Cell Subpopulation Detection

Cell Subpopulation Detection is a computational or experimental methodology within rare cell population analysis that specifically identifies and characterizes distinct, low-abundance cellular subsets based on unique molecular or phenotypic signatures, thereby differentiating them from more prevalent cell types within a heterogeneous biological sample.

105

Publications

5.8K

Citations

543

Authors

222

Institutions

Publications per year

2017–2026

27

Authors

543

  1. JH
    Joel H. Kaplan

    General Electric (United States), United States

    4 publications · 85 citations

    4

    h-index

  2. EE
    E. E. Uzgiris

    General Electric (United States), United States

    4 publications · 85 citations

    4

    h-index

  3. KH
    Kyoko Hayakawa

    Fox Chase Cancer Center, United States

    3 publications · 969 citations

    3

    h-index

  4. MS
    Molly Strom

    University College London, United Kingdom

    2 publications · 122 citations

    2

    h-index

  5. LW
    Ling‐Yun Wu

    Academy of Mathematics and Systems Science, China

    1 publications · 518 citations

    2

    h-index

1–5 of 543

Venues

  1. The Journal of Immunology

    JI · 10 publications · 787 citations

    10

    h-index

  2. PubMed

    Repository · 7 publications · 138 citations

    7

    h-index

  3. Cytometry Part A

    3 publications · 129 citations

    3

    h-index

  4. The Journal of Experimental Medicine

    3 publications · 937 citations

    3

    h-index

  5. Cytometry

    2 publications · 75 citations

    2

    h-index

1–5