Benoı̂t Barbeau

9.9k citations
98 papers · 3.2k · h-index 33

Impact in

Papers in

    • T-cell and Retrovirus Studies 42
    • Immune Cell Function and Interaction 12
    • Galectins and Cancer Biology 7
    • Animal Disease Management and Epidemiology 36

Benoı̂t Barbeau

97 papers receiving 3.2k citations

Peers

Benoı̂t Barbeau
Comparison fields: 5 of 111
  • Virology 540
  • Agronomy and Crop Science 872
  • Immunology 1.8k
  • Obstetrics and Gynecology 375
  • Ecology, Evolution, Behavior and Systematics 809
Replace Simon C.M. Kwok with:
Simon C.M. Kwok United States
Marc Sitbon France
Kuan-Teh Jeang United States
Simone Kashima Brazil
Vincenzo Ciminale Italy
Bryan R.G. Williams Australia
David Allan United Kingdom
Masashi Fukasawa Japan
Shunro Sonoda Japan
Owen Schwartz United States
Benoı̂t Barbeau relative to Simon C.M. Kwok United States Simon C.M. Kwok's profile →
Citations per field
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Simon C.M. Kwok · 1×
Citations per year

Countries citing papers authored by Benoı̂t Barbeau

Since Specialization
Citations

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

Fields of papers citing papers by Benoı̂t Barbeau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Benoı̂t Barbeau, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Benoı̂t Barbeau Line = papers co-authored together Benoı̂t Barbeau links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 98 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018185
2 2014166
3 2009152
4 2006144
5 2006139
6 2008119
7 2012112
8 200796
9 201188
10 199780
11 200479
12 201475
13 200668
14 201067
15 200965
16 201964
17 200755
18 201252
19 199851
20 201149

About Benoı̂t Barbeau

Benoı̂t Barbeau is a scholar working on Immunology, Agronomy and Crop Science, Molecular Biology, Ecology, Evolution, Behavior and Systematics and Virology, having authored 98 papers that have together received 3.2k indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (42 papers), Animal Disease Management and Epidemiology (36 papers), Vector-Borne Animal Diseases (30 papers), HIV Research and Treatment (24 papers), Immune Cell Function and Interaction (12 papers), Galectins and Cancer Biology (7 papers), Pregnancy and preeclampsia studies (7 papers) and RNA Interference and Gene Delivery (6 papers). The work is most often cited by research in Virology (540 citations), Agronomy and Crop Science (872 citations), Immunology (1.8k citations), Obstetrics and Gynecology (375 citations) and Ecology, Evolution, Behavior and Systematics (809 citations). Benoı̂t Barbeau has collaborated with scholars based in Canada, France and United States. Frequent co-authors include Jean-Michel Mesnard, Michel J. Tremblay, Amandine Vargas, Éric Rassart, Sébastien Landry, Jean‐Marie Péloponèse, Julie Lafond, Isabelle Lemasson, Chirine Toufaily and Hélène Gazon. Their work appears in journals such as Journal of Virology, Virology, Retrovirology, Journal of Biological Chemistry and Viruses.

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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