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

Authors

1.7K

  1. MS
    Min Song

    Yonsei University, South Korea

    7 publications · 179 citations

    7

    h-index

  2. SA
    Sophia Ananiadou

    University of Manchester, United Kingdom

    5 publications · 301 citations

    5

    h-index

  3. TC
    Thomas C. Rindflesch

    United States National Library of Medicine, United States

    5 publications · 1.1K citations

    5

    h-index

  4. RB
    Russ B. Altman

    Stanford University, United States

    5 publications · 326 citations

    5

    h-index

  5. HY
    Hong Yu

    University of Massachusetts Amherst, United States

    5 publications · 254 citations

    5

    h-index

1–5 of 1.7K

Venues

  1. Bioinformatics

    25 publications · 2K citations

    21

    h-index

  2. BMC Bioinformatics

    31 publications · 1.7K citations

    20

    h-index

  3. Nucleic Acids Research

    15 publications · 4.2K citations

    14

    h-index

  4. Journal of Biomedical Informatics

    15 publications · 1.9K citations

    14

    h-index

  5. Database

    13 publications · 763 citations

    12

    h-index

1–5