G. Le Fur
Impact in
- Cellular and Molecular Neuroscience top 0.2%
- Neuroscience and Neuropharmacology Research
- Neuropeptides and Animal Physiology
- Neurotransmitter Receptor Influence on Behavior
- Behavioral Neuroscience top 1%
- Stress Responses and Cortisol
Papers in
-
- Neuropeptides and Animal Physiology 47
- Neuroscience and Neuropharmacology Research 37
- Neurotransmitter Receptor Influence on Behavior 17
- Co-authors
- A. UzanPhilippe SoubriéC. GuérémyC. RenaultM.C. DubroeucqPierre CasellasM Rinaldi-CarmonaJesús Bénavidès
- Journals
- Life Sciences (24 papers)Neuropeptides (11 papers)Journal of Pharmacology and Experimental Therapeutics (9 papers)Neuroscience (8 papers)Journal of Neurochemistry (7 papers)
- Partner nations
- FranceItalyUnited States
In The Last Decade
G. Le Fur
128 papers receiving 7.8k citations
Peers
Comparison fields: 5 of 120
- Cellular and Molecular Neuroscience 5.0k
- Behavioral Neuroscience 523
- Biological Psychiatry 300
- Pharmacology 2.0k
- Endocrine and Autonomic Systems 624
Countries citing papers authored by G. Le Fur
This map shows the geographic impact of G. Le Fur'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 G. Le Fur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Le Fur more than expected).
Fields of papers citing papers by G. Le Fur
This network shows the impact of papers produced by G. Le Fur. 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 G. Le Fur. The network helps show where G. Le Fur may publish in the future.
Co-authors
The 25 scholars most cited alongside G. Le Fur, 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 | 107 | |
| 2 | 2004 | 107 | |
| 3 | 2003 | 270 | |
| 4 | 2003 | 499 | |
| 5 | 1999 | 73 | |
| 6 | 1998 | 35 | |
| 7 | 1998 | 94 | |
| 8 | 1996 | 58 | |
| 9 | 1996 | 37 | |
| 10 | 1996 | 16 | |
| 11 | 1995 | 151 | |
| 12 | 1995 | 25 | |
| 13 | 1995 | 23 | |
| 14 | 1995 | 27 | |
| 15 | 1994 | 24 | |
| 16 | 1994 | 10 | |
| 17 | 1994 | 26 | |
| 18 | 1994 | 25 | |
| 19 | 1993 | 32 | |
| 20 | 1993 | 15 |
About G. Le Fur
G. Le Fur is a scholar working on Cellular and Molecular Neuroscience, Behavioral Neuroscience, Biological Psychiatry, Molecular Biology and Pharmacology, having authored 130 papers that have together received 8.2k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (64 papers), Neuropeptides and Animal Physiology (47 papers), Neuroscience and Neuropharmacology Research (37 papers), Neurotransmitter Receptor Influence on Behavior (17 papers), Cannabis and Cannabinoid Research (13 papers), Neuroendocrine regulation and behavior (13 papers), Pharmacological Receptor Mechanisms and Effects (12 papers) and Hypothalamic control of reproductive hormones (9 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (5.0k citations), Behavioral Neuroscience (523 citations), Biological Psychiatry (300 citations), Pharmacology (2.0k citations) and Endocrine and Autonomic Systems (624 citations). G. Le Fur has collaborated with scholars based in France, Italy and United States. Frequent co-authors include A. Uzan, Philippe Soubrié, C. Guérémy, C. Renault, M.C. Dubroeucq, Pierre Casellas, M Rinaldi-Carmona, Jesús Bénavidès, J.P. Maffrand and Florence Oury-Donat. Their work appears in journals such as Life Sciences, Neuropeptides, Journal of Pharmacology and Experimental Therapeutics, Neuroscience and Journal of Neurochemistry.
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.