P. Antonio Tataranni
- Physiology top 0.05%
- Epidemiology top 0.1%
- Endocrine and Autonomic Systems top 0.05%
- Endocrinology, Diabetes and Metabolism top 0.2%
- Nutrition and Dietetics top 0.1%
- Co-authors
- Richard E. PratleyChristian WeyerÉric RavussinClifton BogardusTohru FunahashiYūji MatsuzawaSachiyo TanakaArline D. Salbe
- Topics
- Regulation of Appetite and Obesity (46 papers)Adipose Tissue and Metabolism (39 papers)Diet and metabolism studies (27 papers)
- Partner nations
- United StatesJapanUnited Kingdom
In The Last Decade
P. Antonio Tataranni
121 papers receiving 18.0k citations
Hit Papers
Peers
Comparison fields: 5 of 161
- Physiology 8.0k
- Epidemiology 6.8k
- Endocrine and Autonomic Systems 5.1k
- Endocrinology, Diabetes and Metabolism 3.4k
- Nutrition and Dietetics 2.6k
Countries citing papers authored by P. Antonio Tataranni
This map shows the geographic impact of P. Antonio Tataranni'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 P. Antonio Tataranni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Antonio Tataranni more than expected).
Fields of papers citing papers by P. Antonio Tataranni
This network shows the impact of papers produced by P. Antonio Tataranni. 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 P. Antonio Tataranni. The network helps show where P. Antonio Tataranni may publish in the future.
Co-authorship network of co-authors of P. Antonio Tataranni
This figure shows the co-authorship network connecting the top 25 collaborators of P. Antonio Tataranni. A scholar is included among the top collaborators of P. Antonio Tataranni 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 P. Antonio Tataranni. P. Antonio Tataranni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 430 | |
| 2 | 185 | |
| 3 | 19 | |
| 4 | 7 | |
| 5 | 133 | |
| 6 | 36 | |
| 7 | 49 | |
| 8 | 103 | |
| 9 | 19 | |
| 10 | 106 | |
| 11 | Enlarged subcutaneous abdominal adipocyte size, but not obesity itself, predicts Type II diabetes independent of insulin resistancebreakdown → | 620 |
| 12 | 67 | |
| 13 | 135 | |
| 14 | 62 | |
| 15 | 146 | |
| 16 | 30 | |
| 17 | 298 | |
| 18 | 307 | |
| 19 | 86 | |
| 20 | 9 |
About P. Antonio Tataranni
P. Antonio Tataranni is a scholar working on Endocrine and Autonomic Systems, Physiology and Nutrition and Dietetics, having authored 121 papers that have together received 18.6k indexed citations. Recurring topics across this work include Regulation of Appetite and Obesity (46 papers), Adipose Tissue and Metabolism (39 papers) and Diet and metabolism studies (27 papers). The work is most often cited by research in Endocrine and Autonomic Systems (5.1k citations), Physiology (8.0k citations) and Endocrinology, Diabetes and Metabolism (3.4k citations). P. Antonio Tataranni has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Richard E. Pratley, Christian Weyer, Éric Ravussin, Clifton Bogardus, Tohru Funahashi, Yūji Matsuzawa, Sachiyo Tanaka, Arline D. Salbe, Robert S. Lindsay and Kikuko Hotta. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Lancet and Journal of Clinical Investigation.
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.