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)Cécile Mangavel (1 shared paper)Patrick Saulnier (1 shared paper)Catherine Passirani (1 shared paper)
In The Last Decade
N. Payet
15 papers receiving 576 citations
Peers
Comparison fields: 5 of 75
- Behavioral Neuroscience 57
- Plant Science 273
- Aging 11
- Endocrine and Autonomic Systems 39
- Endocrinology, Diabetes and Metabolism 79
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 | 192 | |
| 2 | 2013 | 94 | |
| 3 | 2011 | 62 | |
| 4 | 1984 | 51 | |
| 5 | 1980 | 38 | |
| 6 | 1976 | 37 | |
| 7 | Aldosterone and corticosterone stimulation by ACTH in isolated rat adrenal glomerulosa cells: interaction with vasopressin. | 1982 | 31 |
| 8 | 1983 | 26 | |
| 9 | 1980 | 20 | |
| 10 | 2014 | 16 | |
| 11 | 1982 | 7 | |
| 12 | 1983 | 5 | |
| 13 | Vasopressin: a potent autocrine/paracrine regulator of mammal adrenal functions. Endocr Res 24(3-4):703-710 | 1998 | 4 |
| 14 | Intramuscular lipid content and carcass fatness in specialized beef breeds: genetic variability and two candidate gene marker effects, DGAT1 and Thyroglobulin. | 2007 | 1 |
| 15 | 1982 | 1 |
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 585 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), Plant Stress Responses and Tolerance (2 papers), Electrolyte and hormonal disorders (2 papers), Hormonal Regulation and Hypertension (2 papers), Helicobacter pylori-related gastroenterology studies (2 papers) and Adrenal Hormones and Disorders (1 paper). The work is most often cited by research in Behavioral Neuroscience (57 citations), Plant Science (273 citations), Aging (11 citations), Endocrine and Autonomic Systems (39 citations) and Endocrinology, Diabetes and Metabolism (79 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, Cécile Mangavel, Patrick Saulnier, Catherine Passirani, Stéphen Manon and Emeline Teyssier. Their work appears in journals such as Plant Cell & Environment, European Journal of Endocrinology, FEBS Letters, The Plant Cell 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.