J. P. Flatt
Impact in
- Physiology top 1%
- Diet and metabolism studies
- Adipose Tissue and Metabolism
-
- Regulation of Appetite and Obesity
Papers in
- Cell Biology 17
- Muscle metabolism and nutrition 17
- Physiology 27
- Diet and metabolism studies 22
- Adipose Tissue and Metabolism 13
- Dietary Effects on Health 3
- Co-authors
- Éric RavussinK. J. AchesonGeorge L. BlackburnE JéquierG. H. A. ClowesJ. B. YoungD E LarsonSøren Snitker
- Journals
- American Journal of Clinical Nutrition (3 papers)American Journal of Physiology-Endocrinology and Metabolism (3 papers)Metabolism (3 papers)Diabetes (2 papers)Annals of the New York Academy of Sciences (2 papers)
- Partner nations
- United StatesSwitzerlandCzechia
In The Last Decade
J. P. Flatt
31 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 104
- Physiology 1.8k
- Endocrine and Autonomic Systems 348
- Cell Biology 830
- Nutrition and Dietetics 482
- Behavioral Neuroscience 80
Countries citing papers authored by J. P. Flatt
This map shows the geographic impact of J. P. Flatt'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 J. P. Flatt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. P. Flatt more than expected).
Fields of papers citing papers by J. P. Flatt
This network shows the impact of papers produced by J. P. Flatt. 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 J. P. Flatt. The network helps show where J. P. Flatt may publish in the future.
Co-authors
The 25 scholars most cited alongside J. P. Flatt, 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 | 2012 | 8 | |
| 2 | 2009 | 9 | |
| 3 | 2008 | 50 | |
| 4 | 1998 | 18 | |
| 5 | 1996 | 42 | |
| 6 | 1996 | 349 | |
| 7 | 1994 | 3 | |
| 8 | 1993 | 75 | |
| 9 | 1991 | 48 | |
| 10 | 1991 | 19 | |
| 11 | 1988 | 152 | |
| 12 | 1987 | 3 | |
| 13 | 1984 | 209 | |
| 14 | 1984 | 14 | |
| 15 | 1981 | 5 | |
| 16 | 1978 | 6 | |
| 17 | Role of branched chain amino acids (BCAA) intake in preventing muscle proteolysis. | 1976 | 9 |
| 18 | 1976 | 117 | |
| 19 | 1974 | 35 | |
| 20 | 1972 | 33 |
About J. P. Flatt
J. P. Flatt is a scholar working on Cell Biology, Physiology, Endocrine and Autonomic Systems, Clinical Biochemistry and Endocrinology, Diabetes and Metabolism, having authored 31 papers that have together received 2.4k indexed citations. Recurring topics across this work include Diet and metabolism studies (22 papers), Muscle metabolism and nutrition (17 papers), Adipose Tissue and Metabolism (13 papers), Obesity, Physical Activity, Diet (7 papers), Metabolism and Genetic Disorders (3 papers), Dietary Effects on Health (3 papers), Regulation of Appetite and Obesity (3 papers) and Hyperglycemia and glycemic control in critically ill and hospitalized patients (2 papers). The work is most often cited by research in Physiology (1.8k citations), Endocrine and Autonomic Systems (348 citations), Cell Biology (830 citations), Nutrition and Dietetics (482 citations) and Behavioral Neuroscience (80 citations). J. P. Flatt has collaborated with scholars based in United States, Switzerland and Czechia. Frequent co-authors include Éric Ravussin, K. J. Acheson, George L. Blackburn, E Jéquier, G. H. A. Clowes, J. B. Young, D E Larson, Søren Snitker, P. Antonio Tataranni and Thomas F.X. O’Donnell. Their work appears in journals such as American Journal of Clinical Nutrition, American Journal of Physiology-Endocrinology and Metabolism, Metabolism, Diabetes and Annals of the New York Academy of Sciences.
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.