PLOS Computational Biology
Public Library of Science
United States
journal
SJR by Edition
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
Source: OpenAlex
Publication Statistics
Documents per Year
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