V. Lenoir
- Behavioral Neuroscience top 10%
- Stress Responses and Cortisol 9
- Reproductive Medicine top 5%
- Hypothalamic control of reproductive hormones 11
- Ovarian function and disorders 4
- Endocrine and Autonomic Systems top 10%
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- Neuropeptides and Animal Physiology 6
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- Hormonal and reproductive studies 3
- Growth Hormone and Insulin-like Growth Factors 3
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- Adipose Tissue and Metabolism 3
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- Estrogen and related hormone effects 3
- Co-authors
- Bernard KerdelhuéC. GarretRobert P. MillarAurélien TartarStéphane Melik ParsadaniantzMiklós PalkovitsSaliha MoussaouiGeorgeanna S. Jones
- Journals
- Neuropeptides (2 papers)Breast Cancer Research and Treatment (2 papers)International Journal of Sports Medicine (1 paper)
- Partner nations
- FranceUnited StatesHungary
In The Last Decade
V. Lenoir
24 papers receiving 401 citations
Peers
Comparison fields: 5 of 63
- Behavioral Neuroscience 71
- Reproductive Medicine 135
- Endocrine and Autonomic Systems 62
- Cellular and Molecular Neuroscience 144
- Endocrinology, Diabetes and Metabolism 98
Countries citing papers authored by V. Lenoir
This map shows the geographic impact of V. Lenoir'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 V. Lenoir with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites V. Lenoir more than expected).
Fields of papers citing papers by V. Lenoir
This network shows the impact of papers produced by V. Lenoir. 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 V. Lenoir. The network helps show where V. Lenoir may publish in the future.
Co-authorship network
The 25 scholars most cited alongside V. Lenoir, 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 | 2008 | 37 | |
| 2 | 2005 | 5 | |
| 3 | Gene therapy with Adv-IL-2 in unresectable digestive cancer: phase I-II study, intermediate report. | 1999 | 16 |
| 4 | 1998 | 7 | |
| 5 | 1998 | 1 | |
| 6 | 1997 | 11 | |
| 7 | 1997 | 13 | |
| 8 | 1996 | 7 | |
| 9 | 1996 | 27 | |
| 10 | 1996 | 25 | |
| 11 | 1996 | 22 | |
| 12 | 1995 | 9 | |
| 13 | 1995 | 19 | |
| 14 | 1994 | 18 | |
| 15 | 1994 | 22 | |
| 16 | 1993 | 12 | |
| 17 | 1993 | 12 | |
| 18 | 1992 | 17 | |
| 19 | 1992 | 4 | |
| 20 | 1986 | 23 |
About V. Lenoir
V. Lenoir is a scholar working on Behavioral Neuroscience, Reproductive Medicine and Endocrine and Autonomic Systems, having authored 24 papers that have together received 409 indexed citations. Recurring topics across this work include Hypothalamic control of reproductive hormones (11 papers), Stress Responses and Cortisol (9 papers), Neuropeptides and Animal Physiology (6 papers), Ovarian function and disorders (4 papers), Adipose Tissue and Metabolism (3 papers), Hormonal and reproductive studies (3 papers), Estrogen and related hormone effects (3 papers) and Growth Hormone and Insulin-like Growth Factors (3 papers). The work is most often cited by research in Behavioral Neuroscience (71 citations), Reproductive Medicine (135 citations) and Endocrine and Autonomic Systems (62 citations). V. Lenoir has collaborated with scholars based in France, United States and Hungary. Frequent co-authors include Bernard Kerdelhué, C. Garret, Robert P. Millar, Aurélien Tartar, Stéphane Melik Parsadaniantz, Miklós Palkovits, Saliha Moussaoui, Georgeanna S. Jones, Patricia Parnet and Nicolás Isambert. Their work appears in journals such as Neuropeptides, Breast Cancer Research and Treatment, International Journal of Sports Medicine, Endocrinology and Brain 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.