Biomedical Text Mining
Biomedical text mining is a subfield of text mining that applies natural language processing and computational methods to the automated extraction and normalization of biological and medical information from biomedical literature and documents.
5.4K
Publications
290.5K
Citations
16.1K
Authors
3.3K
Institutions
Publications per year
2017–2026
2.5K
5.4K
miRBase: from microRNA sequences to function
Ana Kozomara, Maria Birgaoanu, Sam Griffiths‐Jones · Nucleic Acids Research · 2018 · 4.9K citations · Full text
1–5 of 5.4K
16.1K
National Center for Biotechnology Information, United States
101 publications · 12.1K citations
54
h-index
37
h-index
The University of Texas Health Science Center at Houston, United States
63 publications · 3.8K citations
34
h-index
33
h-index
30
h-index
1–5 of 16.1K
3.3K
National Center for Biotechnology Information
Bethesda, United States
71 h-index
552 publications
61.8K citations
National Institutes of Health
Bethesda, United States
61 h-index
594 publications
53.8K citations

University of Manchester
Manchester, United Kingdom
52 h-index
387 publications
37.5K citations
Stanford University
Stanford, United States
51 h-index
378 publications
32.9K citations
Columbia University
New York, United States
45 h-index
207 publications
13.9K citations
Harvard University
Cambridge, United States
42 h-index
277 publications
18.2K citations
The University of Tokyo
Tokyo, Japan
40 h-index
212 publications
19.6K citations

United States National Library of Medicine
Bethesda, United States
40 h-index
246 publications
19.6K citations
1–8 of 3.3K
230 publications · 29.7K citations
87
h-index
318 publications · 20.1K citations
74
h-index
JAMIA · 183 publications · 14.6K citations
64
h-index
266 publications · 17.2K citations
64
h-index
Repository · 287 publications · 11.7K citations
54
h-index
1–5