Marc‐André Langlois
- Virology top 1%
- HIV Research and Treatment 15
- Infectious Diseases top 1%
- SARS-CoV-2 and COVID-19 Research 35
- COVID-19 Clinical Research Studies 21
- SARS-CoV-2 detection and testing 9
- Internal Medicine top 5%
- Immunology top 10%
- Immune Cell Function and Interaction 8
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies 7
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- Cytomegalovirus and herpesvirus research 9
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- CRISPR and Genetic Engineering 8
- Co-authors
- Michael S. NeubergerYannick GalipeauSilvestro G. ConticelloTyler M. RennerMatthew GreigKasandra BélangerChaojie LiuJohn J. Rossi
- Journals
- Journal of Virology (6 papers)Frontiers in Immunology (5 papers)Scientific Reports (3 papers)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Marc‐André Langlois
68 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Virology 447
- Infectious Diseases 1.1k
- Internal Medicine 73
- Immunology 394
- Modeling and Simulation 66
Countries citing papers authored by Marc‐André Langlois
This map shows the geographic impact of Marc‐André Langlois'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‐André Langlois with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc‐André Langlois more than expected).
Fields of papers citing papers by Marc‐André Langlois
This network shows the impact of papers produced by Marc‐André Langlois. 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‐André Langlois. The network helps show where Marc‐André Langlois may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Marc‐André Langlois, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 1 | |
| 8 | 2023 | 7 | |
| 9 | 2023 | 2 | |
| 10 | 2023 | 7 | |
| 11 | 2023 | 7 | |
| 12 | 2023 | 5 | |
| 13 | 2023 | 2 | |
| 14 | 2022 | 17 | |
| 15 | 2022 | 40 | |
| 16 | 2020 | 8 | |
| 17 | Platelets Can Associate With SARS-CoV-2 RNA and Are Hyperactivated in COVID-19breakdown → | 2020 | 355 |
| 18 | 2019 | 22 | |
| 19 | 2018 | 0 | |
| 20 | 2013 | 7 |
About Marc‐André Langlois
Marc‐André Langlois is a scholar working on Virology, Infectious Diseases and Modeling and Simulation, having authored 76 papers that have together received 2.2k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (35 papers), COVID-19 Clinical Research Studies (21 papers), HIV Research and Treatment (15 papers), SARS-CoV-2 detection and testing (9 papers), Cytomegalovirus and herpesvirus research (9 papers), CRISPR and Genetic Engineering (8 papers), Immune Cell Function and Interaction (8 papers) and COVID-19 epidemiological studies (7 papers). The work is most often cited by research in Virology (447 citations), Infectious Diseases (1.1k citations) and Internal Medicine (73 citations). Marc‐André Langlois has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Michael S. Neuberger, Yannick Galipeau, Silvestro G. Conticello, Tyler M. Renner, Matthew Greig, Kasandra Bélanger, Chaojie Liu, John J. Rossi, Jack Puymirat and Vera A. Tang. Their work appears in journals such as Journal of Virology, Frontiers in Immunology, Scientific Reports, Viruses and Virology.
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.