Raphaël Darteil
- Epidemiology top 10%
- Hepatitis B Virus Studies 3
- Liver Disease Diagnosis and Treatment 2
- Biotechnology top 10%
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- Drug Transport and Resistance Mechanisms 7
- Hepatology top 10%
- Hepatitis C virus research 3
- Animal Science and Zoology top 10%
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- Virus-based gene therapy research 5
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- Peroxisome Proliferator-Activated Receptors 5
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- Cholesterol and Lipid Metabolism 3
- Lipoproteins and Cardiovascular Health 2
- Co-authors
- Jean-Christophe AudonnetMichel RivièreBart StaelsDean W. HumAudrey SirventMichel BublotJean‐Charles FruchartMickaël Bettan
- Cited by
- EpidemiologyBiotechnologyOncology
- Journals
- Journal of Hepatology (4 papers)Molecular Therapy (3 papers)Journal of Lipid Research (1 paper)
- Partner nations
- FranceJapanUnited States
In The Last Decade
Raphaël Darteil
19 papers receiving 646 citations
Peers
Comparison fields: 5 of 72
- Epidemiology 317
- Biotechnology 73
- Oncology 190
- Hepatology 55
- Animal Science and Zoology 68
Countries citing papers authored by Raphaël Darteil
This map shows the geographic impact of Raphaël Darteil'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 Raphaël Darteil with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raphaël Darteil more than expected).
Fields of papers citing papers by Raphaël Darteil
This network shows the impact of papers produced by Raphaël Darteil. 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 Raphaël Darteil. The network helps show where Raphaël Darteil may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Raphaël Darteil, 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 | 1 | |
| 2 | 2022 | 73 | |
| 3 | 2022 | 1 | |
| 4 | 2021 | 34 | |
| 5 | 2020 | 1 | |
| 6 | 2016 | 1 | |
| 7 | 2013 | 12 | |
| 8 | 2011 | 1 | |
| 9 | 2008 | 65 | |
| 10 | 2007 | 16 | |
| 11 | 2004 | 89 | |
| 12 | 2004 | 42 | |
| 13 | 2004 | 16 | |
| 14 | 2002 | 4 | |
| 15 | 2000 | 96 | |
| 16 | 1999 | 21 | |
| 17 | 1995 | 133 | |
| 18 | 1995 | 35 | |
| 19 | 1993 | 35 |
About Raphaël Darteil
Raphaël Darteil is a scholar working on Hepatology, Oncology, Genetics, Epidemiology and Animal Science and Zoology, having authored 19 papers that have together received 676 indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (7 papers), Virus-based gene therapy research (5 papers), Peroxisome Proliferator-Activated Receptors (5 papers), Cholesterol and Lipid Metabolism (3 papers), Hepatitis B Virus Studies (3 papers), Hepatitis C virus research (3 papers), Liver Disease Diagnosis and Treatment (2 papers) and Lipoproteins and Cardiovascular Health (2 papers). The work is most often cited by research in Epidemiology (317 citations), Biotechnology (73 citations), Oncology (190 citations), Hepatology (55 citations) and Animal Science and Zoology (68 citations). Raphaël Darteil has collaborated with scholars based in France, Japan and United States. Frequent co-authors include Jean-Christophe Audonnet, Michel Rivière, Bart Staels, Dean W. Hum, Audrey Sirvent, Michel Bublot, Jean‐Charles Fruchart, Mickaël Bettan, Daniel Scherman and V. P. Kosykh. Their work appears in journals such as Journal of Hepatology, Molecular Therapy, Journal of Lipid Research, JHEP Reports and Journal of General Virology.
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.