Journal of Mathematical Biology

Aims & Scope

The Journal of Mathematical Biology focuses on mathematical biology - work that uses mathematical approaches to gain biological understanding or explain biological phenomena.

Papers should either provide biological insight as a result of mathematical analysis or identify and open up challenging new types of mathematical problems that derive from biological knowledge (in the form of data, or theory, or simulation results).

Mathematical ideas, methods, techniques and results are welcome, provided they show sufficient potential for usefulness in a biological context.

Authors are encouraged to include a brief summarising discussion of the main results to make them accessible to readers with biology background.

Areas of biology covered include, but are not restricted to, cell biology, physiology, development, neurobiology, genetics and population genetics, population biology, ecology, behavioural biology, evolution, epidemiology, immunology, molecular biology, biofluids, DNA and protein structure and function.

All mathematical approaches including computational and visualization approaches are appropriate.

State-of-the-art survey papers, including prospective discussion or speculation, are particularly welcome.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	2.3
2024	2.20

SJR (SCImago Journal Rank)

Year	Value
2024	0.921

Quartile

Year	Value
2024	Q1

h-index

Year	Value
2024	111

Journal Rank

Year	Value
2024	5509

Journal Citation Indicator

Year	Value
2024	1064

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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

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Agricultural and Biological Sciences and Mathematics, 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.

• On the definition and the computation of the basic reproduction ratio R 0 in models for infectious diseases in heterogeneous populations

  Citation: 3733

  Authors: O., J.A.P., J.A.J.

• Simplified neuron model as a principal component analyzer

  Citation: 1778

  Authors: Erkki

• A user’s guide to PDE models for chemotaxis

  Citation: 1273

  Authors: T., K. J.

• The dynamical theory of coevolution: a derivation from stochastic ecological processes

  Citation: 945

  Authors: Ulf, Richard

• Modeling immunotherapy of the tumor - immune interaction

  Citation: 725

  Authors: Denise, John Carl

• Influence of nonlinear incidence rates upon the behavior of SIRS epidemiological models

  Citation: 688

  Authors: Wei-min, Simon A., Yoh

• Models of dispersal in biological systems

  Citation: 681

  Authors: H. G., S. R., W.

• Dynamical behavior of epidemiological models with nonlinear incidence rates

  Citation: 616

  Authors: Wei-min, Herbert W., Simon A.

• Modelling the fear effect in predator–prey interactions

  Citation: 556

  Authors: Xiaoying, Liana, Xingfu

• Convergence results and a Poincar�-Bendixson trichotomy for asymptotically autonomous differential equations

  Citation: 536

  Authors: HorstR.

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