Marc Messier-Peet

516 total citations
8 papers, 88 citations indexed

About

Marc Messier-Peet is a scholar working on Epidemiology, Infectious Diseases and Sociology and Political Science. According to data from OpenAlex, Marc Messier-Peet has authored 8 papers receiving a total of 88 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Epidemiology, 5 papers in Infectious Diseases and 4 papers in Sociology and Political Science. Recurrent topics in Marc Messier-Peet's work include HIV, Drug Use, Sexual Risk (5 papers), HIV/AIDS Research and Interventions (5 papers) and Sex work and related issues (4 papers). Marc Messier-Peet is often cited by papers focused on HIV, Drug Use, Sexual Risk (5 papers), HIV/AIDS Research and Interventions (5 papers) and Sex work and related issues (4 papers). Marc Messier-Peet collaborates with scholars based in Canada, United Kingdom and United States. Marc Messier-Peet's co-authors include David Moore, Gilles Lambert, Nathan J. Lachowsky, Joseph Cox, Daniel Grace, Trevor Hart, Herak Apelian, Jody Jollimore, Mathieu Maheu‐Giroux and Erica E. M. Moodie and has published in prestigious journals such as American Journal of Epidemiology, Viruses and EBioMedicine.

In The Last Decade

Marc Messier-Peet

8 papers receiving 88 citations

Peers

Marc Messier-Peet

ID

EPIDE

SPS

SP

GHP

Erin Ogilvie Australia

Jeremy Chow United States

Orlando Montoya Ecuador

Sophie Nash United Kingdom

Brian Price United States

Oskar Ayerdi Spain

Ephrem Mensah France

Barbara Gunsenheimer‐Bartmeyer Germany

Alexandre Aslan France

Amanda Long United States

Erin Ogilvie Australia

Marc Messier-Peet

47 ×0.7

ID

37 ×0.6

EPIDE

28 ×0.7

SPS

6 ×0.3

SP

8 ×0.8

GHP

Citations per year, relative to Marc Messier-Peet Marc Messier-Peet (= 1×) peers Erin Ogilvie

Countries citing papers authored by Marc Messier-Peet

Since Specialization

Citations

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

Fields of papers citing papers by Marc Messier-Peet

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marc Messier-Peet

This figure shows the co-authorship network connecting the top 25 collaborators of Marc Messier-Peet. A scholar is included among the top collaborators of Marc Messier-Peet 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 Marc Messier-Peet. Marc Messier-Peet is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

1.

Benlarbi, Mehdi, Jonathan Richard, Catherine Bourassa, et al.. (2025). CD4 T cell counts are inversely correlated with anti-gp120 cluster A antibodies in antiretroviral therapy-treated PLWH. EBioMedicine. 118. 105856–105856. 1 indexed citations

2.

Bouassa, Ralph‐Sydney Mboumba, Cristoforo Silvestri, Madéleine Durand, et al.. (2024). Plasma endocannabinoidome and fecal microbiota interplay in people with HIV and subclinical coronary artery disease: Results from the Canadian HIV and Aging Cohort Study. iScience. 27(8). 110456–110456. 2 indexed citations

3.

Dupuy, Franck P., Marc Messier-Peet, Madéleine Durand, et al.. (2023). The Frequency and Function of NKG2C+CD57+ Adaptive NK Cells in Cytomagalovirus Co-Infected People Living with HIV Decline with Duration of Antiretroviral Therapy. Viruses. 15(2). 323–323. 2 indexed citations

4.

Cox, Joseph, Herak Apelian, Erica E. M. Moodie, et al.. (2021). Use of HIV pre-exposure prophylaxis among urban Canadian gay, bisexual and other men who have sex with men: a cross-sectional analysis of the Engage cohort study. CMAJ Open. 9(2). E529–E538. 47 indexed citations

5.

Apelian, Herak, Annie‐Claude Labbé, Joseph Cox, et al.. (2021). Community-Based Prevalence Estimates of Chlamydia trachomatis and Neisseria gonorrhoeae Infections Among Gay, Bisexual, and Other Men Who Have Sex With Men in Montréal, Canada. Sexually Transmitted Diseases. 48(12). 939–944. 8 indexed citations

6.

Doyle, Carla M., Mathieu Maheu‐Giroux, Gilles Lambert, et al.. (2020). Combination HIV Prevention Strategies Among Montreal Gay, Bisexual, and Other Men Who Have Sex with Men in the PrEP Era: A Latent Class Analysis. AIDS and Behavior. 25(1). 269–283. 18 indexed citations

7.

Wang, Linwei, Gilles Lambert, Daniel Grace, et al.. (2019). Population-Level Sexual Mixing According to HIV Status and Preexposure Prophylaxis Use Among Men Who Have Sex With Men in Montreal, Canada: Implications for HIV Prevention. American Journal of Epidemiology. 189(1). 44–54. 9 indexed citations

8.

Armstrong, Heather L., Marc Messier-Peet, Herak Apelian, et al.. (2019). P503 Trends in awareness and use of PrEP among HIV-negative men who have sex with men in vancouver, toronto, and montreal. Poster presentations. A231.2–A232. 1 indexed citations

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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