Single-cell Spatial Integration

Single-Cell Spatial Integration is a computational framework that jointly analyzes single-cell resolution molecular profiles with spatially resolved tissue architectures to map gene expression dynamics within their native anatomical contexts.

25

Publications

4K

Citations

268

Authors

87

Institutions

Publications per year

2017–2026

22

Authors

268

  1. MB
    Michael Borja

    Chan Zuckerberg Initiative (United States), United States

    2 publications · 115 citations

    2

    h-index

  2. JH
    Jiang He

    University of Massachusetts Chan Medical School, United States

    2 publications · 115 citations

    2

    h-index

  3. KA
    Kyle Awayan

    Chan Zuckerberg Initiative (United States), United States

    2 publications · 115 citations

    2

    h-index

  4. VT
    Vanessa Tran

    University of California, San Francisco, United States

    2 publications · 115 citations

    2

    h-index

  5. BW
    Bruce Wang

    University of California, San Francisco, United States

    2 publications · 115 citations

    2

    h-index

1–5 of 268

Venues

  1. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 6 publications · 206 citations

    6

    h-index

  2. Nature Communications

    2 publications · 346 citations

    2

    h-index

  3. Nature Methods

    2 publications · 322 citations

    2

    h-index

  4. Nature Biotechnology

    1 publications · 102 citations

    1

    h-index

  5. Nature Genetics

    1 publications · 103 citations

    1

    h-index

1–5