Graph-based Visualization

Graph-Based Visualization is a method within single-cell data visualization that represents cells as nodes and their pairwise relationships as edges in a graph structure, enabling the visualization of high-dimensional cellular landscapes through topological organization.

116

Publications

26.4K

Citations

442

Authors

224

Institutions

Publications per year

2017–2026

29

Authors

442

  1. GD
    Gary D. Bader

    University of Toronto, Canada

    3 publications · 1.1K citations

    3

    h-index

  2. MS
    Michael Smoot

    University of California San Diego, United States

    3 publications · 5.3K citations

    3

    h-index

  3. TI
    Trey Ideker

    University of California San Diego, United States

    3 publications · 5.3K citations

    3

    h-index

  4. DY
    Dong Yue

    University of Toronto, Canada

    3 publications · 1.1K citations

    3

    h-index

  5. WZ
    William Z. Bernstein

    National Institute of Standards and Technology, United States

    2 publications · 51 citations

    2

    h-index

1–5 of 442

Venues

  1. Bioinformatics

    15 publications · 7.8K citations

    13

    h-index

  2. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 6 publications · 596 citations

    6

    h-index

  3. BMC Bioinformatics

    4 publications · 105 citations

    4

    h-index

  4. PLoS ONE

    3 publications · 11.3K citations

    3

    h-index

  5. F1000Research

    3 publications · 280 citations

    3

    h-index

1–5