Mathieu Coutu

1.2k citations
17 papers · 775 · h-index 14

Impact in

  • Virology top 1%
    • HIV Research and Treatment
  • Immunology top 5%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology

Papers in

    • HIV Research and Treatment 16
    • Immune Cell Function and Interaction 9
    • T-cell and B-cell Immunology 2

Mathieu Coutu

17 papers receiving 772 citations

Peers

Mathieu Coutu
Comparison fields: 5 of 37
  • Virology 692
  • Immunology 441
  • Infectious Diseases 226
  • Radiology, Nuclear Medicine and Imaging 152
  • Epidemiology 82
Replace Maxime Veillette with:
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Nicole L. Yates United States
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Mathieu Coutu relative to Maxime Veillette Canada Maxime Veillette's profile →
Citations per field
00.5×1.5×
Maxime Veillette · 1×
Citations per year

Countries citing papers authored by Mathieu Coutu

Since Specialization
Citations

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

Fields of papers citing papers by Mathieu Coutu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2013203
2 2014149
3 201558
4 201458
5 201557
6 201241
7 201736
8 201735
9 201433
10 201727
11 201520
12 201616
13 201715
14 201613
15 20146
16 20245
17 20163

About Mathieu Coutu

Mathieu Coutu is a scholar working on Virology, Immunology, Infectious Diseases, Molecular Biology and Cellular and Molecular Neuroscience, having authored 17 papers that have together received 775 indexed citations. Recurring topics across this work include HIV Research and Treatment (16 papers), Immune Cell Function and Interaction (9 papers), HIV/AIDS drug development and treatment (8 papers), Glycosylation and Glycoproteins Research (2 papers), T-cell and B-cell Immunology (2 papers), Axon Guidance and Neuronal Signaling (1 paper), Cancer Cells and Metastasis (1 paper) and Monoclonal and Polyclonal Antibodies Research (1 paper). The work is most often cited by research in Virology (692 citations), Immunology (441 citations), Infectious Diseases (226 citations), Radiology, Nuclear Medicine and Imaging (152 citations) and Epidemiology (82 citations). Mathieu Coutu has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Andrés Finzi, Maxime Veillette, Daniel E. Kaufmann, Jonathan Richard, Michel Roger, Joseph Sodroski, Anik Désormeaux, Beatrice H. Hahn, Mattia Bonsignori and Nicole F. Bernard. Their work appears in journals such as Journal of Virology, Journal of Visualized Experiments, EBioMedicine, mSphere and Molecular Cancer Therapeutics.

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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