Armelle Penhoat
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 2%
- Physiology top 10%
- Nutrition and Dietetics top 5%
- Genetics top 10%
- Co-authors
- J.M. SaezMartine BégeotCéline JaillardDanielle NavilleGilles MithieuxA. StefanuttiFabienne RajasAnne Crozat
- Topics
- Adipose Tissue and Metabolism (10 papers)Growth Hormone and Insulin-like Growth Factors (9 papers)Hormonal Regulation and Hypertension (9 papers)
- Cited by
- Endocrinology, Diabetes and MetabolismEndocrine and Autonomic SystemsBehavioral Neuroscience
- Partner nations
- FranceBelgiumUnited States
In The Last Decade
Armelle Penhoat
53 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 86
- Molecular Biology 555
- Endocrinology, Diabetes and Metabolism 554
- Physiology 331
- Nutrition and Dietetics 246
- Genetics 231
Countries citing papers authored by Armelle Penhoat
This map shows the geographic impact of Armelle Penhoat'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 Armelle Penhoat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Armelle Penhoat more than expected).
Fields of papers citing papers by Armelle Penhoat
This network shows the impact of papers produced by Armelle Penhoat. 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 Armelle Penhoat. The network helps show where Armelle Penhoat may publish in the future.
Co-authorship network of co-authors of Armelle Penhoat
This figure shows the co-authorship network connecting the top 25 collaborators of Armelle Penhoat. A scholar is included among the top collaborators of Armelle Penhoat 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 Armelle Penhoat. Armelle Penhoat is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 13 | |
| 4 | 56 | |
| 5 | 47 | |
| 6 | 52 | |
| 7 | 109 | |
| 8 | 44 | |
| 9 | 3 | |
| 10 | 42 | |
| 11 | 3 | |
| 12 | 15 | |
| 13 | 11 | |
| 14 | 12 | |
| 15 | 31 | |
| 16 | 18 | |
| 17 | 5 | |
| 18 | 37 | |
| 19 | 16 | |
| 20 | 109 |
About Armelle Penhoat
Armelle Penhoat is a scholar working on Endocrinology, Diabetes and Metabolism, Endocrine and Autonomic Systems and Behavioral Neuroscience, having authored 53 papers that have together received 1.4k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (10 papers), Growth Hormone and Insulin-like Growth Factors (9 papers) and Hormonal Regulation and Hypertension (9 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (554 citations), Endocrine and Autonomic Systems (186 citations) and Behavioral Neuroscience (65 citations). Armelle Penhoat has collaborated with scholars based in France, Belgium and United States. Frequent co-authors include J.M. Saez, Martine Bégeot, Céline Jaillard, J.M. Saez, Danielle Naville, Gilles Mithieux, A. Stefanutti, Fabienne Rajas, Anne Crozat and P Chatelain. Their work appears in journals such as Cell, The Journal of Clinical Endocrinology & Metabolism and Food Chemistry.
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.