Single-cell Transcriptomic Communication Analysis

Single-Cell Transcriptomic Communication Analysis is a computational framework that infers cell-cell communication networks by reconstructing ligand-receptor interaction profiles from single-cell RNA sequencing data to characterize intercellular signaling dynamics at single-cell resolution.

50

Publications

5.9K

Citations

446

Authors

146

Institutions

Publications per year

2017–2026

50

Authors

446

  1. LP
    Lihong Peng

    Hunan University of Technology, China

    3 publications · 180 citations

    3

    h-index

  2. AD
    Aurélien Dugourd

    Heidelberg University, Germany

    2 publications · 790 citations

    2

    h-index

  3. XC
    Xing Chen

    China University of Mining and Technology, China

    2 publications · 84 citations

    2

    h-index

  4. JT
    Jingwei Tan

    Hunan University of Technology, China

    2 publications · 140 citations

    2

    h-index

  5. JS
    Julio Sáez-Rodríguez

    Heidelberg University, Germany

    2 publications · 790 citations

    2

    h-index

1–5 of 446

Venues

  1. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 5 publications · 470 citations

    5

    h-index

  2. Nature Communications

    3 publications · 740 citations

    3

    h-index

  3. Bioinformatics

    3 publications · 122 citations

    3

    h-index

  4. Frontiers in Immunology

    3 publications · 117 citations

    3

    h-index

  5. Communications Biology

    2 publications · 67 citations

    2

    h-index

1–5