Dominique Bédard

58 total papers · 792 total citations
44 papers, 462 citations indexed

About

Dominique Bédard is a scholar working on Cellular and Molecular Neuroscience, Neurology and Molecular Biology. According to data from OpenAlex, Dominique Bédard has authored 44 papers receiving a total of 462 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Cellular and Molecular Neuroscience, 15 papers in Neurology and 11 papers in Molecular Biology. Recurrent topics in Dominique Bédard's work include Neuroscience and Neuropharmacology Research (31 papers), Neurotransmitter Receptor Influence on Behavior (14 papers) and Parkinson's Disease Mechanisms and Treatments (14 papers). Dominique Bédard is often cited by papers focused on Neuroscience and Neuropharmacology Research (31 papers), Neurotransmitter Receptor Influence on Behavior (14 papers) and Parkinson's Disease Mechanisms and Treatments (14 papers). Dominique Bédard collaborates with scholars based in Canada, United States and Cameroon. Dominique Bédard's co-authors include Philippe Huot, Adjia Hamadjida, Cynthia Kwan, Stephen G. Nuara, Imane Frouni, Jim C. Gourdon, Francis Beaudry, Fleur Gaudette, Daniel Goulet and Pierre Beauparlant and has published in prestigious journals such as American Journal of Epidemiology, Neuroscience and Experimental Brain Research.

In The Last Decade

Dominique Bédard

43 papers receiving 457 citations

Author Peers

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

Author						Papers	Cites
Dominique Bédard	308	149	97	65	37	44	462
Laurence Had‐Aissouni	254 0.8×	70 0.5×	157 1.6×	29 0.4×	59 1.6×	15	468
Hsiu-Chih Liu	116 0.4×	104 0.7×	113 1.2×	44 0.7×	10 0.3×	24	503
Chalid Ghadban	144 0.5×	42 0.3×	87 0.9×	50 0.8×	11 0.3×	27	452
I‐Hsun Li	148 0.5×	73 0.5×	100 1.0×	44 0.7×	3 0.1×	48	488
Sakiko Nishibayashi	203 0.7×	107 0.7×	182 1.9×	37 0.6×	7 0.2×	21	537
Ante Simonić	174 0.6×	36 0.2×	107 1.1×	26 0.4×	8 0.2×	33	422
Russell W. Hurd	222 0.7×	85 0.6×	179 1.8×	33 0.5×	7 0.2×	22	528
Jonathan Hindmarsh	176 0.6×	183 1.2×	127 1.3×	9 0.1×	13 0.4×	15	411
Bo‐Eun Yoon	226 0.7×	40 0.3×	167 1.7×	59 0.9×	4 0.1×	24	533
Giuseppina Natale	163 0.5×	258 1.7×	138 1.4×	34 0.5×	4 0.1×	19	535

Countries citing papers authored by Dominique Bédard

Since Specialization

Citations

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

Fields of papers citing papers by Dominique Bédard

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dominique Bédard

This figure shows the co-authorship network connecting the top 25 collaborators of Dominique Bédard. A scholar is included among the top collaborators of Dominique Bédard 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 Dominique Bédard. Dominique Bédard 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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