PLOS Computational Biology

SJR Rank #2,536H-index: 237SJR: 1.466Best quartile: Q1Open AccessAPC: US$3,043Listed in DOAJ
Journal website: aims, scope and author guidelines
Publisher

Public Library of Science

Country

United States

Type

journal

SJR by Edition

2022202500.511.52

Subject Categories

  • Computational Theory and MathematicsQ1
  • EcologyQ1
  • Ecology, Evolution, Behavior and SystematicsQ1
  • GeneticsQ1
  • Modeling and SimulationQ1
  • Molecular BiologyQ1
  • Cellular and Molecular NeuroscienceQ2

Areas: Agricultural and Biological Sciences · Biochemistry, Genetics and Molecular Biology · Computer Science · Environmental Science · Mathematics · Neuroscience

Most published research topics

Neural dynamics and brain functionBioinformatics and Genomic NetworksGene Regulatory Network AnalysisProtein Structure and DynamicsGenomics and Phylogenetic StudiesRNA and protein synthesis mechanismsEvolution and Genetic DynamicsMicrobial Metabolic Engineering and BioproductionGene expression and cancer classificationGenomics and Chromatin Dynamics

Source: OpenAlex

Publication Statistics

2025 Docs3-Year DocsCitable Docs0600120018002400

Documents per Year

2022202502505007501000

Detailed Information

ISSN

1553-7358, 1553-734X

SJR Best Quartile

Q1

Region

Northern America

Citations per Document (2 years)

3.50

References per Document

60.46

Coverage

2005-2026

Scope

PLOS Computational Biology features works of exceptional significance that further our understanding of living systems at all scales—from molecules and cells, to patient populations and ecosystems—through the application of computational methods. Readers include life and computational scientists, who can take the important findings presented here to the next level of discovery. Research articles must be declared as belonging to a relevant section. More information about the sections can be found in the submission guidelines. Research articles should model aspects of biological systems, demonstrate both methodological and scientific novelty, and provide profound new biological insights. Generally, reliability and significance of biological discovery through computation should be validated and enriched by experimental studies. Inclusion of experimental validation is not required for publication, but should be referenced where possible. Inclusion of experimental validation of a modest biological discovery through computation does not render a manuscript suitable for PLOS Computational Biology. Research articles specifically designated as Methods papers should describe outstanding methods of exceptional importance that have been shown, or have the promise to provide new biological insights. The method must already be widely adopted, or have the promise of wide adoption by a broad community of users. Enhancements to existing published methods will only be considered if those enhancements bring exceptional new capabilities.

Metrics from SCImago Journal Rank 2025. View on SCImago