Intercellular Signaling Network Analysis

Intercellular Signaling Network Analysis is a computational and systems biology approach that identifies, models, and characterizes the complex web of signaling interactions between cells by integrating molecular communication data to reconstruct the functional architecture of cell-cell signaling pathways within a tissue or organism.

14

Publications

9.3K

Citations

54

Authors

36

Institutions

Publications per year

2017–2026

10

Authors

54

  1. DS
    Denis Schapiro

    Harvard University, United States

    3 publications · 90 citations

    3

    h-index

  2. SJ
    Suoqin Jin

    University of California, Irvine, United States

    3 publications · 8.9K citations

    3

    h-index

  3. JS
    Julio Sáez-Rodríguez

    Heidelberg University, Germany

    2 publications · 38 citations

    2

    h-index

  4. AG
    Attila Gábor

    Heidelberg University, Germany

    2 publications · 38 citations

    2

    h-index

  5. CF
    Christian F. Guerrero‐Juarez

    University of California, Irvine, United States

    2 publications · 8.9K citations

    2

    h-index

1–5 of 54

Venues

  1. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 2 publications · 628 citations

    2

    h-index

  2. Current Biology

    1 publications · 111 citations

    1

    h-index

  3. Frontiers in Cardiovascular Medicine

    1 publications · 16 citations

    1

    h-index

  4. PLoS Computational Biology

    1 publications · 33 citations

    1

    h-index

  5. Computers in Biology and Medicine

    1 publications · 17 citations

    1

    h-index

1–5