D. M. Mott
- Physiology top 1%
- Diet and metabolism studies 15
- Adipose Tissue and Metabolism 12
- Body Composition Measurement Techniques 3
- Cell Biology top 2%
- Muscle metabolism and nutrition 14
- Molecular Biology top 10%
- Metabolism, Diabetes, and Cancer 12
- Mitochondrial Function and Pathology 5
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- Pancreatic function and diabetes 13
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- Glycogen Storage Diseases and Myoclonus 7
- Co-authors
- Clifton BogardusStephen LilliojaG M ReavenKaren StoneC. BogardusBarbara V. HowardAndrew A. YoungC.B. Hollenbeck
- Journals
- Journal of Clinical Investigation (14 papers)American Journal of Physiology-Endocrinology and Metabolism (6 papers)The Journal of Clinical Endocrinology & Metabolism (4 papers)
- Partner nations
- United StatesPolandDenmark
In The Last Decade
D. M. Mott
37 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 105
- Physiology 1.3k
- Cell Biology 732
- Endocrinology, Diabetes and Metabolism 704
- Endocrine and Autonomic Systems 138
- Molecular Biology 1.1k
Countries citing papers authored by D. M. Mott
This map shows the geographic impact of D. M. Mott'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 D. M. Mott with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. M. Mott more than expected).
Fields of papers citing papers by D. M. Mott
This network shows the impact of papers produced by D. M. Mott. 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 D. M. Mott. The network helps show where D. M. Mott may publish in the future.
Co-authorship network
The 25 scholars most cited alongside D. M. Mott, 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 | 1998 | 11 | |
| 2 | 1998 | 185 | |
| 3 | Familiality of physical and metabolic characteristics that predict the development of non-insulin-dependent diabetes mellitus in Pima Indians. | 1997 | 83 |
| 4 | 1996 | 35 | |
| 5 | 1994 | 29 | |
| 6 | 1994 | 7 | |
| 7 | 1994 | 1 | |
| 8 | 1992 | 27 | |
| 9 | 1992 | 3 | |
| 10 | 1991 | 34 | |
| 11 | 1991 | 18 | |
| 12 | 1991 | 20 | |
| 13 | 1991 | 25 | |
| 14 | 1991 | 7 | |
| 15 | 1990 | 102 | |
| 16 | 1988 | 66 | |
| 17 | 1987 | 93 | |
| 18 | 1986 | 28 | |
| 19 | 1985 | 260 | |
| 20 | 1985 | 142 |
About D. M. Mott
D. M. Mott is a scholar working on Cell Biology, Physiology, Rheumatology, Surgery and Molecular Biology, having authored 37 papers that have together received 2.5k indexed citations. Recurring topics across this work include Diet and metabolism studies (15 papers), Muscle metabolism and nutrition (14 papers), Pancreatic function and diabetes (13 papers), Adipose Tissue and Metabolism (12 papers), Metabolism, Diabetes, and Cancer (12 papers), Glycogen Storage Diseases and Myoclonus (7 papers), Mitochondrial Function and Pathology (5 papers) and Body Composition Measurement Techniques (3 papers). The work is most often cited by research in Physiology (1.3k citations), Cell Biology (732 citations), Endocrinology, Diabetes and Metabolism (704 citations), Endocrine and Autonomic Systems (138 citations) and Molecular Biology (1.1k citations). D. M. Mott has collaborated with scholars based in United States, Poland and Denmark. Frequent co-authors include Clifton Bogardus, Stephen Lillioja, G M Reaven, Karen Stone, C. Bogardus, Barbara V. Howard, Andrew A. Young, C.B. Hollenbeck, James E. Foley and Peter H. Bennett. Their work appears in journals such as Journal of Clinical Investigation, American Journal of Physiology-Endocrinology and Metabolism, The Journal of Clinical Endocrinology & Metabolism, Diabetes and Diabetologia.
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.