Computer applications in the biosciences

1.4k papers and 110.4k indexed citations
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About

The 1.4k papers published in Computer applications in the biosciences in the last decades have received a total of 110.4k indexed citations. Papers published in Computer applications in the biosciences usually cover Molecular Biology (1.1k papers), Artificial Intelligence (196 papers) and Genetics (152 papers) specifically the topics of Genomics and Phylogenetic Studies (404 papers), RNA and protein synthesis mechanisms (356 papers) and Machine Learning in Bioinformatics (252 papers). The most active scholars publishing in Computer applications in the biosciences are Roderic Page, William R. Taylor, Janet M. Thornton, Spencer V. Muse, Kebin Liu, Desmond G. Higgins, Yves Van de Peer, Rupert De Wächter, Andrew Rambaut and Steven Maere.

In The Last Decade

Fields of papers published in Computer applications in the biosciences

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Computer applications in the 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 Computer applications in the biosciences.

Countries where authors publish in Computer applications in the biosciences

Since Specialization
Citations

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