Michel Perron
- Virology top 0.1%
- Immunology top 1%
- Epidemiology top 1%
- Infectious Diseases top 0.5%
- Molecular Biology top 10%
- Co-authors
- Joseph SodroskiMatthew StremlauChristopher M. OwensMichael K. KießlingPatrick AutissierByeongwoon SongHassan JavanbakhtMark N. Lee
- Topics
- HIV Research and Treatment (16 papers)Immune Cell Function and Interaction (11 papers)interferon and immune responses (10 papers)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Michel Perron
34 papers receiving 4.6k citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Virology 2.8k
- Immunology 2.0k
- Epidemiology 1.7k
- Infectious Diseases 1.6k
- Molecular Biology 1.1k
Countries citing papers authored by Michel Perron
This map shows the geographic impact of Michel Perron'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 Michel Perron with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michel Perron more than expected).
Fields of papers citing papers by Michel Perron
This network shows the impact of papers produced by Michel Perron. 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 Michel Perron. The network helps show where Michel Perron may publish in the future.
Co-authorship network of co-authors of Michel Perron
This figure shows the co-authorship network connecting the top 25 collaborators of Michel Perron. A scholar is included among the top collaborators of Michel Perron 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 Michel Perron. Michel Perron is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 172 | |
| 2 | 151 | |
| 3 | 20 | |
| 4 | 50 | |
| 5 | 62 | |
| 6 | 27 | |
| 7 | 13 | |
| 8 | 20 | |
| 9 | 60 | |
| 10 | 23 | |
| 11 | 68 | |
| 12 | Specific recognition and accelerated uncoating of retroviral capsids by the TRIM5α restriction factorbreakdown → | 593 |
| 13 | 70 | |
| 14 | 99 | |
| 15 | 0 | |
| 16 | 313 | |
| 17 | The cytoplasmic body component TRIM5α restricts HIV-1 infection in Old World monkeysbreakdown → | 1496 |
| 18 | 24 | |
| 19 | 15 | |
| 20 | 16 |
About Michel Perron
Michel Perron is a scholar working on Virology, Immunology and Infectious Diseases, having authored 36 papers that have together received 4.7k indexed citations. Recurring topics across this work include HIV Research and Treatment (16 papers), Immune Cell Function and Interaction (11 papers) and interferon and immune responses (10 papers). The work is most often cited by research in Virology (2.8k citations), Immunology (2.0k citations) and Infectious Diseases (1.6k citations). Michel Perron has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Joseph Sodroski, Matthew Stremlau, Christopher M. Owens, Michael K. Kießling, Patrick Autissier, Byeongwoon Song, Hassan Javanbakht, Mark N. Lee, Felipe Diaz‐Griffero and Donovan J. Anderson. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.