Marie-Hélène Cavanagh

8 total papers · 457 total citations
7 papers, 355 citations indexed

About

Marie-Hélène Cavanagh is a scholar working on Epidemiology, Infectious Diseases and Surgery. According to data from OpenAlex, Marie-Hélène Cavanagh has authored 7 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Epidemiology, 3 papers in Infectious Diseases and 3 papers in Surgery. Recurrent topics in Marie-Hélène Cavanagh's work include Respiratory viral infections research (4 papers), Vector-Borne Animal Diseases (2 papers) and Viral gastroenteritis research and epidemiology (2 papers). Marie-Hélène Cavanagh is often cited by papers focused on Respiratory viral infections research (4 papers), Vector-Borne Animal Diseases (2 papers) and Viral gastroenteritis research and epidemiology (2 papers). Marie-Hélène Cavanagh collaborates with scholars based in Canada, France and United States. Marie-Hélène Cavanagh's co-authors include Jean-Michel Mesnard, Benoı̂t Barbeau, Patrick Hivin, Jennifer K. Nyborg, Nicholas Polakowski, Matthew R. Lewis, Isabelle Lemasson, Sabine Thébault, Marie‐Ève Paré and Susan J. Marriott and has published in prestigious journals such as PLoS ONE, Journal of Virology and PLoS Pathogens.

In The Last Decade

Marie-Hélène Cavanagh

7 papers receiving 352 citations

Author Peers

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

Author Last Decade Papers Cites
Marie-Hélène Cavanagh 273 229 220 61 50 7 355
Natasa Arsic 177 0.6× 134 0.6× 88 0.4× 102 1.7× 54 1.1× 15 316
S M Pettiford 256 0.9× 167 0.7× 174 0.8× 36 0.6× 145 2.9× 9 401
F. Pelloquin 216 0.8× 177 0.8× 160 0.7× 64 1.0× 65 1.3× 9 387
Mikio Ikeda 245 0.9× 202 0.9× 174 0.8× 76 1.2× 15 0.3× 13 399
Rie Furuta 278 1.0× 197 0.9× 192 0.9× 19 0.3× 77 1.5× 10 363
BRIAN HJELLE 261 1.0× 219 1.0× 196 0.9× 37 0.6× 21 0.4× 9 350
Claire Guillerm 197 0.7× 118 0.5× 123 0.6× 21 0.3× 110 2.2× 7 372
Beverly Cranston 308 1.1× 224 1.0× 199 0.9× 59 1.0× 15 0.3× 12 395
Takenori Toyama 285 1.0× 218 1.0× 198 0.9× 48 0.8× 9 0.2× 10 356
Jane Turner 118 0.4× 108 0.5× 57 0.3× 40 0.7× 68 1.4× 7 341

Countries citing papers authored by Marie-Hélène Cavanagh

Since Specialization
Citations

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

Fields of papers citing papers by Marie-Hélène Cavanagh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marie-Hélène Cavanagh. 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 Marie-Hélène Cavanagh. The network helps show where Marie-Hélène Cavanagh may publish in the future.

Co-authorship network of co-authors of Marie-Hélène Cavanagh

This figure shows the co-authorship network connecting the top 25 collaborators of Marie-Hélène Cavanagh. A scholar is included among the top collaborators of Marie-Hélène Cavanagh 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 Marie-Hélène Cavanagh. Marie-Hélène Cavanagh 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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