Theory in Biosciences

601 papers and 8.3k indexed citations i.

About

The 601 papers published in Theory in Biosciences in the last decades have received a total of 8.3k indexed citations. Papers published in Theory in Biosciences usually cover Molecular Biology (187 papers), Genetics (150 papers) and Sociology and Political Science (94 papers) specifically the topics of Evolution and Genetic Dynamics (102 papers), Evolutionary Game Theory and Cooperation (85 papers) and Philosophy and History of Science (70 papers). The most active scholars publishing in Theory in Biosciences are Günter P. Wagner, Koryu Kin, Vincent J. Lynch, U. Kutschera, Michael I. Coates, Jürgen Jost, Günter Theißen, Shigeru Kuratani, Alan C. Love and Uwe Hoßfeld.

In The Last Decade

Fields of papers published in Theory in Biosciences

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Theory in Biosciences. 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 Theory in Biosciences.

Countries where authors publish in Theory in Biosciences

Since Specialization
Citations

This map shows the geographic impact of research published in Theory in Biosciences. 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 Theory in Biosciences with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Theory in Biosciences 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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