Spatial Transcriptomic Integration

Spatial Transcriptomic Integration is a computational framework that combines single-cell RNA sequencing data with spatially resolved transcriptomic data to reconstruct gene expression patterns within the architectural context of tissues, thereby preserving both cellular resolution and spatial localization.

48

Publications

4.7K

Citations

384

Authors

135

Institutions

Publications per year

2017–2026

47

Authors

384

  1. RZ
    Ron Zeira

    Princeton University, United States

    3 publications · 345 citations

    3

    h-index

  2. SG
    Shila Ghazanfar

    The University of Sydney, Australia

    3 publications · 124 citations

    3

    h-index

  3. SZ
    Shihua Zhang

    Academy of Mathematics and Systems Science, China

    3 publications · 167 citations

    3

    h-index

  4. BJ
    Benjamin J. Raphael

    Princeton University, United States

    3 publications · 345 citations

    3

    h-index

  5. KD
    Kangning Dong

    Academy of Mathematics and Systems Science, China

    3 publications · 167 citations

    3

    h-index

1–5 of 384

Venues

  1. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 12 publications · 348 citations

    13

    h-index

  2. Nature Communications

    2 publications · 142 citations

    3

    h-index

  3. Nature Biotechnology

    2 publications · 1.2K citations

    2

    h-index

  4. Genome biology

    2 publications · 167 citations

    2

    h-index

  5. arXiv (Cornell University)

    Repository · 2 publications · 122 citations

    2

    h-index

1–5