Cell-cell Communication Inference

Cell-Cell Communication Inference is a computational method that identifies and reconstructs intercellular signaling interactions from high-throughput molecular data by integrating ligand-receptor co-expression, spatial proximity, and downstream pathway activation within tissue microenvironments.

76

Publications

19.2K

Citations

425

Authors

191

Institutions

Publications per year

2017–2026

72

Authors

425

  1. QN
    Qing Nie

    University of California, Irvine, United States

    11 publications · 10.9K citations

    11

    h-index

  2. SJ
    Suoqin Jin

    University of California, Irvine, United States

    6 publications · 10.3K citations

    6

    h-index

  3. MV
    Maksim V. Plikus

    University of California, Irvine, United States

    5 publications · 10.5K citations

    5

    h-index

  4. DD
    Daniel Dimitrov

    Heidelberg University, Germany

    4 publications · 847 citations

    4

    h-index

  5. AD
    Aurélien Dugourd

    Heidelberg University, Germany

    4 publications · 847 citations

    4

    h-index

1–5 of 425

Venues

  1. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 16 publications · 1.2K citations

    13

    h-index

  2. Nature Communications

    9 publications · 9.9K citations

    9

    h-index

  3. Bioinformatics

    3 publications · 128 citations

    3

    h-index

  4. Cell Systems

    3 publications · 69 citations

    3

    h-index

  5. Briefings in Bioinformatics

    3 publications · 221 citations

    3

    h-index

1–5