Biomedical Entity Linking
Biomedical Entity Linking is a natural language processing task in biomedical text mining that maps textual mentions of biomedical entities (e.g., diseases, drugs, genes) in unstructured documents to their corresponding normalized, unique identifiers in structured biomedical ontologies or knowledge bases.
357
Publications
22.6K
Citations
1.7K
Authors
587
Institutions
Publications per year
2017–2026
162
Variants
Biomedical Entity Normalization
Parents
357
The Comparative Toxicogenomics Database: update 2019
Allan Peter Davis, Cynthia Grondin, Robin J. Johnson et al. · Nucleic Acids Research · 2018 · 1.1K citations · Full text
Pharmacy, Bioinformatics, Toxicology +17
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
1–5 of 357
1.7K
7
h-index
5
h-index
United States National Library of Medicine, United States
5 publications · 1.1K citations
5
h-index
5
h-index
5
h-index
1–5 of 1.7K
587
Stanford University
Stanford, United States
17 h-index
57 publications
2.9K citations

European Bioinformatics Institute
Cambridge, United Kingdom
11 h-index
64 publications
6K citations

University of Manchester
Manchester, United Kingdom
11 h-index
21 publications
2.1K citations
National Institutes of Health
Bethesda, United States
11 h-index
44 publications
5K citations
National Center for Biotechnology Information
Bethesda, United States
10 h-index
44 publications
4K citations
Dalian University of Technology
Dalian, China
9 h-index
30 publications
2.3K citations
Wellcome Trust
London, United Kingdom
9 h-index
55 publications
5.8K citations
University of Cambridge
Cambridge, United Kingdom
7 h-index
17 publications
1.9K citations
1–8 of 587
25 publications · 2K citations
21
h-index
31 publications · 1.7K citations
20
h-index
15 publications · 4.2K citations
14
h-index
15 publications · 1.9K citations
14
h-index
13 publications · 763 citations
12
h-index
1–5