Theoretical Biology and Medical Modelling

610 papers and 12.8k indexed citations i.

About

The 610 papers published in Theoretical Biology and Medical Modelling in the last decades have received a total of 12.8k indexed citations. Papers published in Theoretical Biology and Medical Modelling usually cover Molecular Biology (261 papers), Modeling and Simulation (85 papers) and Genetics (62 papers) specifically the topics of Gene Regulatory Network Analysis (63 papers), COVID-19 epidemiological studies (44 papers) and Mathematical Biology Tumor Growth (40 papers). The most active scholars publishing in Theoretical Biology and Medical Modelling are Germaine Cornélissen, Péter Buchwald, J Bíró, Hiroshi Nishiura, Michael C. Reed, Gary An, Steffen E. Eikenberry, Alexei Kurakin, James M. Whitacre and Jack A. Tuszyński.

In The Last Decade

Fields of papers published in Theoretical Biology and Medical Modelling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Theoretical Biology and Medical Modelling. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Theoretical Biology and Medical Modelling.

Countries where authors publish in Theoretical Biology and Medical Modelling

Since Specialization
Citations

This map shows the geographic impact of research published in Theoretical Biology and Medical Modelling. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by papers published in Theoretical Biology and Medical Modelling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Theoretical Biology and Medical Modelling more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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2025