Marc Brisson

14.6k citations
138 papers · 7.3k · h-index 49

Impact in

  • Epidemiology top 0.1%
    • Cervical Cancer and HPV Research
    • Herpesvirus Infections and Treatments
    • Hepatitis B Virus Studies
    • Bartonella species infections research

Papers in

    • Cervical Cancer and HPV Research 75
    • Herpesvirus Infections and Treatments 25
    • Hepatitis B Virus Studies 14
    • Vaccine Coverage and Hesitancy 16

Marc Brisson

137 papers receiving 7.0k citations

Peers

Marc Brisson
Comparison fields: 5 of 146
  • Epidemiology 5.3k
  • Parasitology 529
  • Health 606
  • Microbiology 360
  • Modeling and Simulation 252
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Citations per field
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Citations per year

Countries citing papers authored by Marc Brisson

Since Specialization
Citations

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

Fields of papers citing papers by Marc Brisson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Marc Brisson, 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 Marc Brisson Line = papers co-authored together Marc Brisson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 138 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001366
2 2012322
3 2002284
4 2010236
5 2000221
6 2003203
7 2014194
8 2001170
9 2012160
10 2007145
11 2003129
12 2007122
13 2018118
14 2012113
15 2011112
16 2012112
17 2003110
18 2010105
19 2008105
20 2003101

About Marc Brisson

Marc Brisson is a scholar working on Epidemiology, Health, Infectious Diseases, Animal Science and Zoology and Parasitology, having authored 138 papers that have together received 7.3k indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (75 papers), Herpesvirus Infections and Treatments (25 papers), Vaccine Coverage and Hesitancy (16 papers), Hepatitis B Virus Studies (14 papers), Animal Virus Infections Studies (7 papers), COVID-19 epidemiological studies (6 papers), Vector-borne infectious diseases (6 papers) and SARS-CoV-2 and COVID-19 Research (5 papers). The work is most often cited by research in Epidemiology (5.3k citations), Parasitology (529 citations), Health (606 citations), Microbiology (360 citations) and Modeling and Simulation (252 citations). Marc Brisson has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include W. John Edmunds, Mélanie Drolet, Marie‐Claude Boily, Mark Jit, W. John Edmunds, Jean‐François Laprise, Nicolas Van de Velde, Gaston De Serres, Eduardo L. Franco and Nigel Gay. Their work appears in journals such as Vaccine, Canadian Medical Association Journal, Sexually Transmitted Diseases, The Lancet Infectious Diseases and International Journal of Cancer.

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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