of it, discussions in Genetics involve topics like Genome, Genome-wide association study, Allele, Single-nucleotide polymorphism and Phenotype. PLOS Genetics concentrates on Genome topics that focus on Genomics and Genome evolution.

Topics in Genome-wide association study were tackled in line with various other fields like Quantitative trait locus, Genetic association and Locus (genetics). The concepts on Cell biology presented in it can also apply to other research fields, including Transcription factor, Mutant, Cellular differentiation and Caenorhabditis elegans. Mutation is the primary subject of Gene works presented in the journal.

PLOS Genetics addresses concerns in Regulation of gene expression which are intertwined with other disciplines, such as Chromatin and Gene expression, Transcriptional regulation.

  • Genetics (48.17%)
  • Cell biology (30.84%)
  • Gene (18.20%)

What are the most cited papers published in the journal?

  • Population structure and eigenanalysis (3402 citations)
  • A flexible and accurate genotype imputation method for the next generation of genome-wide association studies. (3147 citations)
  • Genome-wide association scan shows genetic variants in the FTO gene are associated with obesity-related traits. (1379 citations)

Research areas of the most cited articles at PLOS Genetics:

The most cited publications cover a variety of subjects, including Genetics, Gene, Genome-wide association study, Genome and Regulation of gene expression. Topics like Single-nucleotide polymorphism, Allele, Genomics, Genetic variation and Quantitative trait locus are tackled as part of the discussions on Genetics in the most cited articles. The published papers explore research in Regulation of gene expression alongside concepts in Cell biology and other areas of study in Cellular differentiation and Molecular biology.

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

  • Gene
  • Mutation
  • Enzyme

The previous edition focused in particular on these issues:

The aim of PLOS Genetics is to expand the discussion of research in Cell biology, Gene, Genetics, Gene expression and Evolutionary biology. Drosophila melanogaster, Transcription factor, Mutant, Regulation of gene expression and Transcription (biology) are some topics wherein Cell biology research discussed in the journal have an impact. The close relationship between Transcriptional regulation and Promoter is one of the points of interest dissected in Regulation of gene expression research.

The study on Gene presented in it intersects with subjects under the field of Computational biology. The journal primarily discusses Genetics topics, particularly Allele, Genome-wide association study and Haplotype. It links adjacent topics like Genome-wide association study with Locus (genetics).

The most cited articles from the last journal are:

  • Regulating the expression of gene drives is key to increasing their invasive potential and the mitigation of resistance (17 citations)
  • Evaluation of polygenic prediction methodology within a reference-standardized framework (13 citations)
  • Genetic variation affects morphological retinal phenotypes extracted from UK Biobank optical coherence tomography images (11 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 PLOS Genetics (based on the number of publications) are:

  • André G. Uitterlinden (44 papers) absent at the last edition,
  • Jane Gitschier (44 papers) absent at the last edition,
  • Albert Hofman (42 papers) absent at the last edition,
  • Tim D. Spector (42 papers) absent at the last edition,
  • Mark I. McCarthy (37 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 PLOS Genetics (based on the number of publications) are:

  • Harvard University (511 papers) published 18 papers at the last edition, 2 less than at the previous edition,
  • National Institutes of Health (427 papers) published 11 papers at the last edition, 9 less than at the previous edition,
  • Stanford University (303 papers) published 13 papers at the last edition, 1 less than at the previous edition,
  • Max Planck Society (290 papers) published 15 papers at the last edition, 1 more than at the previous edition,
  • University of California, San Francisco (282 papers) published 5 papers at the last edition, 6 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, 1.47% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 17.02% were posted by at least one author from the top 10 institutions publishing in the journal. Another 14.47% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 18.94% of all publications and 49.57% 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

  • Mixed methods

    (2020)
    545 Citations
  • Eliciting priors and relaxing the single causal variant assumption in colocalisation analyses.

    Chris Wallace

    (2020)
    302 Citations
  • A more accurate method for colocalisation analysis allowing for multiple causal variants.

    Chris Wallace

    (2021)
    289 Citations
  • Fine-mapping from summary data with the “Sum of Single Effects” model

    (2021)
    284 Citations
  • Novel loci for childhood body mass index and shared heritability with adult cardiometabolic traits.

    Suzanne Vogelezang;Suzanne Vogelezang;Jonathan P Bradfield;Tarunveer S Ahluwalia;John A Curtin

    (2020)
    224 Citations
  • Phylogenetic background and habitat drive the genetic diversification of Escherichia coli

    Marie Touchon;Amandine Perrin;Amandine Perrin;Jorge Andre Moura de Sousa;Belinda Vangchhia;Belinda Vangchhia

    (2020)
    220 Citations
  • Osteocalcin is necessary for the alignment of apatite crystallites, but not glucose metabolism, testosterone synthesis, or muscle mass

    Takeshi Moriishi;Ryosuke Ozasa;Takuya Ishimoto;Takayoshi Nakano

    (2020)
    213 Citations
  • Beyond SNP heritability: Polygenicity and discoverability of phenotypes estimated with a univariate Gaussian mixture model.

    Dominic Holland;Oleksandr Frei;Rahul S. Desikan;Chun-Chieh Fan

    (2020)
    159 Citations
  • Genotype imputation using the Positional Burrows Wheeler Transform

    Simone Rubinacci;Simone Rubinacci;Olivier Delaneau;Olivier Delaneau;Jonathan Marchini

    (2020)
    153 Citations

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