Mathieu Baudonnat

505 citations
9 papers · 385 · h-index 9

Impact in

Papers in

Mathieu Baudonnat

9 papers receiving 380 citations

Peers

Mathieu Baudonnat
Comparison fields: 5 of 56
  • Behavioral Neuroscience 56
  • Cellular and Molecular Neuroscience 208
  • Biological Psychiatry 14
  • Cognitive Neuroscience 107
  • Molecular Biology 197
Replace Ninglei Sun with:
Ninglei Sun Canada
Steven T. Pittenger United States
Nather Madjid Sweden
Stephanie F. Bishop Canada
Maïté Hotte France
Vincenzo Tedesco Italy
Małgorzata Zienowicz Poland
Michelle R. Breier United States
Joanna Ekström Sweden
William C. Buchta United States
Mathieu Baudonnat relative to Ninglei Sun Canada Ninglei Sun's profile →
Citations per field
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Citations per year

Countries citing papers authored by Mathieu Baudonnat

Since Specialization
Citations

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

Fields of papers citing papers by Mathieu Baudonnat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2012114
2 201649
3 201149
4 201147
5 201339
6 201330
7 201224
8 201124
9 20179

About Mathieu Baudonnat

Mathieu Baudonnat is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cognitive Neuroscience, Pharmacology and Social Psychology, having authored 9 papers that have together received 385 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (5 papers), Neurotransmitter Receptor Influence on Behavior (5 papers), Memory and Neural Mechanisms (4 papers), Nicotinic Acetylcholine Receptors Study (3 papers), Neuroscience and Neuropharmacology Research (2 papers), Zebrafish Biomedical Research Applications (1 paper), Cholinesterase and Neurodegenerative Diseases (1 paper) and Neuroendocrine regulation and behavior (1 paper). The work is most often cited by research in Behavioral Neuroscience (56 citations), Cellular and Molecular Neuroscience (208 citations), Biological Psychiatry (14 citations), Cognitive Neuroscience (107 citations) and Molecular Biology (197 citations). Mathieu Baudonnat has collaborated with scholars based in France, United Kingdom and Italy. Frequent co-authors include Vincent David, Mark E. Walton, Daniel Béracochéa, Georgios Papageorgiou, Christelle Repérant, Alain M. Gardier, Morgane Besson, Matthias Vandesquille, Laurence Decorte and Anna Huber. Their work appears in journals such as Neuropsychopharmacology, Frontiers in Psychiatry, Cell Reports, Neurobiology of Aging and Molecular Psychiatry.

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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