Spatial Cell State Analysis

Spatial Cell State Analysis is a computational framework that characterizes the functional and phenotypic states of individual cells within their native tissue architectures by integrating spatially resolved molecular profiles with single-cell resolution data to reveal context-dependent cellular heterogeneity.

40

Publications

4K

Citations

281

Authors

127

Institutions

Publications per year

2017–2026

36

Authors

281

  1. FJ
    Fabian J. Theis

    Helmholtz Zentrum München, Germany

    3 publications · 91 citations

    3

    h-index

  2. GP
    Garry P. Nolan

    Stanford University, United States

    3 publications · 1.3K citations

    3

    h-index

  3. CM
    Christopher Mount

    Stanford University, United States

    2 publications · 327 citations

    2

    h-index

  4. MB
    Maria Brbić

    Stanford University, United States

    2 publications · 144 citations

    2

    h-index

  5. MN
    Mats Nilsson

    Science for Life Laboratory, Sweden

    2 publications · 685 citations

    2

    h-index

1–5 of 281

Venues

  1. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 6 publications · 207 citations

    6

    h-index

  2. Nature Communications

    3 publications · 357 citations

    6

    h-index

  3. Nature Methods

    6 publications · 298 citations

    6

    h-index

  4. Cell Systems

    2 publications · 43 citations

    3

    h-index

  5. Nature Biotechnology

    2 publications · 208 citations

    2

    h-index

1–5