Network-based Immunity Models

Network-Based Immunity Models is a computational framework that represents immune system components and their interactions as nodes and edges within a network to capture the dynamic, systemic behavior of immune responses through the analysis of topological and functional relationships among immunological elements.

69

Publications

6.8K

Citations

228

Authors

133

Institutions

Publications per year

2017–2026

12

Authors

228

  1. GW
    Geoffrey W. Hoffmann

    University of British Columbia, Canada

    4 publications · 249 citations

    4

    h-index

  2. AC
    António Coutinho

    Institut Pasteur, France

    4 publications · 151 citations

    4

    h-index

  3. JS
    John Stewart

    University of Utah, United States

    3 publications · 123 citations

    3

    h-index

  4. AU
    Avidan U. Neumann

    Bar-Ilan University, Israel

    2 publications · 60 citations

    2

    h-index

  5. JF
    José Faro

    Instituto Gulbenkian de Ciência, Portugal

    2 publications · 59 citations

    2

    h-index

1–5 of 228

Venues

  1. Journal of Theoretical Biology

    9 publications · 303 citations

    9

    h-index

  2. Applied Soft Computing

    2 publications · 409 citations

    2

    h-index

  3. Bulletin of Mathematical Biology

    2 publications · 60 citations

    2

    h-index

  4. Biosystems

    2 publications · 82 citations

    2

    h-index

  5. Trends in Immunology

    2 publications · 81 citations

    2

    h-index

1–5