Single-cell Clustering

Single-Cell Clustering is a computational analysis method that partitions individual cells into distinct groups based on the similarity of their high-dimensional gene expression profiles derived from single-cell RNA sequencing data.

920

Publications

148.7K

Citations

5.8K

Authors

1.4K

Institutions

Publications per year

2017–2026

799

Authors

5.8K

  1. WH
    Wing Hung Wong

    Stanford University, United States

    9 publications · 673 citations

    9

    h-index

  2. JC
    John C. Marioni

    European Bioinformatics Institute, United Kingdom

    9 publications · 7.3K citations

    9

    h-index

  3. FJ
    Fabian J. Theis

    Helmholtz Zentrum München, Germany

    8 publications · 12K citations

    8

    h-index

  4. AR
    Aviv Regev

    Broad Institute, United States

    8 publications · 6.7K citations

    8

    h-index

  5. MH
    Martin Hemberg

    Wellcome Sanger Institute, United Kingdom

    8 publications · 3.2K citations

    8

    h-index

1–5 of 5.8K

Venues

  1. Bioinformatics

    60 publications · 4.8K citations

    33

    h-index

  2. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 84 publications · 2.4K citations

    28

    h-index

  3. Nature Communications

    31 publications · 4.8K citations

    24

    h-index

  4. Nucleic Acids Research

    29 publications · 3.8K citations

    23

    h-index

  5. Briefings in Bioinformatics

    42 publications · 1.5K citations

    23

    h-index

1–5