BioData Mining

11.6k citations
535 papers · · active since 1950

Impact in

Papers in

    • Bioinformatics and Genomic Networks 64
    • Gene expression and cancer classification 56
    • Biomedical Text Mining and Ontologies 19
    • Genomics and Phylogenetic Studies 17
    • Machine Learning in Bioinformatics 15
    • Gene Regulatory Network Analysis 11

BioData Mining

333 papers receiving 7.8k citations

Peers

BioData Mining
Comparison fields: 5 of 221
  • Health Informatics 264
  • Health Information Management 342
  • Molecular Biology 4.7k
  • Artificial Intelligence 1.9k
  • Genetics 1.3k
Replace Biochemia Medica with:
Biochemia Medica Croatia
Cancer Informatics United States
Journal of Biomedical Semantics United States
Wiley Interdisciplinary Reviews Computational Statistics United States
Research Synthesis Methods United Kingdom
JCO Clinical Cancer Informatics United States
Patterns United States
The R Journal United States
Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics Germany
The EPMA Journal Germany
BioData Mining relative to Biochemia Medica Croatia Biochemia Medica's profile →
Citations per field
00.5×1.5×1.8×
Biochemia Medica · 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 535 papers published in BioData Mining in the last decades have received a total of 11.6k indexed citations . Papers published in BioData Mining usually cover Health Informatics (10 papers), Molecular Biology (183 papers), Genetics (67 papers), Health Information Management (10 papers) and Computational Mathematics (1 paper) specifically the topics of Bioinformatics and Genomic Networks (64 papers), Genetic Associations and Epidemiology (56 papers), Gene expression and cancer classification (56 papers), Biomedical Text Mining and Ontologies (19 papers), Genomics and Phylogenetic Studies (17 papers), Machine Learning in Bioinformatics (15 papers), Computational Drug Discovery Methods (12 papers) and Gene Regulatory Network Analysis (11 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 Ryan J. Urbanowicz.

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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