Single-cell Splicing Analysis

Single-Cell Splicing Analysis is a computational and experimental framework that characterizes transcript isoform diversity at the resolution of individual cells, enabling the detection and quantification of alternative splicing events within heterogeneous cell populations.

71

Publications

6.5K

Citations

531

Authors

208

Institutions

Publications per year

2017–2026

53

Variants

Single-cell Alternative Splicing Analysis

Authors

531

  1. RD
    Roozbeh Dehghannasiri

    Stanford University, United States

    4 publications · 120 citations

    4

    h-index

  2. JO
    Julia Olivieri

    Stanford University, United States

    3 publications · 108 citations

    3

    h-index

  3. JS
    Julia Salzman

    Stanford University, United States

    3 publications · 97 citations

    3

    h-index

  4. AB
    Ariana Barreau

    St George's, University of London, United Kingdom

    2 publications · 204 citations

    2

    h-index

  5. SB
    Seth Blackshaw

    Johns Hopkins University, United States

    2 publications · 166 citations

    2

    h-index

1–5 of 531

Venues

  1. Genome biology

    9 publications · 668 citations

    9

    h-index

  2. Nature Communications

    8 publications · 1.8K citations

    8

    h-index

  3. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 7 publications · 140 citations

    6

    h-index

  4. eLife

    4 publications · 208 citations

    4

    h-index

  5. Proceedings of the National Academy of Sciences

    PNAS · 3 publications · 129 citations

    3

    h-index

1–5