Spatial Transcriptomics Integration

Spatial Transcriptomics Integration is a computational framework that combines spatially resolved transcriptomic data with complementary molecular or imaging datasets to reconstruct gene expression landscapes within their native tissue architectures, thereby enabling the contextual interpretation of transcriptional activity at cellular or subcellular resolution.

142

Publications

16.2K

Citations

1.4K

Authors

474

Institutions

Publications per year

2017–2026

141

Authors

1.4K

  1. JL
    Joakim Lundeberg

    KTH Royal Institute of Technology, Sweden

    8 publications · 3.3K citations

    8

    h-index

  2. LL
    Ludvig Larsson

    KTH Royal Institute of Technology, Sweden

    6 publications · 1.6K citations

    6

    h-index

  3. SA
    Sarah A. Teichmann

    Wellcome Sanger Institute, United Kingdom

    5 publications · 501 citations

    5

    h-index

  4. BJ
    Benjamin J. Raphael

    Princeton University, United States

    4 publications · 403 citations

    4

    h-index

  5. JS
    Julio Sáez-Rodríguez

    Heidelberg University, Germany

    4 publications · 327 citations

    4

    h-index

1–5 of 1.4K

Venues

  1. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 25 publications · 1K citations

    17

    h-index

  2. Nature Communications

    15 publications · 2.3K citations

    15

    h-index

  3. Nature Biotechnology

    6 publications · 1.8K citations

    6

    h-index

  4. Nucleic Acids Research

    5 publications · 1.1K citations

    5

    h-index

  5. Nature Methods

    4 publications · 907 citations

    4

    h-index

1–5