Single-cell Expression Signatures

Single-Cell Expression Signatures is a computational construct that represents the unique pattern of gene expression at the resolution of individual cells, distinguishing it from bulk expression profiles by capturing cell-to-cell variability and enabling the identification of rare or transient cell states within heterogeneous populations.

306

Publications

33.6K

Citations

2.7K

Authors

845

Institutions

Publications per year

2017–2026

253

Authors

2.7K

  1. RR
    Roberto Romero

    Wayne State University, United States

    5 publications · 516 citations

    5

    h-index

  2. FJ
    Fabian J. Theis

    Helmholtz Zentrum München, Germany

    5 publications · 426 citations

    5

    h-index

  3. BG
    Berthold Göttgens

    University of Cambridge, United Kingdom

    5 publications · 1.5K citations

    5

    h-index

  4. YC
    Yu‐Dong Cai

    Shanghai University, China

    5 publications · 117 citations

    5

    h-index

  5. DS
    Debarka Sengupta

    Indraprastha Institute of Information Technology Delhi, India

    5 publications · 154 citations

    5

    h-index

1–5 of 2.7K

Venues

  1. Nature Communications

    22 publications · 3.3K citations

    20

    h-index

  2. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 26 publications · 721 citations

    17

    h-index

  3. Frontiers in Immunology

    10 publications · 461 citations

    10

    h-index

  4. Genome biology

    7 publications · 5.3K citations

    7

    h-index

  5. Scientific Reports

    6 publications · 689 citations

    6

    h-index

1–5