Single-cell Network Visualization

Single-Cell Network Visualization is a computational framework that integrates and graphically represents gene regulatory or cellular interaction networks at single-cell resolution to reveal functional relationships and dynamic states across heterogeneous cell populations.

6

Publications

514

Citations

39

Authors

13

Institutions

Publications per year

2017–2026

5

Authors

39

  1. AM
    Allison M. Greaney

    Yale University, United States

    3 publications · 408 citations

    3

    h-index

  2. AL
    Andre Levchenko

    Johns Hopkins University, United States

    3 publications · 408 citations

    3

    h-index

  3. TA
    Taylor Adams

    Yale University, United States

    3 publications · 408 citations

    3

    h-index

  4. LE
    Laura E. Niklason

    Yale University, United States

    3 publications · 408 citations

    3

    h-index

  5. YK
    Yuval Kluger

    Yale University, United States

    3 publications · 408 citations

    3

    h-index

1–5 of 39

Venues

  1. Scientific Reports

    1 publications · 140 citations

    1

    h-index

  2. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 1 publications · 26 citations

    1

    h-index

  3. The Lancet

    1 publications · 42 citations

    1

    h-index

  4. Science Advances

    1 publications · 242 citations

    1

    h-index

  5. Nature Methods

    1 publications · 46 citations

    1

    h-index

1–5