Yannick Galipeau
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
Papers in
-
- SARS-CoV-2 and COVID-19 Research 23
- COVID-19 Clinical Research Studies 16
- SARS-CoV-2 detection and testing 5
-
- COVID-19 epidemiological studies 3
- Co-authors
- Marc‐André LangloisMatthew GreigChaojie LiuCurtis CooperYves DurocherJulian LittleMichaeline McGuintyÉric Boilard
- Journals
- Frontiers in Immunology (4 papers)BMJ Open (2 papers)CMAJ Open (2 papers)Frontiers in Public Health (2 papers)Vaccines (2 papers)
- Partner nations
- CanadaUnited StatesFrance
In The Last Decade
Yannick Galipeau
23 papers receiving 337 citations
Peers
Comparison fields: 5 of 61
- Infectious Diseases 270
- Modeling and Simulation 35
- Neurology 36
- Animal Science and Zoology 21
- Obstetrics and Gynecology 16
Countries citing papers authored by Yannick Galipeau
This map shows the geographic impact of Yannick Galipeau'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 Yannick Galipeau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yannick Galipeau more than expected).
Fields of papers citing papers by Yannick Galipeau
This network shows the impact of papers produced by Yannick Galipeau. 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 Yannick Galipeau. The network helps show where Yannick Galipeau may publish in the future.
Co-authors
The 25 scholars most cited alongside Yannick Galipeau, 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 | 0 | |
| 3 | 2025 | 4 | |
| 4 | 2025 | 2 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 3 | |
| 8 | 2024 | 0 | |
| 9 | 2024 | 2 | |
| 10 | 2023 | 2 | |
| 11 | 2023 | 5 | |
| 12 | 2023 | 2 | |
| 13 | 2022 | 17 | |
| 14 | 2022 | 40 | |
| 15 | 2022 | 17 | |
| 16 | 2022 | 1 | |
| 17 | 2022 | 1 | |
| 18 | 2022 | 8 | |
| 19 | 2022 | 9 | |
| 20 | 2020 | 160 |
About Yannick Galipeau
Yannick Galipeau is a scholar working on Infectious Diseases, Modeling and Simulation, Neurology, Animal Science and Zoology and Obstetrics and Gynecology, having authored 26 papers that have together received 340 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (23 papers), COVID-19 Clinical Research Studies (16 papers), SARS-CoV-2 detection and testing (5 papers), Long-Term Effects of COVID-19 (5 papers), COVID-19 epidemiological studies (3 papers), Animal Virus Infections Studies (3 papers), COVID-19 and Mental Health (2 papers) and Respiratory viral infections research (2 papers). The work is most often cited by research in Infectious Diseases (270 citations), Modeling and Simulation (35 citations), Neurology (36 citations), Animal Science and Zoology (21 citations) and Obstetrics and Gynecology (16 citations). Yannick Galipeau has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Marc‐André Langlois, Matthew Greig, Chaojie Liu, Curtis Cooper, Yves Durocher, Julian Little, Michaeline McGuinty, Éric Boilard, Angela M. Crawley and Alisa S. Wolberg. Their work appears in journals such as Frontiers in Immunology, BMJ Open, CMAJ Open, Frontiers in Public Health and Vaccines.
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.