Dimitri Lavillette
Impact in
- Hepatology top 0.2%
- Hepatitis C virus research
- Virology top 1%
- HIV Research and Treatment
Papers in
- Hepatology 34
- Hepatitis C virus research 34
- Virology 14
- HIV Research and Treatment 14
- Co-authors
- François–Loïc CossetBirke BartoschFrançois MalletMarlène DreuxDavid KabatStephen J. RussellEve‐Isabelle PécheurBertrand Boson
- Journals
- Journal of Virology (18 papers)Journal of Biological Chemistry (10 papers)PLoS Pathogens (7 papers)Hepatology (4 papers)PLoS ONE (3 papers)
- Partner nations
- FranceChinaUnited States
In The Last Decade
Dimitri Lavillette
74 papers receiving 5.1k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Hepatology 2.2k
- Virology 625
- Epidemiology 2.2k
- Infectious Diseases 929
- Radiology, Nuclear Medicine and Imaging 893
Countries citing papers authored by Dimitri Lavillette
This map shows the geographic impact of Dimitri Lavillette'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 Dimitri Lavillette with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dimitri Lavillette more than expected).
Fields of papers citing papers by Dimitri Lavillette
This network shows the impact of papers produced by Dimitri Lavillette. 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 Dimitri Lavillette. The network helps show where Dimitri Lavillette may publish in the future.
Co-authors
The 25 scholars most cited alongside Dimitri Lavillette, 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 | 2023 | 25 | |
| 2 | 2023 | 4 | |
| 3 | 2022 | 7 | |
| 4 | 2021 | 6 | |
| 5 | 2020 | 204 | |
| 6 | 2019 | 12 | |
| 7 | 2015 | 34 | |
| 8 | 2014 | 6 | |
| 9 | 2013 | 74 | |
| 10 | 2013 | 37 | |
| 11 | 2012 | 76 | |
| 12 | 2012 | 85 | |
| 13 | 2011 | 106 | |
| 14 | 2011 | 69 | |
| 15 | 2009 | 5 | |
| 16 | 2009 | 27 | |
| 17 | 2008 | 12 | |
| 18 | 2007 | 78 | |
| 19 | 2006 | 177 | |
| 20 | 2005 | 69 |
About Dimitri Lavillette
Dimitri Lavillette is a scholar working on Hepatology, Virology, Microbiology, Infectious Diseases and Epidemiology, having authored 74 papers that have together received 5.2k indexed citations. Recurring topics across this work include Hepatitis C virus research (34 papers), Hepatitis B Virus Studies (24 papers), HIV Research and Treatment (14 papers), Monoclonal and Polyclonal Antibodies Research (13 papers), Virus-based gene therapy research (12 papers), SARS-CoV-2 and COVID-19 Research (11 papers), Liver Disease Diagnosis and Treatment (9 papers) and Animal Virus Infections Studies (7 papers). The work is most often cited by research in Hepatology (2.2k citations), Virology (625 citations), Epidemiology (2.2k citations), Infectious Diseases (929 citations) and Radiology, Nuclear Medicine and Imaging (893 citations). Dimitri Lavillette has collaborated with scholars based in France, China and United States. Frequent co-authors include François–Loïc Cosset, Birke Bartosch, François Mallet, Marlène Dreux, David Kabat, Stephen J. Russell, Eve‐Isabelle Pécheur, Bertrand Boson, Jean-Luc Blond and Valérie Cheynet. Their work appears in journals such as Journal of Virology, Journal of Biological Chemistry, PLoS Pathogens, Hepatology and PLoS ONE.
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.