Spatial Transcriptomics Communication Analysis

Spatial Transcriptomics Communication Analysis is a computational framework that integrates spatially resolved gene expression data with cell-cell communication inference methods to map and analyze ligand-receptor interactions within their native tissue architectures.

4

Publications

648

Citations

20

Authors

9

Institutions

Publications per year

2017–2026

4

Authors

20

  1. QN
    Qing Nie

    University of California, Irvine, United States

    2 publications · 513 citations

    2

    h-index

  2. MV
    Maksim V. Plikus

    University of California, Irvine, United States

    1 publications · 438 citations

    1

    h-index

  3. AR
    Adam R. Stabell

    University of California, Irvine, United States

    1 publications · 438 citations

    1

    h-index

  4. ZT
    Ziyang Tang

    Purdue University West Lafayette, United States

    1 publications · 74 citations

    1

    h-index

  5. YZ
    Yanxiang Zhao

    George Washington University, United States

    1 publications · 438 citations

    1

    h-index

1–5 of 20

Venues

  1. Nature Methods

    1 publications · 438 citations

    1

    h-index

  2. Nature Communications

    1 publications · 75 citations

    1

    h-index

  3. Bioinformatics

    1 publications · 61 citations

    1

    h-index

  4. Briefings in Bioinformatics

    1 publications · 74 citations

    1

    h-index

  5. Genome Research

    GR · 1 publications · 12 citations

1–5