Thomas A. Huff
Impact in
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- Diabetes Management and Research
- Diabetes, Cardiovascular Risks, and Lipoproteins
Papers in
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- Muscle Physiology and Disorders 2
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- Genetic Neurodegenerative Diseases 3
- Co-authors
- Harold E. Lebovitz (3 shared papers)Edwin D. Bransome (3 shared papers)T. H. J. Huisman (1 shared paper)E.C. Abraham (1 shared paper)J. B. Wilson (1 shared paper)Edward S. Horton (1 shared paper)Adrian D. Mandel (1 shared paper)Donald E. Nerland (1 shared paper)
- Journals
- Diabetes (2 papers)New England Journal of Medicine (2 papers)Clinical Chemistry (1 paper)Antimicrobial Agents and Chemotherapy (1 paper)The Journal of Clinical Endocrinology & Metabolism (1 paper)
- Partner nations
- United States
In The Last Decade
Thomas A. Huff
14 papers receiving 334 citations
Peers
Comparison fields: 5 of 96
- Endocrinology, Diabetes and Metabolism 105
- Clinical Biochemistry 29
- Cellular and Molecular Neuroscience 75
- Pharmacology 29
- Neurology 36
Countries citing papers authored by Thomas A. Huff
This map shows the geographic impact of Thomas A. Huff'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 Thomas A. Huff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas A. Huff more than expected).
Fields of papers citing papers by Thomas A. Huff
This network shows the impact of papers produced by Thomas A. Huff. 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 Thomas A. Huff. The network helps show where Thomas A. Huff may publish in the future.
Co-authors
The 21 scholars most cited alongside Thomas A. Huff, 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 | 1978 | 186 | |
| 2 | 1967 | 69 | |
| 3 | 1980 | 36 | |
| 4 | 1968 | 32 | |
| 5 | 1977 | 18 | |
| 6 | Why a medical career and what makes a good doctor? Beliefs of incoming United States medical students. | 2009 | 10 |
| 7 | 1972 | 9 | |
| 8 | 1997 | 9 | |
| 9 | 1985 | 7 | |
| 10 | 1969 | 5 | |
| 11 | 1976 | 4 | |
| 12 | 1986 | 3 | |
| 13 | 1988 | 3 | |
| 14 | 1980 | 2 |
About Thomas A. Huff
Thomas A. Huff is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Endocrinology, Diabetes and Metabolism, Neurology and Epidemiology, having authored 14 papers that have together received 393 indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (3 papers), Diabetes Management and Research (2 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (2 papers), Muscle Physiology and Disorders (2 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), Interprofessional Education and Collaboration (1 paper), Polymer Surface Interaction Studies (1 paper) and Metabolism and Genetic Disorders (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (105 citations), Clinical Biochemistry (29 citations), Cellular and Molecular Neuroscience (75 citations), Pharmacology (29 citations) and Neurology (36 citations). Thomas A. Huff has collaborated with scholars based in United States. Frequent co-authors include Harold E. Lebovitz, Edwin D. Bransome, T. H. J. Huisman, E.C. Abraham, J. B. Wilson, Edward S. Horton, Adrian D. Mandel, Donald E. Nerland, Suthep Thaniyavarn and Gerald Sonnenfeld. Their work appears in journals such as Diabetes, New England Journal of Medicine, Clinical Chemistry, Antimicrobial Agents and Chemotherapy and The Journal of Clinical Endocrinology & Metabolism.
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.