David E. Kloecker
Impact in
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- Diabetes Treatment and Management
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
Papers in
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- Diabetes Treatment and Management 9
- Diabetes Management and Research 2
-
- COVID-19 Clinical Research Studies 6
- Co-authors
- Kamlesh Khunti (18 shared papers)Francesco Zaccardi (18 shared papers)Melanie Jane Davies (17 shared papers)Clare L. Gillies (8 shared papers)Yogini Chudasama (6 shared papers)Alex V. Rowlands (6 shared papers)Cameron Razieh (6 shared papers)Nazrul Islam (5 shared papers)
- Journals
- Diabetes Obesity and Metabolism (6 papers)Mayo Clinic Proceedings (2 papers)Obesity Research & Clinical Practice (1 paper)Diabetes Care (1 paper)Wellcome Open Research (1 paper)
- Partner nations
- United KingdomItalyBelgium
In The Last Decade
David E. Kloecker
15 papers receiving 361 citations
Peers
Comparison fields: 5 of 70
- Endocrinology, Diabetes and Metabolism 105
- Modeling and Simulation 20
- Infectious Diseases 65
- Physiology 57
- Endocrine and Autonomic Systems 11
Countries citing papers authored by David E. Kloecker
This map shows the geographic impact of David E. Kloecker's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by David E. Kloecker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David E. Kloecker more than expected).
Fields of papers citing papers by David E. Kloecker
This network shows the impact of papers produced by David E. Kloecker. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by David E. Kloecker. The network helps show where David E. Kloecker may publish in the future.
Co-authors
The 25 scholars most cited alongside David E. Kloecker, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 65 | |
| 2 | 2020 | 59 | |
| 3 | 2021 | 58 | |
| 4 | 2020 | 34 | |
| 5 | 2021 | 27 | |
| 6 | 2021 | 24 | |
| 7 | 2021 | 23 | |
| 8 | 2019 | 18 | |
| 9 | 2021 | 14 | |
| 10 | 2020 | 13 | |
| 11 | 2020 | 13 | |
| 12 | 2020 | 8 | |
| 13 | 2021 | 5 | |
| 14 | 2023 | 5 | |
| 15 | 2022 | 3 | |
| 16 | 2023 | 0 | |
| 17 | 2023 | 0 | |
| 18 | 2024 | 0 | |
| 19 | 2025 | 0 |
About David E. Kloecker
David E. Kloecker is a scholar working on Endocrinology, Diabetes and Metabolism, Infectious Diseases, Modeling and Simulation, Statistics and Probability and Physiology, having authored 19 papers that have together received 369 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (9 papers), COVID-19 Clinical Research Studies (6 papers), Diabetes Management and Research (2 papers), COVID-19 epidemiological studies (2 papers), Physical Activity and Health (2 papers), Healthcare Systems and Challenges (2 papers), Sleep and related disorders (1 paper) and Bariatric Surgery and Outcomes (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (105 citations), Modeling and Simulation (20 citations), Infectious Diseases (65 citations), Physiology (57 citations) and Endocrine and Autonomic Systems (11 citations). David E. Kloecker has collaborated with scholars based in United Kingdom, Italy and Belgium. Frequent co-authors include Kamlesh Khunti, Francesco Zaccardi, Melanie Jane Davies, Clare L. Gillies, Yogini Chudasama, Alex V. Rowlands, Cameron Razieh, Nazrul Islam, Thomas E. Yates and Laura J. Gray. Their work appears in journals such as Diabetes Obesity and Metabolism, Mayo Clinic Proceedings, Obesity Research & Clinical Practice, Diabetes Care and Wellcome Open Research.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.