Single-cell Analysis

Single-Cell Analysis is an analytical methodology in molecular and cellular biology that quantifies genomic, transcriptomic, epigenomic, proteomic or phenotypic features at the resolution of individual cells, thereby resolving cell-to-cell heterogeneity that is obscured in bulk population measurements.

5.9K

Publications

881.2K

Citations

31.6K

Authors

4.1K

Institutions

Publications per year

2017–2026

4.1K

Authors

31.6K

  1. AR
    Aviv Regev

    Broad Institute, United States

    63 publications · 44.7K citations

    51

    h-index

  2. FJ
    Fabian J. Theis

    Helmholtz Zentrum München, Germany

    71 publications · 24K citations

    40

    h-index

  3. GP
    Garry P. Nolan

    Stanford University, United States

    52 publications · 12.8K citations

    40

    h-index

  4. SA
    Sarah A. Teichmann

    Wellcome Sanger Institute, United Kingdom

    53 publications · 19.6K citations

    39

    h-index

  5. JC
    John C. Marioni

    European Bioinformatics Institute, United Kingdom

    51 publications · 21K citations

    39

    h-index

1–5 of 31.6K

Venues

  1. Nature Communications

    250 publications · 54.5K citations

    114

    h-index

  2. Nature Methods

    179 publications · 89.5K citations

    113

    h-index

  3. Nature Biotechnology

    107 publications · 77.5K citations

    84

    h-index

  4. Genome biology

    159 publications · 58K citations

    82

    h-index

  5. Proceedings of the National Academy of Sciences

    PNAS · 177 publications · 22.6K citations

    77

    h-index

1–5