Disease Progression Modeling

Disease Progression Modeling is a computational and mathematical framework within systems medicine that characterizes the temporal evolution of pathological and clinical manifestations of a disease, distinguishing itself from related modeling approaches by explicitly representing the underlying biological mechanisms and clinical outcomes over time.

1.7K

Publications

95.1K

Citations

8.5K

Authors

2.7K

Institutions

Publications per year

2017–2026

825

Authors

8.5K

  1. DC
    Daniel C. Alexander

    University College London, United Kingdom

    15 publications · 1.2K citations

    15

    h-index

  2. LC
    Luonan Chen

    Chinese Academy of Sciences, China

    14 publications · 1.8K citations

    14

    h-index

  3. KA
    Kazuyuki Aihara

    The University of Tokyo, Japan

    14 publications · 1.6K citations

    13

    h-index

  4. RL
    Rui Liu

    South China University of Technology, China

    12 publications · 2K citations

    12

    h-index

  5. AF
    Avner Friedman

    The Ohio State University, United States

    11 publications · 605 citations

    11

    h-index

1–5 of 8.5K

Venues

  1. PLoS ONE

    58 publications · 2.3K citations

    28

    h-index

  2. Statistics in Medicine

    58 publications · 2.3K citations

    27

    h-index

  3. Scientific Reports

    35 publications · 2.2K citations

    23

    h-index

  4. PubMed

    Repository · 28 publications · 1.5K citations

    21

    h-index

  5. Biometrics

    28 publications · 2K citations

    20

    h-index

1–5