Philippe Lemey
Impact in
- Virology top 0.1%
- HIV Research and Treatment
- Infectious Diseases top 0.05%
- Viral gastroenteritis research and epidemiology
- SARS-CoV-2 and COVID-19 Research
- Viral Infections and Vectors
Papers in
- Virology 86
- HIV Research and Treatment 67
-
- Viral gastroenteritis research and epidemiology 31
- Viral Infections and Vectors 30
- Co-authors
- Marc A. SuchardAndrew RambautGuy BaeleAlexei J. DrummondAnne–Mieke VandammeDaniel L. AyresOliver G. PybusDarren P. Martin
- Journals
- Virus Evolution (23 papers)Journal of Virology (21 papers)Molecular Biology and Evolution (19 papers)PLoS Pathogens (14 papers)Bioinformatics (12 papers)
- Partner nations
- BelgiumUnited StatesUnited Kingdom
In The Last Decade
Philippe Lemey
299 papers receiving 21.9k citations
Hit Papers
Peers
Comparison fields: 5 of 194
- Virology 3.3k
- Infectious Diseases 8.9k
- Animal Science and Zoology 2.5k
- Modeling and Simulation 1.1k
- Agronomy and Crop Science 1.9k
Countries citing papers authored by Philippe Lemey
This map shows the geographic impact of Philippe Lemey'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 Philippe Lemey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philippe Lemey more than expected).
Fields of papers citing papers by Philippe Lemey
This network shows the impact of papers produced by Philippe Lemey. 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 Philippe Lemey. The network helps show where Philippe Lemey may publish in the future.
Co-authors
The 25 scholars most cited alongside Philippe Lemey, 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 | 8 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 9 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 34 | |
| 7 | 2022 | 16 | |
| 8 | 2022 | 9 | |
| 9 | 2022 | 10 | |
| 10 | 2022 | 4 | |
| 11 | 2020 | 75 | |
| 12 | 2020 | 234 | |
| 13 | 2020 | 15 | |
| 14 | 2019 | 30 | |
| 15 | 2019 | 16 | |
| 16 | 2018 | 35 | |
| 17 | 2015 | 3 | |
| 18 | The early spread and epidemic ignition of HIV-1 in human populations Hit paper breakdown → | 2014 | 406 |
| 19 | 2007 | 68 | |
| 20 | 2004 | 87 |
About Philippe Lemey
Philippe Lemey is a scholar working on Virology, Infectious Diseases, Hepatology, Modeling and Simulation and Paleontology, having authored 307 papers that have together received 22.3k indexed citations. Recurring topics across this work include HIV Research and Treatment (67 papers), Genomics and Phylogenetic Studies (64 papers), Genetic diversity and population structure (40 papers), Influenza Virus Research Studies (32 papers), Viral gastroenteritis research and epidemiology (31 papers), Viral Infections and Vectors (30 papers), Evolution and Genetic Dynamics (30 papers) and Hepatitis C virus research (29 papers). The work is most often cited by research in Virology (3.3k citations), Infectious Diseases (8.9k citations), Animal Science and Zoology (2.5k citations), Modeling and Simulation (1.1k citations) and Agronomy and Crop Science (1.9k citations). Philippe Lemey has collaborated with scholars based in Belgium, United States and United Kingdom. Frequent co-authors include Marc A. Suchard, Andrew Rambaut, Guy Baele, Alexei J. Drummond, Anne–Mieke Vandamme, Daniel L. Ayres, Oliver G. Pybus, Darren P. Martin, Marc Van Ranst and David Posada. Their work appears in journals such as Virus Evolution, Journal of Virology, Molecular Biology and Evolution, PLoS Pathogens and Bioinformatics.
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.