Aurélie A. Boucher

20 total papers · 735 total citations
11 papers, 594 citations indexed

About

Aurélie A. Boucher is a scholar working on Cellular and Molecular Neuroscience, Pharmacology and Biological Psychiatry. According to data from OpenAlex, Aurélie A. Boucher has authored 11 papers receiving a total of 594 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cellular and Molecular Neuroscience, 5 papers in Pharmacology and 3 papers in Biological Psychiatry. Recurrent topics in Aurélie A. Boucher's work include Cannabis and Cannabinoid Research (5 papers), Neurotransmitter Receptor Influence on Behavior (3 papers) and Tryptophan and brain disorders (3 papers). Aurélie A. Boucher is often cited by papers focused on Cannabis and Cannabinoid Research (5 papers), Neurotransmitter Receptor Influence on Behavior (3 papers) and Tryptophan and brain disorders (3 papers). Aurélie A. Boucher collaborates with scholars based in Australia, France and United States. Aurélie A. Boucher's co-authors include Jonathon C. Arnold, Tim Karl, Iain S. McGregor, Jacques Micheau, Glenn E. Hunt, Liesl Duffy, Peter R. Schofield, Dean S. Carson, Jennifer L. Cornish and Adam J. Guastella and has published in prestigious journals such as PLoS ONE, Neuropsychopharmacology and Schizophrenia Bulletin.

In The Last Decade

Aurélie A. Boucher

11 papers receiving 590 citations

Author Peers

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

Author Last Decade Papers Cites
Aurélie A. Boucher 228 193 119 116 90 11 594
Michael P. Clay 315 1.4× 132 0.7× 67 0.6× 156 1.3× 152 1.7× 11 553
Małgorzata Hołuj 225 1.0× 100 0.5× 133 1.1× 228 2.0× 105 1.2× 21 531
Sabrina Mioranzza 220 1.0× 135 0.7× 51 0.4× 100 0.9× 86 1.0× 16 646
I A Paul 388 1.7× 159 0.8× 50 0.4× 210 1.8× 137 1.5× 8 615
Florence Serres 271 1.2× 71 0.4× 144 1.2× 140 1.2× 85 0.9× 15 528
Jan Kalbitzer 295 1.3× 90 0.5× 55 0.5× 87 0.8× 67 0.7× 16 669
Michelle M. Sidor 145 0.6× 108 0.6× 67 0.6× 72 0.6× 87 1.0× 16 651
Inge E.M. de Jong 286 1.3× 110 0.6× 65 0.5× 159 1.4× 65 0.7× 22 555
Saurav Shrestha 247 1.1× 111 0.6× 68 0.6× 156 1.3× 77 0.9× 20 624
Radka Graf 253 1.1× 122 0.6× 145 1.2× 323 2.8× 19 0.2× 10 647

Countries citing papers authored by Aurélie A. Boucher

Since Specialization
Citations

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

Fields of papers citing papers by Aurélie A. Boucher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aurélie A. Boucher. 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 Aurélie A. Boucher. The network helps show where Aurélie A. Boucher may publish in the future.

Co-authorship network of co-authors of Aurélie A. Boucher

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