Network Annotation

Network Annotation is a scholarly contribution in the form of a method, model, framework, theory, construct, dataset, task, or metric that enriches semantic network visualizations by formally associating meaningful metadata or interpretive labels with network elements to enhance their representational fidelity and analytical utility.

44

Publications

3.3K

Citations

318

Authors

145

Institutions

Publications per year

2017–2026

22

Authors

318

  1. PC
    Pieter C. Dorrestein

    University of California San Diego, United States

    5 publications · 795 citations

    5

    h-index

  2. AM
    Andrés Mauricio Caraballo‐Rodríguez

    University of California San Diego, United States

    3 publications · 714 citations

    3

    h-index

  3. RS
    Ricardo Silva

    University of California San Diego, United States

    3 publications · 453 citations

    3

    h-index

  4. MW
    Mingxun Wang

    University of California San Diego, United States

    3 publications · 714 citations

    3

    h-index

  5. LN
    Louis‐Félix Nothias

    University of California San Diego, United States

    3 publications · 714 citations

    3

    h-index

1–5 of 318

Venues

  1. Nucleic Acids Research

    4 publications · 424 citations

    4

    h-index

  2. Bioinformatics

    3 publications · 101 citations

    3

    h-index

  3. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 2 publications · 38 citations

    2

    h-index

  4. Analytical Chemistry

    2 publications · 313 citations

    2

    h-index

  5. Journal of Natural Products

    2 publications · 85 citations

    2

    h-index

1–5