Journal of the Royal Society Interface
Published by Royal Society Publishing
ISSN : 1742-5689 eISSN : 1742-5662
Abbreviation : J. R. Soc. Interface
Aims & Scope
J.
R.
Soc.
Interface welcomes articles of high quality research at the interface of the physical and life sciences.
It provides a high-quality forum to publish rapidly and interact across this boundary in two main ways: J.
R.
Soc.
Interface publishes research applying chemistry, engineering, materials science, mathematics and physics to the biological and medical sciences; it also highlights discoveries in the life sciences of relevance to the physical sciences.
Both sides of the interface are considered equally and it is one of the only journals to cover this exciting new territory.
J.
R.
Soc.
Interface welcomes contributions on a diverse range of topics, including but not limited to; biocomplexity, bioengineering, bioinformatics, biomaterials, biomechanics, bionanoscience, biophysics, chemical biology, computer science (as applied to the life sciences), medical physics, synthetic biology, systems biology, theoretical biology and tissue engineering.
View Aims & ScopeMetrics & Ranking
Impact Factor
| Year | Value |
|---|---|
| 2025 | 3.5 |
| 2024 | 3.70 |
Journal Rank
| Year | Value |
|---|---|
| 2024 | 4627 |
Journal Citation Indicator
| Year | Value |
|---|---|
| 2024 | 2813 |
SJR (SCImago Journal Rank)
| Year | Value |
|---|---|
| 2024 | 1.025 |
Quartile
| Year | Value |
|---|---|
| 2024 | Q1 |
h-index
| Year | Value |
|---|---|
| 2024 | 177 |
Impact Factor Trend
Abstracting & Indexing
Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.
Subjects & Keywords
Journal’s research areas, covering key disciplines and specialized sub-topics in Biochemistry, Genetics and Molecular Biology, Chemical Engineering, Engineering and Materials Science, designed to support cutting-edge academic discovery.
Licensing & Copyright
This journal operates under an Open Access model. Articles are freely accessible to the public immediately upon publication. The content is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), allowing users to share and adapt the work with proper attribution.
Copyright remains with the author(s), and no permission is required for non-commercial use, provided the original source is cited.
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.
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The coefficient of determination<i>R</i><sup>2</sup>and intra-class correlation coefficient from generalized linear mixed-effects models revisited and expanded
Citation: 2135
Authors: Shinichi, Paul C. D., Holger
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Hyperelastic modelling of arterial layers with distributed collagen fibre orientations
Citation: 2004
Authors: T. Christian, Ray W, Gerhard A
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Opportunities and obstacles for deep learning in biology and medicine
Citation: 1664
Authors: Travers, Daniel S., Brett K., Alexandr A., Brian T., Gregory P., Enrico, Paul-Michael, Michael, Michael M., Wei, Gail L., Benjamin J., Johnny, Jack, Stephen, Anne E., Avanti, Jinbo, Evan M., Christopher A., Srinivas C., Amr M., Zhiyong, David J., Dave, Yanjun, Anshul, Yifan, Laura K., Marwin H. S., Simina M., S. Joshua, Austin, Anthony, Casey S.
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The construction of next-generation matrices for compartmental epidemic models
Citation: 1551
Authors: O., J. A. P., M. G.
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Evolutionary dynamics of group interactions on structured populations: a review
Citation: 1181
Authors: Matjaž, Jesús, Attila, Luis M., Yamir
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Approximate Bayesian computation scheme for parameter inference and model selection in dynamical systems
Citation: 1170
Authors: Tina, David, Natalja, Andreas, Michael P.H
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Growth factor delivery-based tissue engineering: general approaches and a review of recent developments
Citation: 1163
Authors: Kangwon, Eduardo A., David J.