Pathway Literature Mining

Pathway Literature Mining is a computational methodology within bioinformatics that systematically extracts and integrates pathway-related biological knowledge from scientific literature to support the annotation, reconstruction, and interpretation of molecular pathways.

47

Publications

2.9K

Citations

250

Authors

127

Institutions

Publications per year

2017–2026

13

Authors

250

  1. GN
    Goran Nenadić

    University of Manchester, United Kingdom

    2 publications · 32 citations

    2

    h-index

  2. SA
    Sophia Ananiadou

    University of Manchester, United Kingdom

    2 publications · 105 citations

    2

    h-index

  3. JS
    Jean‐Marc Schwartz

    University of Manchester, United Kingdom

    2 publications · 32 citations

    2

    h-index

  4. CT
    Chris T. Evelo

    Maastricht University, Netherlands

    2 publications · 77 citations

    2

    h-index

  5. DR
    Dietrich Rebholz‐Schuhmann

    European Bioinformatics Institute, United Kingdom

    2 publications · 99 citations

    2

    h-index

1–5 of 250

Venues

  1. BMC Systems Biology

    4 publications · 141 citations

    4

    h-index

  2. Bioinformatics

    4 publications · 634 citations

    4

    h-index

  3. Scientific Reports

    3 publications · 72 citations

    3

    h-index

  4. Database

    2 publications · 92 citations

    2

    h-index

  5. OMICS A Journal of Integrative Biology

    2 publications · 25 citations

    2

    h-index

1–5