BMC Bioinformatics

12.0k papers and 517.5k indexed citations i.

About

The 12.0k papers published in BMC Bioinformatics in the last decades have received a total of 517.5k indexed citations. Papers published in BMC Bioinformatics usually cover Molecular Biology (10.5k papers), Genetics (1.8k papers) and Artificial Intelligence (1.3k papers) specifically the topics of Bioinformatics and Genomic Networks (3.0k papers), Genomics and Phylogenetic Studies (2.9k papers) and Gene expression and cancer classification (2.8k papers). The most active scholars publishing in BMC Bioinformatics are Steve Horvath, Peter Langfelder, Bo Li, Colin N. Dewey, R. C. Edgar, Yang Zhang, Robert Castelo, Justin Guinney, Sonja Hänzelmann and Thomas Madden.

In The Last Decade

Fields of papers published in BMC Bioinformatics

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in BMC Bioinformatics. 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 BMC Bioinformatics.

Countries where authors publish in BMC Bioinformatics

Since Specialization
Citations

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