M. Reibaud

1.8k citations
23 papers · 1.4k indexed · h-index 16

Impact in

Papers in

M. Reibaud

23 papers receiving 1.3k citations

Peers

M. Reibaud
Comparison fields: 5 of 93
  • Cellular and Molecular Neuroscience 854
  • Pharmacology 407
  • Toxicology 46
  • Behavioral Neuroscience 43
  • Endocrine and Autonomic Systems 81
Replace David A. Karanian with:
David A. Karanian United States
Keith F. Martin United Kingdom
Sharon Goodenough Germany
Guo-Zhang Jin China
Dean R. Haubrich United States
Asami Tanimura Japan
Rafael Rodríguez‐Puertas Spain
Silva Fredduzzi Italy
Christopher M. de Fiebre United States
Bernard Francès France
M. Reibaud relative to David A. Karanian United States David A. Karanian's profile →
Citations per field
00.5×1.5×2.1×
David A. Karanian · 1×
Citations per year

Countries citing papers authored by M. Reibaud

Since Specialization
Citations

This map shows the geographic impact of M. Reibaud'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 M. Reibaud with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Reibaud more than expected).

Fields of papers citing papers by M. Reibaud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Reibaud. 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 M. Reibaud. The network helps show where M. Reibaud may publish in the future.

Co-authors

The 25 scholars most cited alongside M. Reibaud, 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 M. Reibaud Line = papers co-authored together M. Reibaud links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 200490
2 200235
3 200095
4 1999154
5 19999
6 1998167
7 199730
8 199415
9
Pharmacological properties and mechanism of action of the cyclopyrrolones.
199311
10 19939
11 1993294
12 19921
13 198917
14 198881
15 198856
16 198812
17 198643
18 198524
19 198473
20 198461

About M. Reibaud

M. Reibaud is a scholar working on Cellular and Molecular Neuroscience, Pharmacology, Toxicology, Physiology and Neurology, having authored 23 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (10 papers), Receptor Mechanisms and Signaling (7 papers), Neuropeptides and Animal Physiology (5 papers), Alzheimer's disease research and treatments (4 papers), Cholinesterase and Neurodegenerative Diseases (4 papers), Neurotransmitter Receptor Influence on Behavior (4 papers), Nicotinic Acetylcholine Receptors Study (3 papers) and Chemical Synthesis and Analysis (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (854 citations), Pharmacology (407 citations), Toxicology (46 citations), Behavioral Neuroscience (43 citations) and Endocrine and Autonomic Systems (81 citations). M. Reibaud has collaborated with scholars based in France, Belgium and United States. Frequent co-authors include Assunta Impérato, Georg Andrees Böhme, J.C. Blanchard, M.Carmen Obinu, J.M. Stutzmann, Adam Doble, O. Piot, Corentin Bon, Gérard Blanc and Jean‐Pol Tassin. Their work appears in journals such as Brain Research, European Journal of Pharmacology, Journal of Medicinal Chemistry, CNS Drug Reviews and Proceedings of the National Academy of Sciences.

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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