Dominique Roulot
- Hepatology top 0.1%
- Epidemiology top 0.5%
- Surgery top 5%
- Molecular Biology
- Infectious Diseases top 5%
- Co-authors
- Michel BeaugrandJacob GeorgeMontgomery D. BissellHervé Le ClésiauJean–Claude TrinchetMarianne ZiolVictor KotelianskyD. Montgomery Bissell
- Topics
- Liver Disease Diagnosis and Treatment (61 papers)Hepatitis C virus research (42 papers)Liver Disease and Transplantation (32 papers)
- Cited by
- HepatologyEpidemiologyVirology
- Partner nations
- FranceUnited StatesGermany
In The Last Decade
Dominique Roulot
109 papers receiving 4.8k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Hepatology 3.6k
- Epidemiology 3.6k
- Surgery 825
- Molecular Biology 501
- Infectious Diseases 288
Countries citing papers authored by Dominique Roulot
This map shows the geographic impact of Dominique Roulot'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 Dominique Roulot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dominique Roulot more than expected).
Fields of papers citing papers by Dominique Roulot
This network shows the impact of papers produced by Dominique Roulot. 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 Dominique Roulot. The network helps show where Dominique Roulot may publish in the future.
Co-authorship network of co-authors of Dominique Roulot
This figure shows the co-authorship network connecting the top 25 collaborators of Dominique Roulot. A scholar is included among the top collaborators of Dominique Roulot based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dominique Roulot. Dominique Roulot is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 12 | |
| 3 | 25 | |
| 4 | 62 | |
| 5 | 9 | |
| 6 | 8 | |
| 7 | 122 | |
| 8 | 61 | |
| 9 | 85 | |
| 10 | 1 | |
| 11 | 3 | |
| 12 | 4 | |
| 13 | 295 | |
| 14 | Nécrose médullaire lymphomateuse au cours d'un SIDA | 2 |
| 15 | Splanchnic and renal hemodynamic effects of dopaminergic dose of dopamine in cirrhotic patients with ascites | 2 |
| 16 | 24 | |
| 17 | 26 | |
| 18 | 15 | |
| 19 | 24 | |
| 20 | 24 |
About Dominique Roulot
Dominique Roulot is a scholar working on Hepatology, Epidemiology and Virology, having authored 112 papers that have together received 4.9k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (61 papers), Hepatitis C virus research (42 papers) and Liver Disease and Transplantation (32 papers). The work is most often cited by research in Hepatology (3.6k citations), Epidemiology (3.6k citations) and Virology (110 citations). Dominique Roulot has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Michel Beaugrand, Jacob George, Montgomery D. Bissell, Hervé Le Clésiau, Jean–Claude Trinchet, Marianne Ziol, Victor Koteliansky, D. Montgomery Bissell, Anne‐Claire Vergnaud and Sébastien Czernichow. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Lancet and Gastroenterology.
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.