G. Le Fur

9.3k citations
130 papers · 8.2k indexed · h-index 48

Impact in

Papers in

G. Le Fur

128 papers receiving 7.8k citations

Peers

G. Le Fur
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
Replace J Axelrod with:
J Axelrod United States
Akemichi Baba Japan
L L Iversen United Kingdom
Tiziana Mennini Italy
PierFranco Spano Italy
Michihiro Fujiwara Japan
Norton H. Neff United States
M. J. Kuhar United States
Françis C. Colpaert France
Toshio Matsuda Japan
G. Le Fur relative to J Axelrod United States J Axelrod's profile →
Citations per field
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Citations per year

Countries citing papers authored by G. Le Fur

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with G. Le Fur Line = papers co-authored together G. Le Fur links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2007107
2 2004107
3 2003270
4 2003499
5 199973
6 199835
7 199894
8 199658
9 199637
10 199616
11 1995151
12 199525
13 199523
14 199527
15 199424
16 199410
17 199426
18 199425
19 199332
20 199315

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.

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