N. Payet
Impact in
- Behavioral Neuroscience top 10%
- Stress Responses and Cortisol
- Plant Science top 10%
- Plant Stress Responses and Tolerance
- Seed Germination and Physiology
- Plant Genetic and Mutation Studies
Papers in
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- Neuroendocrine regulation and behavior 6
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- Stress Responses and Cortisol 5
- Co-authors
- Jean‐Guy Lehoux (4 shared papers)H. Isler (2 shared papers)Marie‐Hélène Avelange‐Macherel (2 shared papers)Dimitri Tolleter (2 shared papers)David Macherel (2 shared papers)Patrick Saulnier (1 shared paper)Cécile Mangavel (1 shared paper)Catherine Passirani (1 shared paper)
In The Last Decade
N. Payet
14 papers receiving 599 citations
Peers
Comparison fields: 5 of 74
- Behavioral Neuroscience 59
- Plant Science 278
- Endocrine and Autonomic Systems 40
- Aging 11
- Endocrinology, Diabetes and Metabolism 78
Countries citing papers authored by N. Payet
This map shows the geographic impact of N. Payet'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 N. Payet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N. Payet more than expected).
Fields of papers citing papers by N. Payet
This network shows the impact of papers produced by N. Payet. 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 N. Payet. The network helps show where N. Payet may publish in the future.
Co-authors
The 25 scholars most cited alongside N. Payet, 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 | 2007 | 199 | |
| 2 | 2013 | 96 | |
| 3 | 2011 | 68 | |
| 4 | 1984 | 54 | |
| 5 | 1980 | 40 | |
| 6 | 1976 | 37 | |
| 7 | Aldosterone and corticosterone stimulation by ACTH in isolated rat adrenal glomerulosa cells: interaction with vasopressin. | 1982 | 31 |
| 8 | 1983 | 30 | |
| 9 | 1980 | 21 | |
| 10 | 2014 | 16 | |
| 11 | 1982 | 8 | |
| 12 | 1983 | 5 | |
| 13 | Vasopressin: a potent autocrine/paracrine regulator of mammal adrenal functions. Endocr Res 24(3-4):703-710 | 1998 | 5 |
| 14 | 1982 | 2 | |
| 15 | Intramuscular lipid content and carcass fatness in specialized beef breeds: genetic variability and two candidate gene marker effects, DGAT1 and Thyroglobulin. | 2007 | 0 |
About N. Payet
N. Payet is a scholar working on Social Psychology, Behavioral Neuroscience, Endocrinology, Diabetes and Metabolism, Surgery and Pulmonary and Respiratory Medicine, having authored 15 papers that have together received 612 indexed citations. Recurring topics across this work include Neuroendocrine regulation and behavior (6 papers), Stress Responses and Cortisol (5 papers), Seed Germination and Physiology (3 papers), Hormonal Regulation and Hypertension (2 papers), Helicobacter pylori-related gastroenterology studies (2 papers), Plant Stress Responses and Tolerance (2 papers), Electrolyte and hormonal disorders (2 papers) and Adipose Tissue and Metabolism (1 paper). The work is most often cited by research in Behavioral Neuroscience (59 citations), Plant Science (278 citations), Endocrine and Autonomic Systems (40 citations), Aging (11 citations) and Endocrinology, Diabetes and Metabolism (78 citations). N. Payet has collaborated with scholars based in Canada, France and Australia. Frequent co-authors include Jean‐Guy Lehoux, H. Isler, Marie‐Hélène Avelange‐Macherel, Dimitri Tolleter, David Macherel, Patrick Saulnier, Cécile Mangavel, Catherine Passirani, Emeline Teyssier and Michel Jaquinod. Their work appears in journals such as Plant Cell & Environment, FEBS Letters, Proceedings of the National Academy of Sciences, European Journal of Endocrinology and Cell and Tissue Research.
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.