Single-cell Mosaicism Analysis

Single-Cell Mosaicism Analysis is a computational and experimental framework that identifies and characterizes somatic genetic variations across individual cells within a tissue, distinguishing itself by resolving clonal heterogeneity and lineage relationships at single-cell resolution.

13

Publications

707

Citations

69

Authors

27

Institutions

Publications per year

2017–2026

6

Authors

69

  1. NA
    Nicole Amberg

    Institute of Science and Technology Austria, Austria

    3 publications · 106 citations

    3

    h-index

  2. SH
    Simon Hippenmeyer

    Institute of Science and Technology Austria, Austria

    3 publications · 106 citations

    3

    h-index

  3. XC
    Ximena Contreras

    Institute of Science and Technology Austria, Austria

    2 publications · 87 citations

    2

    h-index

  4. MM
    Marina Manvelyan

    Jena University Hospital, Germany

    2 publications · 94 citations

    2

    h-index

  5. JS
    Johanna Sonntag

    Heidelberg University, Germany

    2 publications · 87 citations

    2

    h-index

1–5 of 69

Venues

  1. Journal of Animal Science

    1 publications · 14 citations

    1

    h-index

  2. Journal of Assisted Reproduction and Genetics

    JARG · 1 publications · 60 citations

    1

    h-index

  3. Cell Reports

    1 publications · 73 citations

    1

    h-index

  4. Journal of Neuroscience

    1 publications · 107 citations

    1

    h-index

  5. Nature

    1 publications · 52 citations

    1

    h-index

1–5