J. P. Flatt
- Physiology top 2%
- Cell Biology top 5%
- Public Health, Environmental and Occupational Health top 5%
- Nutrition and Dietetics top 2%
- Molecular Biology
- Co-authors
- Eric G. BallE JéquierY. SchützD SalmonGeorge L. BlackburnGeorge A. BrooksWilliam RandBenjamı́n Caballero
- Topics
- Diet and metabolism studies (13 papers)Muscle metabolism and nutrition (7 papers)Adipose Tissue and Metabolism (7 papers)
- Partner nations
- United StatesSwitzerlandFrance
In The Last Decade
J. P. Flatt
23 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 112
- Physiology 1.2k
- Cell Biology 455
- Public Health, Environmental and Occupational Health 435
- Nutrition and Dietetics 403
- Molecular Biology 237
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-authorship network of co-authors of J. P. Flatt
This figure shows the co-authorship network connecting the top 25 collaborators of J. P. Flatt. A scholar is included among the top collaborators of J. P. Flatt based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with J. P. Flatt. J. P. Flatt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 36 | |
| 2 | 20 | |
| 3 | 174 | |
| 4 | 36 | |
| 5 | 23 | |
| 6 | 15 | |
| 7 | Body fat content and the balance between fat and alcohol oxidation and consumption. | 1 |
| 8 | Metabolic determinants of body weight regulation. | 7 |
| 9 | Group Report: What are the metabolic and physiological mechanisms associated with the regulation of body weight? | 2 |
| 10 | 56 | |
| 11 | 282 | |
| 12 | 46 | |
| 13 | 216 | |
| 14 | 52 | |
| 15 | Effect of dietary fat content on the incidence of obesity among ad libitum fed mice. | 163 |
| 16 | 20 | |
| 17 | 119 | |
| 18 | 108 | |
| 19 | 273 | |
| 20 | 0 |
About J. P. Flatt
J. P. Flatt is a scholar working on Physiology, Filtration and Separation and Cell Biology, having authored 24 papers that have together received 1.8k indexed citations. Recurring topics across this work include Diet and metabolism studies (13 papers), Muscle metabolism and nutrition (7 papers) and Adipose Tissue and Metabolism (7 papers). The work is most often cited by research in Physiology (1.2k citations), Endocrine and Autonomic Systems (208 citations) and Cell Biology (455 citations). J. P. Flatt has collaborated with scholars based in United States, Switzerland and France. Frequent co-authors include Eric G. Ball, E Jéquier, Y. Schütz, D Salmon, George L. Blackburn, George A. Brooks, William Rand, Benjamı́n Caballero, Nancy F. Butte and Edward Hallowell. Their work appears in journals such as Journal of Biological Chemistry, American Journal of Clinical Nutrition and Biochemical Journal.
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.