BioData Mining

477 papers and 8.4k indexed citations i.

About

The 477 papers published in BioData Mining in the last decades have received a total of 8.4k indexed citations. Papers published in BioData Mining usually cover Molecular Biology (324 papers), Genetics (90 papers) and Artificial Intelligence (81 papers) specifically the topics of Bioinformatics and Genomic Networks (148 papers), Gene expression and cancer classification (128 papers) and Genetic Associations and Epidemiology (67 papers). The most active scholars publishing in BioData Mining are Davide Chicco, William B. Langdon, Jason H. Moore, Giuseppe Jurman, Niklas Tötsch, Reinhard Schneider, Georgios A. Pavlopoulos, Marylyn D. Ritchie, Dominik Heider and Scott Dudek.

In The Last Decade

Fields of papers published in BioData Mining

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in BioData Mining. 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 BioData Mining.

Countries where authors publish in BioData Mining

Since Specialization
Citations

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