Statistics in Biosciences is a peer-reviewed journal dedicated to the development and application of statistical methods in quantitative biosciences. Emphasizes areas such as health/life sciences, biomarkers and precision medicine, and neuroimaging statistics. Publishes original articles, case studies, practice articles, and review articles across four sections. Encourages articles that promote evidence-based real-world practice and policymaking. Facilitates effective communication between statisticians, quantitative researchers, and subject-matter scientists.
⚡ Speed vs Prestige
How does this journal balance review speed with impact level?
Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.
Publication & Citation Trend
Articles published
Times cited
2019
2020
2021
2022
2023
2024
2025
2026
Source: OpenAlex · Note: citations accumulate over time so older years appear higher
SJR Quartile by Discipline
Scimago ranks this journal separately in each subject category — its quartile can differ by discipline.
Biochemistry, Genetics and Molecular Biology (miscellaneous)Q3
Statistics and ProbabilityQ3
Subject Classification
Web of Science Categories
Mathematical & Computational Biology
Scopus Categories
Biochemistry, Genetics and Molecular Biology (miscellaneous)Statistics and Probability
Research Topics (OpenAlex)
Statistical Methods and InferenceStatistical Methods in Clinical TrialsStatistical Methods and Bayesian InferenceAdvanced Causal Inference TechniquesGene expression and cancer classificationHealth Systems, Economic Evaluations, Quality of LifeOptimal Experimental Design MethodsBioinformatics and Genomic NetworksBayesian Methods and Mixture ModelsGenetic Associations and Epidemiology