Single-cell Temporal Transcriptomics

Single-Cell Temporal Transcriptomics is a methodological framework within transcriptomics that enables the high-resolution profiling of gene expression dynamics in individual cells across time, thereby capturing temporal changes in cellular states at single-cell resolution.

104

Publications

9.7K

Citations

903

Authors

331

Institutions

Publications per year

2017–2026

85

Authors

903

  1. AS
    Antoine‐Emmanuel Saliba

    Helmholtz Institute for RNA-based Infection Research, Germany

    3 publications · 509 citations

    3

    h-index

  2. JC
    Junyue Cao

    Rockefeller University, United States

    3 publications · 83 citations

    3

    h-index

  3. PA
    Panagiota Arampatzi

    University of Würzburg, Germany

    3 publications · 509 citations

    3

    h-index

  4. CT
    Cole Trapnell

    University of Washington, United States

    2 publications · 33 citations

    2

    h-index

  5. KW
    Klaas W. Mulder

    Radboud University Nijmegen, Netherlands

    2 publications · 54 citations

    2

    h-index

1–5 of 903

Venues

  1. Nature Communications

    12 publications · 939 citations

    12

    h-index

  2. Genome biology

    7 publications · 380 citations

    7

    h-index

  3. eLife

    6 publications · 471 citations

    6

    h-index

  4. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 7 publications · 136 citations

    6

    h-index

  5. Cell Reports

    4 publications · 122 citations

    4

    h-index

1–5