Mathematical Biosciences

Aims & Scope

Mathematical Biosciences publishes work providing new concepts or new understanding of biological systems using mathematical models, or methodological articles likely to find application to multiple biological systems.

Papers are expected to present a major research finding of broad significance for the biological sciences, or mathematical biology.

Mathematical Biosciences welcomes original research articles, letters, reviews and perspectives.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	1.8
2024	1.90

SJR (SCImago Journal Rank)

Year	Value
2024	0.555

Quartile

Year	Value
2024	Q2

h-index

Year	Value
2024	114

Journal Rank

Year	Value
2024	10491

Journal Citation Indicator

Year	Value
2024	461

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science
• Medline
• Embase

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Agricultural and Biological Sciences, Biochemistry, Genetics and Molecular Biology, Immunology and Microbiology, Mathematics and Medicine, designed to support cutting-edge academic discovery.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Reproduction numbers and sub-threshold endemic equilibria for compartmental models of disease transmission

  Citation: 7385

  Authors: P., James

• Evolutionary stable strategies and game dynamics

  Citation: 2489

  Authors: Peter D., Leo B.

• Comparison of phylogenetic trees

  Citation: 2204

  Authors: D.F., L.R.

• A theory of cerebellar function

  Citation: 2036

  Authors: James S.

• A model of inexact reasoning in medicine

  Citation: 1013

  Authors: Edward H., Bruce G.

• A generalization of the Kermack-McKendrick deterministic epidemic model

  Citation: 991

  Authors: Vincenzo, Gabriella

• The main sequence, a tool for studying human eye movements

  Citation: 871

  Authors: A.Terry, Michael R., Lawrence

• Analysis of logistic growth models

  Citation: 765

  Authors: A., J.

• Dynamics of HIV infection of CD4+ T cells

  Citation: 744

  Authors: Alan S., Denise E., Rob

• On structural identifiability

  Citation: 701

  Authors: R., K.J.

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