PLoS Computational Biology
Leading citation impact metric from Clarivate Journal Citation Reports
papers with at least that number of citations each
State Council for Professorship (HĐGSNN) Scoring
Quyết định số 26/QĐ-HĐGSNN ngày 11/7/2025 (Mục quốc tế)
HĐGSNN Score History
By article publication year| Year | Max Score | Evaluation Details | Source |
|---|---|---|---|
| 2026 | 2.50đ | WoS Q1 có IF ≥ 3.0(IF: 3.7) | 🔵 Computed |
| 2025 | 2.50đ | WoS Q1 có IF ≥ 3.0(IF: 3.6) | 🔵 Computed |
| 2023 | 2.50đ | WoS Q1 có IF ≥ 3.0(IF: 4.3) | 🔵 Computed |
| 2021 | 2.50đ | WoS Q1 có IF ≥ 3.0(IF: 4.475) | 🔵 Computed |
Note: Domestic journal scores are officially collected from annual HĐGSNN decisions across councils. International journal scores are dynamically computed according to Decision 26/QĐ-HĐGSNN based on quartile and citation metrics in the publication year.
Aims & 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.
SCImago & Scopus Journal Intelligence
Not indexed in SCImago / Scopus databaseThis journal is currently not indexed in Scopus or is an academic publication indexed exclusively in Web of Science (WoS).
Chinese Academy of Sciences (CAS) Classification
Major / minor zone classification and CAS Early Warning List history
Publishing & Editorial Information
Detailed publisher, peer-review turnaround, and publication cycle specifications
WoS Categories & Quartiles
Detailed JCR / JCI category rankings and quartile breakdown from Clarivate
| Category | Index | Rank | Quartile |
|---|---|---|---|
BIOCHEMICAL RESEARCH METHODS | JCRSCIE | 27/85 | Q2 |
MATHEMATICAL & COMPUTATIONAL BIOLOGY | JCRSCIE | 12/67 | Q1 |
BIOCHEMICAL RESEARCH METHODS | JCISCIE | 19/85 | Q1 |
MATHEMATICAL & COMPUTATIONAL BIOLOGY | JCISCIE | 10/67 | Q1 |
Annual Historical Statistics & Publications
Track annual publication volume, total citations, and Impact Factor evolution
| Year | Impact Factor | Articles / Year | Total Citations |
|---|---|---|---|
| 2026 | — | 733 | 345 |
| 2025 | 3.6 | 895 | 2,892 |
| 2024 | — | 756 | 6,976 |
| 2023 | 4.3 | 722 | 10,900 |
| 2022 | — | 911 | 19,925 |
| 2021 | 4.475 | 1,029 | 31,577 |
| 2020 | — | 773 | 29,110 |
| 2019 | — | 713 | 35,781 |
| 2018 | — | 585 | 34,139 |
| 2017 | — | 638 | 52,788 |
| 2016 | — | 609 | 39,114 |
| 2015 | — | 646 | 48,484 |
Journal Metrics & Citation Visualizations
Impact Factor Trend (2018–2024)
Clarivate IF trend for PLoS Computational Biology
Total Cites vs Self-Cites
Evaluation of scholarly independence and citation reach
Citations per Document
Citation metric windows across 2, 3, and 4 years
Similar Journals in Discipline
Journals in the same research field with comparable impact metrics