Annie Dionne

42 total papers · 839 total citations
17 papers, 225 citations indexed

About

Annie Dionne is a scholar working on Neurology, Physiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Annie Dionne has authored 17 papers receiving a total of 225 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Neurology, 5 papers in Physiology and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Annie Dionne's work include Amyotrophic Lateral Sclerosis Research (8 papers), Parkinson's Disease Mechanisms and Treatments (5 papers) and Neurogenetic and Muscular Disorders Research (3 papers). Annie Dionne is often cited by papers focused on Amyotrophic Lateral Sclerosis Research (8 papers), Parkinson's Disease Mechanisms and Treatments (5 papers) and Neurogenetic and Muscular Disorders Research (3 papers). Annie Dionne collaborates with scholars based in Canada, United States and France. Annie Dionne's co-authors include Michael Nicolle, Angelika F. Hahn, Anthony Parkes, Angela Genge, Sanjay Kalra, Lawrence Korngut, Lorne Zinman, Hannah Briemberg, Langis Michaud and Nicolas Dupré and has published in prestigious journals such as PLoS ONE, Neurology and Scientific Reports.

In The Last Decade

Annie Dionne

17 papers receiving 216 citations

Author Peers

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

Author Last Decade Papers Cites
Annie Dionne 142 82 47 32 32 17 225
W. Meese 101 0.7× 66 0.8× 49 1.0× 19 0.6× 20 0.6× 14 251
Keiko Mizobuchi 196 1.4× 107 1.3× 34 0.7× 52 1.6× 23 0.7× 19 287
M Tsuyumu 106 0.7× 80 1.0× 44 0.9× 27 0.8× 16 0.5× 27 210
Stéphan Grimaldi 178 1.3× 58 0.7× 30 0.6× 26 0.8× 22 0.7× 19 226
Andreas Oldag 135 1.0× 68 0.8× 70 1.5× 27 0.8× 10 0.3× 11 198
Abdullah Ishaque 192 1.4× 41 0.5× 85 1.8× 57 1.8× 41 1.3× 27 315
Robert T. Buckley 112 0.8× 64 0.8× 42 0.9× 23 0.7× 9 0.3× 14 211
T Delangre 98 0.7× 37 0.5× 29 0.6× 32 1.0× 43 1.3× 19 294
Virginia Izura 93 0.7× 51 0.6× 23 0.5× 23 0.7× 54 1.7× 13 210
Hsiang‐Yao Hsieh 124 0.9× 67 0.8× 12 0.3× 25 0.8× 40 1.3× 18 284

Countries citing papers authored by Annie Dionne

Since Specialization
Citations

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

Fields of papers citing papers by Annie Dionne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Annie Dionne

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