Jérôme Deval
Impact in
- Virology top 5%
- HIV Research and Treatment
- Infectious Diseases top 5%
- HIV/AIDS drug development and treatment
- SARS-CoV-2 and COVID-19 Research
- HIV/AIDS Research and Interventions
Papers in
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- HIV/AIDS drug development and treatment 5
-
- Biochemical and Molecular Research 5
- Co-authors
- Julian Symons (8 shared papers)Shuvam Chaudhuri (3 shared papers)Bruno Canard (3 shared papers)Tania Ivens (1 shared paper)Pascale Dehertogh (1 shared paper)Marcia Van Ginderen (1 shared paper)Maryam Ehteshami (1 shared paper)Herwig Van Marck (1 shared paper)
- Journals
- Journal of Hepatology (4 papers)Antiviral Research (3 papers)ACS Chemical Biology (1 paper)Journal of Virology (1 paper)Antiviral Therapy (1 paper)
- Partner nations
- United StatesFranceSpain
In The Last Decade
Jérôme Deval
13 papers receiving 419 citations
Peers
Comparison fields: 5 of 61
- Virology 117
- Infectious Diseases 232
- Hepatology 33
- Epidemiology 120
- Computational Theory and Mathematics 47
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 | 159 | |
| 2 | 2006 | 82 | |
| 3 | 2021 | 42 | |
| 4 | 2017 | 38 | |
| 5 | 2010 | 34 | |
| 6 | 2004 | 34 | |
| 7 | 2016 | 14 | |
| 8 | 2008 | 11 | |
| 9 | 2005 | 5 | |
| 10 | 2020 | 4 | |
| 11 | 2015 | 3 | |
| 12 | 2013 | 3 | |
| 13 | 2022 | 2 |
About Jérôme Deval
Jérôme Deval is a scholar working on Infectious Diseases, Molecular Biology, Hepatology, Epidemiology and Virology, having authored 13 papers that have together received 431 indexed citations. Recurring topics across this work include Hepatitis C virus research (6 papers), HIV/AIDS drug development and treatment (5 papers), Biochemical and Molecular Research (5 papers), HIV Research and Treatment (4 papers), Hepatitis B Virus Studies (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Viral Infections and Immunology Research (2 papers) and Pneumocystis jirovecii pneumonia detection and treatment (1 paper). The work is most often cited by research in Virology (117 citations), Infectious Diseases (232 citations), Hepatology (33 citations), Epidemiology (120 citations) and Computational Theory and Mathematics (47 citations). Jérôme Deval has collaborated with scholars based in United States, France and Spain. Frequent co-authors include Julian Symons, Shuvam Chaudhuri, Bruno Canard, Tania Ivens, Pascale Dehertogh, Marcia Van Ginderen, Maryam Ehteshami, Herwig Van Marck, Matthias Götte and Dirk Jochmans. Their work appears in journals such as Journal of Hepatology, Antiviral Research, ACS Chemical Biology, Journal of Virology and Antiviral Therapy.
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.