Glucose Data Interpretation

Glucose Data Interpretation is a methodological framework within blood glucose monitoring that systematically analyzes temporal glucose patterns and variability to extract clinically meaningful insights for diabetes management.

223

Publications

9.9K

Citations

943

Authors

488

Institutions

Publications per year

2017–2026

64

Authors

943

  1. DR
    David Rodbard

    National Institutes of Health, United States

    11 publications · 927 citations

    11

    h-index

  2. IB
    Irl B. Hirsch

    University of Washington, United States

    9 publications · 1.4K citations

    9

    h-index

  3. TS
    Timothy S. Bailey

    AMCR Institute, United States

    6 publications · 1.1K citations

    6

    h-index

  4. BK
    Boris Kovatchev

    University of Virginia, United States

    6 publications · 824 citations

    6

    h-index

  5. RM
    Richard M. Bergenstal

    Park Nicollet Clinic, United States

    6 publications · 585 citations

    6

    h-index

1–5 of 943

Venues

  1. Journal of Diabetes Science and Technology

    DST · 46 publications · 1.7K citations

    24

    h-index

  2. Diabetes Technology & Therapeutics

    18 publications · 1.5K citations

    17

    h-index

  3. Diabetes Care

    18 publications · 1.1K citations

    15

    h-index

  4. PubMed

    Repository · 7 publications · 153 citations

    7

    h-index

  5. Diabetes Research and Clinical Practice

    6 publications · 123 citations

    6

    h-index

1–5