Cell-cell Communication Analysis

Cell-Cell Communication Analysis is a computational methodological framework within single-cell bioinformatics that identifies and characterizes signaling interactions between cells by inferring ligand-receptor co-expression patterns and spatial or contextual proximity from single-cell omics data.

254

Publications

31.3K

Citations

2K

Authors

565

Institutions

Publications per year

2017–2026

211

Authors

2K

  1. QN
    Qing Nie

    University of California, Irvine, United States

    14 publications · 11.5K citations

    13

    h-index

  2. SJ
    Suoqin Jin

    University of California, Irvine, United States

    7 publications · 10.4K citations

    7

    h-index

  3. JS
    Julio Sáez-Rodríguez

    Heidelberg University, Germany

    5 publications · 1.2K citations

    5

    h-index

  4. MV
    Maksim V. Plikus

    University of California, Irvine, United States

    5 publications · 10.5K citations

    5

    h-index

  5. MS
    Micha Sam Brickman Raredon

    Yale University, United States

    4 publications · 529 citations

    4

    h-index

1–5 of 2K

Venues

  1. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 26 publications · 1.8K citations

    18

    h-index

  2. Nature Communications

    14 publications · 10.5K citations

    14

    h-index

  3. Bioinformatics

    9 publications · 601 citations

    9

    h-index

  4. Nucleic Acids Research

    9 publications · 1.2K citations

    9

    h-index

  5. Frontiers in Immunology

    6 publications · 207 citations

    6

    h-index

1–5