Matthieu Perreau
- Virology top 0.5%
- HIV Research and Treatment 28
- Immunology top 1%
- Immune Cell Function and Interaction 26
- T-cell and B-cell Immunology 17
- Infectious Diseases top 1%
- HIV/AIDS Research and Interventions 10
- Tuberculosis Research and Epidemiology 8
- SARS-CoV-2 and COVID-19 Research 7
- Epidemiology top 2%
- Mycobacterium research and diagnosis 7
- Oncology top 5%
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- Virus-based gene therapy research 7
- Co-authors
- Giuseppe PantaleoRiddhima BangaEric J. KremerJean-Marc CorpatauxAlexandre HarariLaurence de LevalAlessandra NotoRafael Cubas
- Journals
- PLoS Pathogens (8 papers)Journal of Virology (7 papers)Current Opinion in HIV and AIDS (6 papers)
- Partner nations
- SwitzerlandUnited StatesFrance
In The Last Decade
Matthieu Perreau
71 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Virology 1.4k
- Immunology 2.0k
- Infectious Diseases 1.4k
- Epidemiology 1.1k
- Oncology 540
Countries citing papers authored by Matthieu Perreau
This map shows the geographic impact of Matthieu Perreau'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 Matthieu Perreau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthieu Perreau more than expected).
Fields of papers citing papers by Matthieu Perreau
This network shows the impact of papers produced by Matthieu Perreau. 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 Matthieu Perreau. The network helps show where Matthieu Perreau may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Matthieu Perreau, 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 | 1 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 6 | |
| 4 | 2023 | 3 | |
| 5 | 2022 | 16 | |
| 6 | 2021 | 49 | |
| 7 | 2021 | 4 | |
| 8 | 2021 | 68 | |
| 9 | 2021 | 15 | |
| 10 | 2020 | 17 | |
| 11 | 2018 | 33 | |
| 12 | 2018 | 23 | |
| 13 | 2018 | 28 | |
| 14 | 2018 | 20 | |
| 15 | 2017 | 36 | |
| 16 | PD-1+ and follicular helper T cells are responsible for persistent HIV-1 transcription in treated aviremic individualsbreakdown → | 2016 | 350 |
| 17 | 2015 | 49 | |
| 18 | 2009 | 95 | |
| 19 | 2008 | 129 | |
| 20 | 2007 | 28 |
About Matthieu Perreau
Matthieu Perreau is a scholar working on Virology, Infectious Diseases, Immunology, Modeling and Simulation and Epidemiology, having authored 71 papers that have together received 3.8k indexed citations. Recurring topics across this work include HIV Research and Treatment (28 papers), Immune Cell Function and Interaction (26 papers), T-cell and B-cell Immunology (17 papers), HIV/AIDS Research and Interventions (10 papers), Tuberculosis Research and Epidemiology (8 papers), SARS-CoV-2 and COVID-19 Research (7 papers), Virus-based gene therapy research (7 papers) and Mycobacterium research and diagnosis (7 papers). The work is most often cited by research in Virology (1.4k citations), Immunology (2.0k citations), Infectious Diseases (1.4k citations), Epidemiology (1.1k citations) and Oncology (540 citations). Matthieu Perreau has collaborated with scholars based in Switzerland, United States and France. Frequent co-authors include Giuseppe Pantaleo, Riddhima Banga, Eric J. Kremer, Jean-Marc Corpataux, Alexandre Harari, Laurence de Leval, Alessandra Noto, Rafael Cubas, Matthias Cavassini and Selena Viganó. Their work appears in journals such as PLoS Pathogens, Journal of Virology, Current Opinion in HIV and AIDS, Frontiers in Immunology and Nature Medicine.
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.