Jérôme Deval
Impact in
- Virology top 5%
- HIV Research and Treatment
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- HIV/AIDS drug development and treatment
- COVID-19 Clinical Research Studies
Papers in
-
- Hepatitis C virus research 8
-
- HIV/AIDS drug development and treatment 7
- SARS-CoV-2 and COVID-19 Research 4
- Co-authors
- Julian A. Symons (7 shared papers)Shuvam Mohan Chaudhuri (3 shared papers)Bruno Canard (3 shared papers)Matthias Götte (1 shared paper)Dirk Jochmans (1 shared paper)Karine Alvarez (2 shared papers)Tania Ivens (1 shared paper)Piet B. T. P. Wigerinck (1 shared paper)
- Journals
- Journal of Medicinal Chemistry (5 papers)Antiviral Research (3 papers)Journal of Hepatology (3 papers)ACS Chemical Biology (1 paper)mBio (1 paper)
- Partner nations
- United StatesBelgiumChina
In The Last Decade
Jérôme Deval
19 papers receiving 673 citations
Jérôme Deval's Hit Papers
Peers
Comparison fields: 5 of 65
- Virology 126
- Infectious Diseases 400
- Hepatology 54
- Computational Theory and Mathematics 121
- Epidemiology 174
Countries citing papers authored by Jérôme Deval
This map shows the geographic impact of Jérôme Deval'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 Jérôme Deval with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jérôme Deval more than expected).
Fields of papers citing papers by Jérôme Deval
This network shows the impact of papers produced by Jérôme Deval. 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 Jérôme Deval. The network helps show where Jérôme Deval may publish in the future.
Co-authors
The 25 scholars most cited alongside Jérôme Deval, 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 | 2018 | 167 | |
| 2 | The Substitutions L50F, E166A, and L167F in SARS-CoV-2 3CLpro Are Selected by a Protease Inhibitor In Vitro and Confer Resistance To Nirmatrelvir Hit paper breakdown → | 2023 | 121 |
| 3 | 2006 | 84 | |
| 4 | 2021 | 50 | |
| 5 | 2017 | 42 | |
| 6 | 2019 | 40 | |
| 7 | 2010 | 38 | |
| 8 | 2004 | 34 | |
| 9 | 2021 | 33 | |
| 10 | 2020 | 25 | |
| 11 | 2016 | 15 | |
| 12 | 2024 | 12 | |
| 13 | 2024 | 12 | |
| 14 | 2008 | 11 | |
| 15 | 2005 | 5 | |
| 16 | 2020 | 4 | |
| 17 | 2013 | 3 | |
| 18 | 2022 | 2 | |
| 19 | 2025 | 1 |
About Jérôme Deval
Jérôme Deval is a scholar working on Hepatology, Infectious Diseases, Virology, Epidemiology and Computational Theory and Mathematics, having authored 19 papers that have together received 699 indexed citations. Recurring topics across this work include Hepatitis C virus research (8 papers), HIV/AIDS drug development and treatment (7 papers), Biochemical and Molecular Research (5 papers), Hepatitis B Virus Studies (4 papers), SARS-CoV-2 and COVID-19 Research (4 papers), HIV Research and Treatment (4 papers), Computational Drug Discovery Methods (3 papers) and interferon and immune responses (2 papers). The work is most often cited by research in Virology (126 citations), Infectious Diseases (400 citations), Hepatology (54 citations), Computational Theory and Mathematics (121 citations) and Epidemiology (174 citations). Jérôme Deval has collaborated with scholars based in United States, Belgium and China. Frequent co-authors include Julian A. Symons, Shuvam Mohan Chaudhuri, Bruno Canard, Matthias Götte, Dirk Jochmans, Karine Alvarez, Tania Ivens, Piet B. T. P. Wigerinck, Marcia Van Ginderen and Pascale Dehertogh. Their work appears in journals such as Journal of Medicinal Chemistry, Antiviral Research, Journal of Hepatology, ACS Chemical Biology and mBio.
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.