BioData Mining

10.1k citations
516 papers · indexed · active since 1950

BioData Mining

473 papers receiving 9.7k citations

Peers

BioData Mining
Comparison fields: 5 of 218
  • Health Informatics 111
  • Health Information Management 361
  • Molecular Biology 4.8k
  • Artificial Intelligence 1.7k
  • Genetics 1.4k
Replace Cancer Informatics with:
Cancer Informatics United States
Journal of Biomedical Semantics United States
Wiley Interdisciplinary Reviews Computational Statistics United States
The R Journal United States
Biochemia Medica Croatia
Research Synthesis Methods United Kingdom
Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics Germany
The EPMA Journal Germany
Critical Reviews in Clinical Laboratory Sciences United States
IET Systems Biology China
BioData Mining relative to Cancer Informatics United States Cancer Informatics's profile →
Citations per field
00.5×3.8×
Cancer Informatics · 1×
Citations per year

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).

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.

About BioData Mining

The 516 papers published in BioData Mining in the last decades have received a total of 10.1k indexed citations . Papers published in BioData Mining usually cover Health Informatics (10 papers), Health Information Management (24 papers), Molecular Biology (335 papers), Genetics (97 papers) and Artificial Intelligence (90 papers) specifically the topics of Bioinformatics and Genomic Networks (152 papers), Gene expression and cancer classification (130 papers), Genetic Associations and Epidemiology (70 papers), Genomics and Phylogenetic Studies (48 papers), Machine Learning in Bioinformatics (39 papers), Biomedical Text Mining and Ontologies (33 papers), Genetic Mapping and Diversity in Plants and Animals (31 papers) and Metabolomics and Mass Spectrometry Studies (27 papers). The most active scholars publishing in BioData Mining are Davide Chicco, William B. Langdon, Giuseppe Jurman, Jason H. Moore, Niklas Tötsch, Georgios A. Pavlopoulos, Reinhard Schneider, Marylyn D. Ritchie, Dominik Heider and Scott Dudek.

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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