Philippe Leissner
Impact in
- Virology top 5%
- HIV Research and Treatment
- Infectious Diseases top 10%
- Tuberculosis Research and Epidemiology
Papers in
-
- CRISPR and Genetic Engineering 4
- Molecular Biology Techniques and Applications 4
- RNA Interference and Gene Delivery 3
- RNA and protein synthesis mechanisms 3
- Virology 3
- HIV Research and Treatment 3
- Co-authors
- Majid Mehtali (8 shared papers)Alain Puisieux (3 shared papers)Alexander Krause (3 shared papers)Sandrine Valsesia‐Wittmann (2 shared papers)Valérie Combaret (2 shared papers)Didier Négre (2 shared papers)Philippe Emmanuel Mangeot (2 shared papers)Thibault Verjat (5 shared papers)
- Journals
- Gene Therapy (2 papers)AIDS (2 papers)BioTechniques (2 papers)Journal of Virology (2 papers)Nature Communications (2 papers)
- Partner nations
- FranceUnited KingdomUnited States
In The Last Decade
Philippe Leissner
35 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 96
- Virology 146
- Infectious Diseases 304
- Immunology 292
- Oncology 276
- Genetics 297
Countries citing papers authored by Philippe Leissner
This map shows the geographic impact of Philippe Leissner'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 Leissner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philippe Leissner more than expected).
Fields of papers citing papers by Philippe Leissner
This network shows the impact of papers produced by Philippe Leissner. 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 Leissner. The network helps show where Philippe Leissner may publish in the future.
Co-authors
The 25 scholars most cited alongside Philippe Leissner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 212 | |
| 2 | 2008 | 182 | |
| 3 | 2000 | 179 | |
| 4 | 2018 | 167 | |
| 5 | 2000 | 112 | |
| 6 | 2020 | 86 | |
| 7 | 2001 | 84 | |
| 8 | 2016 | 83 | |
| 9 | 2004 | 81 | |
| 10 | 2021 | 62 | |
| 11 | 2021 | 61 | |
| 12 | 2004 | 40 | |
| 13 | 2023 | 31 | |
| 14 | 2021 | 28 | |
| 15 | 2022 | 27 | |
| 16 | 2016 | 22 | |
| 17 | 2006 | 21 | |
| 18 | 2016 | 20 | |
| 19 | 2002 | 20 | |
| 20 | 2019 | 18 |
About Philippe Leissner
Philippe Leissner is a scholar working on Molecular Biology, Virology, Epidemiology, Genetics and Infectious Diseases, having authored 35 papers that have together received 1.7k indexed citations. Recurring topics across this work include Virus-based gene therapy research (6 papers), CRISPR and Genetic Engineering (4 papers), Molecular Biology Techniques and Applications (4 papers), Mycobacterium research and diagnosis (3 papers), HIV Research and Treatment (3 papers), RNA Interference and Gene Delivery (3 papers), RNA and protein synthesis mechanisms (3 papers) and Tuberculosis Research and Epidemiology (2 papers). The work is most often cited by research in Virology (146 citations), Infectious Diseases (304 citations), Immunology (292 citations), Oncology (276 citations) and Genetics (297 citations). Philippe Leissner has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include Majid Mehtali, Alain Puisieux, Alexander Krause, Sandrine Valsesia‐Wittmann, Valérie Combaret, Didier Négre, Philippe Emmanuel Mangeot, Thibault Verjat, Sébastien Dupasquier and Anne-Catherine Jallas. Their work appears in journals such as Gene Therapy, AIDS, BioTechniques, Journal of Virology and Nature Communications.
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.