Single-cell Data Visualization

Single-Cell Data Visualization is a subfield of biomedical data visualization that develops and applies computational methods for transforming high-dimensional single-cell omics measurements into graphical and often interactive representations that preserve cellular relationships and heterogeneity to support interpretation, hypothesis generation, and communication in single-cell systems biology.

308

Publications

41.4K

Citations

1.8K

Authors

529

Institutions

Publications per year

2017–2026

235

Authors

1.8K

  1. FJ
    Fabian J. Theis

    Helmholtz Zentrum München, Germany

    8 publications · 892 citations

    8

    h-index

  2. GP
    Garry P. Nolan

    Stanford University, United States

    8 publications · 2.3K citations

    8

    h-index

  3. TH
    Thomas Höllt

    Delft University of Technology, Netherlands

    5 publications · 266 citations

    5

    h-index

  4. RG
    Raphaël Gottardo

    Fred Hutch Cancer Center, United States

    5 publications · 614 citations

    5

    h-index

  5. BB
    Bonnie Berger

    Massachusetts Institute of Technology, United States

    5 publications · 521 citations

    5

    h-index

1–5 of 1.8K

Venues

  1. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 44 publications · 1.8K citations

    22

    h-index

  2. Bioinformatics

    29 publications · 5.4K citations

    21

    h-index

  3. Nature Methods

    19 publications · 5.1K citations

    17

    h-index

  4. Nature Communications

    11 publications · 2.2K citations

    11

    h-index

  5. BMC Bioinformatics

    10 publications · 1.2K citations

    10

    h-index

1–5