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
Parents
223
Richard M. Bergenstal, Andrew Ahmann, Timothy S. Bailey et al. · Diabetes Technology & Therapeutics · 2013 · 302 citations
Alan J. Garber, Martin J. Abrahamson, Joshua I. Barzilay et al. · Endocrine Practice · 2013 · 281 citations · Full text
David C. Klonoff, Jing Wang, David Rodbard et al. · Journal of Diabetes Science and Technology · 2022 · 276 citations · Full text
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488
University of California San Diego
San Diego, United States
11 h-index
19 publications
1.4K citations
University of Washington
Seattle, United States
8 h-index
8 publications
1K citations

University of Padua
Padua, Italy
7 h-index
21 publications
762 citations
Yale University
New Haven, United States
6 h-index
8 publications
1K citations

University of Colorado Denver
Denver, United States
5 h-index
5 publications
726 citations
Diabetes Australia
Canberra, Australia
5 h-index
6 publications
490 citations
AMCR Institute
Escondido, United States
5 h-index
5 publications
924 citations
Harvard University
Cambridge, United States
5 h-index
6 publications
385 citations
1–8 of 488
DST · 46 publications · 1.7K citations
24
h-index
18 publications · 1.5K citations
17
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18 publications · 1.1K citations
15
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Repository · 7 publications · 153 citations
7
h-index
6 publications · 123 citations
6
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