Renal System Modeling

Renal System Modeling is a specialized branch of physiological systems modeling that employs mathematical and computational methods to represent and analyze the structure, function, and dynamic regulation of the kidney and its role in maintaining fluid, electrolyte, and acid-base homeostasis.

537

Publications

22.6K

Citations

1.6K

Authors

654

Institutions

Publications per year

2017–2026

98

Authors

1.6K

  1. AT
    Anita T. Layton

    Duke University, United States

    43 publications · 1.9K citations

    30

    h-index

  2. HE
    Harold E. Layton

    Duke University, United States

    21 publications · 882 citations

    19

    h-index

  3. DJ
    Donald J. Marsh

    University of Southern California, United States

    19 publications · 809 citations

    16

    h-index

  4. JT
    John T. Daugirdas

    University of Illinois Chicago, United States

    15 publications · 2.7K citations

    15

    h-index

  5. AE
    Aurélie Edwards

    Tufts University, United States

    14 publications · 752 citations

    13

    h-index

1–5 of 1.6K

Venues

  1. American Journal of Physiology-Renal Physiology

    77 publications · 3.4K citations

    37

    h-index

  2. PubMed

    Repository · 37 publications · 995 citations

    19

    h-index

  3. Kidney International

    21 publications · 1.7K citations

    18

    h-index

  4. The International Journal of Artificial Organs

    20 publications · 621 citations

    14

    h-index

  5. Bulletin of Mathematical Biology

    14 publications · 429 citations

    12

    h-index

1–5