Biomedical Data Integration
Biomedical Data Integration is the systematic process of combining heterogeneous biomedical data from diverse sources, formats, and scales into a unified framework to enable consistent analysis, interpretation, and application in translational research.
447
Publications
23.7K
Citations
2.6K
Authors
966
Institutions
Publications per year
2017–2026
178
Parents
447
Disease Ontology: a backbone for disease semantic integration
Lynn M. Schriml, Cesar Arze, Suvarna Nadendla et al. · Nucleic Acids Research · 2011 · 970 citations · Full text
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Stanford University
Stanford, United States
21 h-index
81 publications
7.7K citations
Harvard University
Cambridge, United States
18 h-index
45 publications
2.5K citations
University of California San Diego
San Diego, United States
14 h-index
47 publications
2.1K citations
Massachusetts General Hospital
Boston, United States
12 h-index
27 publications
1.6K citations
University of Oxford
Oxford, United Kingdom
11 h-index
20 publications
1.1K citations

European Bioinformatics Institute
Cambridge, United Kingdom
10 h-index
52 publications
10.3K citations
University of Washington
Seattle, United States
10 h-index
21 publications
3.1K citations
National Institutes of Health
Bethesda, United States
10 h-index
15 publications
1.4K citations
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28 publications · 1.6K citations
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JAMIA · 20 publications · 1.1K citations
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Repository · 25 publications · 1.2K citations
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13 publications · 758 citations
13
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11 publications · 363 citations
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