Todd Prewitt
Impact in
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- Diabetes Treatment and Management
- Diabetes Management and Education
Papers in
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- Diabetes, Cardiovascular Risks, and Lipoproteins 3
- Diabetes Treatment and Management 2
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- Health Systems, Economic Evaluations, Quality of Life 3
- Co-authors
- Laura E. Happe (2 shared papers)Tristan Cordier (4 shared papers)S. Lane Slabaugh (2 shared papers)Matthew M. Zack (2 shared papers)Cynthia M. Castro (3 shared papers)Mike Payne (1 shared paper)Erica N. Madero (1 shared paper)Andrew Renda (2 shared papers)
- Journals
- Population Health Management (4 papers)Diabetes (2 papers)Diabetes Therapy (1 paper)Value in Health (1 paper)Preventing Chronic Disease (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Todd Prewitt
11 papers receiving 259 citations
Peers
Comparison fields: 5 of 54
- Health Informatics 5
- Endocrinology, Diabetes and Metabolism 55
- Family Practice 5
- General Health Professions 67
- Health 22
Countries citing papers authored by Todd Prewitt
This map shows the geographic impact of Todd Prewitt'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 Todd Prewitt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Todd Prewitt more than expected).
Fields of papers citing papers by Todd Prewitt
This network shows the impact of papers produced by Todd Prewitt. 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 Todd Prewitt. The network helps show where Todd Prewitt may publish in the future.
Co-authors
The 25 scholars most cited alongside Todd Prewitt, 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 | 2017 | 99 | |
| 2 | 2016 | 84 | |
| 3 | 2017 | 34 | |
| 4 | 2017 | 21 | |
| 5 | 2022 | 20 | |
| 6 | 2020 | 3 | |
| 7 | 2023 | 2 | |
| 8 | 2018 | 2 | |
| 9 | 2021 | 2 | |
| 10 | 2018 | 1 | |
| 11 | 2025 | 1 | |
| 12 | 2018 | 0 | |
| 13 | 2023 | 0 |
About Todd Prewitt
Todd Prewitt is a scholar working on Endocrinology, Diabetes and Metabolism, Economics and Econometrics, General Health Professions, Family Practice and Epidemiology, having authored 13 papers that have together received 269 indexed citations. Recurring topics across this work include Medication Adherence and Compliance (3 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Mobile Health and mHealth Applications (2 papers), Diabetes Treatment and Management (2 papers), Chronic Disease Management Strategies (2 papers), Pharmaceutical Practices and Patient Outcomes (1 paper) and Artificial Intelligence in Healthcare (1 paper). The work is most often cited by research in Health Informatics (5 citations), Endocrinology, Diabetes and Metabolism (55 citations), Family Practice (5 citations), General Health Professions (67 citations) and Health (22 citations). Todd Prewitt has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Laura E. Happe, Tristan Cordier, S. Lane Slabaugh, Matthew M. Zack, Cynthia M. Castro, Mike Payne, Erica N. Madero, Andrew Renda, Haomiao Jia and Ibrahim M. Abbass. Their work appears in journals such as Population Health Management, Diabetes, Diabetes Therapy, Value in Health and Preventing Chronic Disease.
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.