Multi-modal Single-cell Analysis

Multi-Modal Single-Cell Analysis is a computational and experimental framework that integrates multiple molecular modalities (such as transcriptome, epigenome, and proteome) within individual cells to jointly profile gene expression and regulatory mechanisms at single-cell resolution.

52

Publications

22.1K

Citations

603

Authors

180

Institutions

Publications per year

2017–2026

51

Authors

603

  1. EP
    Efthymia Papalexi

    New York University, United States

    4 publications · 17.1K citations

    4

    h-index

  2. EP
    Eleni P. Mimitou

    New York Genome Center, United States

    4 publications · 17.1K citations

    4

    h-index

  3. PS
    Peter Smibert

    New York Genome Center, United States

    4 publications · 17.1K citations

    4

    h-index

  4. FJ
    Fabian J. Theis

    Helmholtz Zentrum München, Germany

    4 publications · 163 citations

    4

    h-index

  5. SA
    Sarah A. Teichmann

    Wellcome Sanger Institute, United Kingdom

    4 publications · 323 citations

    4

    h-index

1–5 of 603

Venues

  1. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 13 publications · 914 citations

    11

    h-index

  2. Nature Communications

    6 publications · 423 citations

    7

    h-index

  3. Genome biology

    5 publications · 1.3K citations

    5

    h-index

  4. Nature Methods

    5 publications · 1.6K citations

    5

    h-index

  5. Nature

    2 publications · 659 citations

    2

    h-index

1–5