Biomedical Text Mining and Ontologies
This research sub-field focuses on the application of text mining techniques to extract meaningful insights from biomedical literature. It also involves the development and utilization of ontologies to standardize and integrate knowledge across various biomedical datasets, facilitating better data sharing and interpretation in the life sciences.
107,106 papers
Parent topic: Biomedical Informatics
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Sub-topics
Papers Over Time
Top Papers
2004 · 4,091 citations
2010 · 2,120 citations
2007 · 1,797 citations
1958 · 1,746 citations
2008 · 1,648 citations
2000 · 1,637 citations
2003 · 1,633 citations
1965 · 1,098 citations
2004 · 1,070 citations
2013 · 910 citations
2014 · 902 citations
2020 · 842 citations
2001 · 807 citations
2011 · 776 citations
2014 · 752 citations
2005 · 703 citations
2003 · 692 citations
2010 · 678 citations
2016 · 664 citations