Fleur Gaudette

43 total papers · 497 total citations
28 papers, 330 citations indexed

About

Fleur Gaudette is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Pharmacology. According to data from OpenAlex, Fleur Gaudette has authored 28 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cellular and Molecular Neuroscience, 9 papers in Molecular Biology and 6 papers in Pharmacology. Recurrent topics in Fleur Gaudette's work include Neuroscience and Neuropharmacology Research (11 papers), Receptor Mechanisms and Signaling (7 papers) and Neurotransmitter Receptor Influence on Behavior (5 papers). Fleur Gaudette is often cited by papers focused on Neuroscience and Neuropharmacology Research (11 papers), Receptor Mechanisms and Signaling (7 papers) and Neurotransmitter Receptor Influence on Behavior (5 papers). Fleur Gaudette collaborates with scholars based in Canada, United States and Switzerland. Fleur Gaudette's co-authors include Francis Beaudry, Véronique Michaud, Philippe Huot, Dominique Bédard, Jacques Turgeon, Adjia Hamadjida, Stephen G. Nuara, Jim C. Gourdon, Cynthia Kwan and Imane Frouni and has published in prestigious journals such as International Journal of Molecular Sciences, Journal of Pharmacology and Experimental Therapeutics and Experimental Brain Research.

In The Last Decade

Fleur Gaudette

27 papers receiving 326 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Fleur Gaudette	159	80	73	72	37	28	330
Gustav Apelqvist	100 0.6×	52 0.7×	54 0.7×	43 0.6×	48 1.3×	29	351
M. J. Cano‐Cebrián	120 0.8×	26 0.3×	17 0.2×	100 1.4×	41 1.1×	21	360
María Daniela Santi	75 0.5×	25 0.3×	49 0.7×	108 1.5×	21 0.6×	33	355
Izaak den Daas	136 0.9×	44 0.6×	22 0.3×	171 2.4×	12 0.3×	21	364
W. Heptner	98 0.6×	15 0.2×	42 0.6×	84 1.2×	21 0.6×	35	333
Vikash Sinha	82 0.5×	18 0.2×	24 0.3×	108 1.5×	81 2.2×	18	328
Soichi Itoh	108 0.7×	28 0.3×	16 0.2×	108 1.5×	18 0.5×	28	360
Luc Wouters	62 0.4×	72 0.9×	11 0.2×	101 1.4×	17 0.5×	18	332
Robert J. Borgman	93 0.6×	31 0.4×	45 0.6×	89 1.2×	19 0.5×	18	319
Dag Nilsson	85 0.5×	164 2.0×	11 0.2×	25 0.3×	58 1.6×	19	341

Countries citing papers authored by Fleur Gaudette

Since Specialization

Citations

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

Fields of papers citing papers by Fleur Gaudette

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fleur Gaudette

This figure shows the co-authorship network connecting the top 25 collaborators of Fleur Gaudette. A scholar is included among the top collaborators of Fleur Gaudette based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Fleur Gaudette. Fleur Gaudette is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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