Marielle Cohard
- Epidemiology top 2%
- Hepatology top 1%
- Genetics top 5%
- Immunology top 10%
- Surgery top 10%
- Co-authors
- Thierry PoynardPhilippe MathurinVincent LeroyP OpolonJ.-P. ZarskiThierry ThévenotRichard N. FedorakStefan Schreiber
- Topics
- Hepatitis C virus research (10 papers)Liver Disease Diagnosis and Treatment (8 papers)Hepatitis B Virus Studies (7 papers)
- Cited by
- HepatologyEpidemiologyImmunology
- Partner nations
- FranceUnited StatesGermany
In The Last Decade
Marielle Cohard
21 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 82
- Epidemiology 1.1k
- Hepatology 943
- Genetics 486
- Immunology 394
- Surgery 297
Countries citing papers authored by Marielle Cohard
This map shows the geographic impact of Marielle Cohard'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 Marielle Cohard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marielle Cohard more than expected).
Fields of papers citing papers by Marielle Cohard
This network shows the impact of papers produced by Marielle Cohard. 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 Marielle Cohard. The network helps show where Marielle Cohard may publish in the future.
Co-authorship network of co-authors of Marielle Cohard
This figure shows the co-authorship network connecting the top 25 collaborators of Marielle Cohard. A scholar is included among the top collaborators of Marielle Cohard 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 Marielle Cohard. Marielle Cohard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 256 | |
| 2 | 1 | |
| 3 | 148 | |
| 4 | 7 | |
| 5 | 386 | |
| 6 | 352 | |
| 7 | 11 | |
| 8 | 26 | |
| 9 | 2 | |
| 10 | Meta–Analysis of Interferon Randomized Trials in the Treatment of Viral Hepatitis C: Effects of Dose and Durationbreakdown → | 573 |
| 11 | 10 | |
| 12 | Les hépatites virales | 2 |
| 13 | 21 | |
| 14 | 11 | |
| 15 | 48 | |
| 16 | 46 | |
| 17 | [Can early recurrent hemorrhage in gastroduodenal ulcer be predicted?]. | 4 |
| 18 | [Isolated peritonitis: a rare form of eosinophilic gastroenteritis]. | 2 |
| 19 | 12 | |
| 20 | [Primary sclerosing cholangitis and autoimmune cochlear deafness: a new syndrome?]. | 0 |
About Marielle Cohard
Marielle Cohard is a scholar working on Hepatology, Epidemiology and Gastroenterology, having authored 22 papers that have together received 1.9k indexed citations. Recurring topics across this work include Hepatitis C virus research (10 papers), Liver Disease Diagnosis and Treatment (8 papers) and Hepatitis B Virus Studies (7 papers). The work is most often cited by research in Hepatology (943 citations), Epidemiology (1.1k citations) and Immunology (394 citations). Marielle Cohard has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Thierry Poynard, Philippe Mathurin, Vincent Leroy, P Opolon, J.-P. Zarski, Thierry Thévenot, Richard N. Fedorak, Stefan Schreiber, Alfred Gangl and Gary Wild. Their work appears in journals such as Gastroenterology, Hepatology and Journal of Hepatology.
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.