Aging Trajectory Modeling

Aging Trajectory Modeling is a computational framework that characterizes the longitudinal progression of biological and functional changes over time by identifying individual-specific patterns of aging dynamics within heterogeneous populations.

215

Publications

13.6K

Citations

824

Authors

421

Institutions

Publications per year

2017–2026

90

Authors

824

  1. IA
    Igor Akushevich

    Duke University, United States

    7 publications · 226 citations

    7

    h-index

  2. SU
    Svetlana Ukraintseva

    Duke University, United States

    7 publications · 226 citations

    7

    h-index

  3. KG
    Konstantin G. Arbeev

    Duke University, United States

    7 publications · 226 citations

    7

    h-index

  4. AM
    Alexander M. Kulminski

    Duke University, United States

    6 publications · 172 citations

    6

    h-index

  5. LA
    Liubov Arbeeva

    Duke University, United States

    5 publications · 151 citations

    5

    h-index

1–5 of 824

Venues

  1. Proceedings of the National Academy of Sciences

    PNAS · 18 publications · 736 citations

    16

    h-index

  2. Mechanisms of Ageing and Development

    6 publications · 1.1K citations

    6

    h-index

  3. Demography

    6 publications · 561 citations

    6

    h-index

  4. Aging

    5 publications · 160 citations

    5

    h-index

  5. Experimental Gerontology

    5 publications · 197 citations

    5

    h-index

1–5