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
Parents
215
Measuring senescence in wild animal populations: towards a longitudinal approach
Daniel H. Nussey, Tim Coulson, Marco Festa‐Bianchet et al. · Functional Ecology · 2008 · 453 citations · Full text
Life Sciences, Biology, Zoology +9
Choice Reviews Online · 1988 · 342 citations
Education, Biology, Psychology +12
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421
Duke University
Durham, United States
12 h-index
60 publications
2.5K citations
University of Michigan
Ann Arbor, United States
9 h-index
28 publications
2.3K citations
Harvard University
Cambridge, United States
7 h-index
18 publications
2.2K citations
Yale University
New Haven, United States
7 h-index
20 publications
983 citations

Centre National de la Recherche Scientifique
Paris, France
6 h-index
15 publications
760 citations
University College London
London, United Kingdom
6 h-index
14 publications
766 citations
University of Pennsylvania
Philadelphia, United States
5 h-index
12 publications
1.5K citations

Johns Hopkins University
Baltimore, United States
4 h-index
6 publications
426 citations
1–8 of 421
PNAS · 18 publications · 736 citations
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6 publications · 1.1K citations
6
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6 publications · 561 citations
6
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5 publications · 160 citations
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5 publications · 197 citations
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