Richard Dlott
Impact in
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- Diabetes Management and Research
- Thyroid Disorders and Treatments
- Diabetes Treatment and Management
- Hyperglycemia and glycemic control in critically ill and hospitalized patients
Papers in
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- Thyroid Disorders and Treatments 3
- Diabetes Management and Research 2
- Thyroid Cancer Diagnosis and Treatment 1
- Diabetes Management and Education 1
- Growth Hormone and Insulin-like Growth Factors 1
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- Biomedical Text Mining and Ontologies 1
- Co-authors
- Lisa K. Gilliam (2 shared papers)Melissa M. Parker (2 shared papers)Howard H. Moffet (2 shared papers)Andrew J. Karter (2 shared papers)Alyce S. Adams (2 shared papers)Stephen Parodi (1 shared paper)Laura C. Myers (1 shared paper)Catherine Lee (1 shared paper)
- Journals
- The Journal of Clinical Endocrinology & Metabolism (2 papers)Diabetes Technology & Therapeutics (1 paper)Annals of Internal Medicine (1 paper)Learning Health Systems (1 paper)JAMA (1 paper)
- Partner nations
- United States
In The Last Decade
Richard Dlott
10 papers receiving 314 citations
Peers
Comparison fields: 5 of 65
- Endocrinology, Diabetes and Metabolism 144
- Modeling and Simulation 15
- Health 23
- Genetics 44
- General Health Professions 33
Countries citing papers authored by Richard Dlott
This map shows the geographic impact of Richard Dlott'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 Richard Dlott with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard Dlott more than expected).
Fields of papers citing papers by Richard Dlott
This network shows the impact of papers produced by Richard Dlott. 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 Richard Dlott. The network helps show where Richard Dlott may publish in the future.
Co-authors
The 25 scholars most cited alongside Richard Dlott, 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 | 2021 | 123 | |
| 2 | 2021 | 120 | |
| 3 | 1995 | 28 | |
| 4 | 2013 | 17 | |
| 5 | 2017 | 15 | |
| 6 | 2022 | 12 | |
| 7 | 2018 | 4 | |
| 8 | 2017 | 2 | |
| 9 | 2016 | 2 | |
| 10 | 2017 | 1 |
About Richard Dlott
Richard Dlott is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Cardiology and Cardiovascular Medicine, Health Informatics and Radiology, Nuclear Medicine and Imaging, having authored 10 papers that have together received 324 indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (3 papers), Diabetes Management and Research (2 papers), Artificial Intelligence in Healthcare and Education (1 paper), Biomedical Text Mining and Ontologies (1 paper), Cardiac Health and Mental Health (1 paper), Thyroid Cancer Diagnosis and Treatment (1 paper), Diabetes Management and Education (1 paper) and Growth Hormone and Insulin-like Growth Factors (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (144 citations), Modeling and Simulation (15 citations), Health (23 citations), Genetics (44 citations) and General Health Professions (33 citations). Richard Dlott has collaborated with scholars based in United States. Frequent co-authors include Lisa K. Gilliam, Melissa M. Parker, Howard H. Moffet, Andrew J. Karter, Alyce S. Adams, Stephen Parodi, Laura C. Myers, Catherine Lee, Charulata Ramaprasad and Gabriel J. Escobar. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Diabetes Technology & Therapeutics, Annals of Internal Medicine, Learning Health Systems and JAMA.
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.