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Biomedical Text Mining and Ontologies

TopicLeading institutions, researchers & key papers

Biomedical Text Mining and Ontologies is a topic indexed in ScholarIQ from OpenAlex.

What is known about Biomedical Text Mining and Ontologies?

ScholarIQrecord summary

This cluster of papers focuses on the development and application of biomedical ontologies, text mining, and natural language processing techniques to extract and integrate knowledge from biomedical literature. It encompasses topics such as gene annotation, disease integration, phenotype ontology, data integration, and the use of semantic web technologies in knowledge management.

How many works does Biomedical Text Mining and Ontologies have?

ScholarIQindexed works

Biomedical Text Mining and Ontologies has 159,946 works in the ScholarIQ index. The count is the OpenAlex total, not the number of papers listed on this page.

How many citations does Biomedical Text Mining and Ontologies have?

ScholarIQcitation count

Biomedical Text Mining and Ontologies has 737,102 citations in the OpenAlex counts ScholarIQ stores.

What is the OpenAlex record for Biomedical Text Mining and Ontologies?

ScholarIQopenalex

The OpenAlex for Biomedical Text Mining and Ontologies is on the source record.

Who are the most-cited researchers behind Biomedical Text Mining and Ontologies?

ScholarIQtop researchers by citations
1
David Moher · Meta-analysis and systematic reviews
1,551 works880,672 citations
2
Douglas G. Altman · Meta-analysis and systematic reviews
954 works850,975 citations
3
Rob Knight · Gut microbiota and health
1,788 works461,783 citations
4
Richard Durbin · Genomics and Phylogenetic Studies
467 works405,762 citations
5
Mark J. Daly · Genetic Associations and Epidemiology
1,233 works402,224 citations

Where is Biomedical Text Mining and Ontologies research published, and who funds it?

ScholarIQvenues & funding sources

TOP JOURNALS

No journal data available yet.

TOP FUNDERS

National Science Foundation—
NIH—
Wellcome Trust—
European Research Council—
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