Pierre Bédossa
Impact in
- Hepatology top 0.01%
- Hepatitis C virus research
- Liver Disease and Transplantation
- Hepatocellular Carcinoma Treatment and Prognosis
- Liver physiology and pathology
- Liver Diseases and Immunity
- Epidemiology top 0.01%
- Liver Disease Diagnosis and Treatment
- Hepatitis B Virus Studies
Papers in
- Epidemiology 254
- Liver Disease Diagnosis and Treatment 214
- Hepatitis B Virus Studies 42
- Hepatology 169
- Hepatitis C virus research 79
- Hepatocellular Carcinoma Treatment and Prognosis 37
- Liver Disease and Transplantation 36
- Liver Diseases and Immunity 31
- Liver physiology and pathology 20
- Co-authors
- Thierry Poynard (42 shared papers)Valérie Paradis (136 shared papers)P Opolon (3 shared papers)Delphine Dargère (27 shared papers)Michel Vidaud (46 shared papers)Patrick Marcellin (42 shared papers)Karine Clément (24 shared papers)Jacques Belghiti (27 shared papers)
- Journals
- Journal of Hepatology (86 papers)Hepatology (45 papers)Gastroenterology (22 papers)Liver International (14 papers)Human Pathology (12 papers)
- Partner nations
- FranceUnited StatesUnited Kingdom
In The Last Decade
Pierre Bédossa
513 papers receiving 39.1k citations
Pierre Bédossa's Hit Papers
Peers
Comparison fields: 5 of 164
- Hepatology 16.6k
- Epidemiology 22.0k
- Endocrinology, Diabetes and Metabolism 3.1k
- Pathology and Forensic Medicine 2.2k
- Surgery 4.1k
Countries citing papers authored by Pierre Bédossa
This map shows the geographic impact of Pierre Bédossa'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 Pierre Bédossa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pierre Bédossa more than expected).
Fields of papers citing papers by Pierre Bédossa
This network shows the impact of papers produced by Pierre Bédossa. 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 Pierre Bédossa. The network helps show where Pierre Bédossa may publish in the future.
Co-authors
The 25 scholars most cited alongside Pierre Bédossa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 533 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | An Algorithm for the Grading of Activity in Chronic Hepatitis C Hit paper breakdown → | 1996 | 3424 |
| 2 | Natural history of liver fibrosis progression in patients with chronic hepatitis C Hit paper breakdown → | 1997 | 2495 |
| 3 | Sampling Variability of Liver Fibrosis in Chronic Hepatitis C Hit paper breakdown → | 2003 | 1844 |
| 4 | Intraobserver and Interobserver Variations in Liver Biopsy Interpretation in Patients With Chronic Hepatitis C Hit paper breakdown → | 1994 | 1741 |
| 5 | Accuracy of FibroScan Controlled Attenuation Parameter and Liver Stiffness Measurement in Assessing Steatosis and Fibrosis in Patients With Nonalcoholic Fatty Liver Disease Hit paper breakdown → | 2019 | 982 |
| 6 | Histopathological algorithm and scoring system for evaluation of liver lesions in morbidly obese patients Hit paper breakdown → | 2012 | 667 |
| 7 | Sampling variability of liver fibrosis in chronic hepatitis C Hit paper breakdown → | 2003 | 527 |
| 8 | Increased Infiltration of Macrophages in Omental Adipose Tissue Is Associated With Marked Hepatic Lesions in Morbid Human Obesity Hit paper breakdown → | 2006 | 500 |
| 9 | Fibrosis in Human Adipose Tissue: Composition, Distribution, and Link With Lipid Metabolism and Fat Mass Loss Hit paper breakdown → | 2010 | 484 |
| 10 | 2001 | 456 | |
| 11 | Utility and appropriateness of the fatty liver inhibition of progression (FLIP) algorithm and steatosis, activity, and fibrosis (SAF) score in the evaluation of biopsies of nonalcoholic fatty liver disease Hit paper breakdown → | 2014 | 448 |
| 12 | 2005 | 443 | |
| 13 | 2008 | 440 | |
| 14 | 2009 | 436 | |
| 15 | 2007 | 436 | |
| 16 | A diet-induced animal model of non-alcoholic fatty liver disease and hepatocellular cancer Hit paper breakdown → | 2016 | 412 |
| 17 | A systematic review of follow-up biopsies reveals disease progression in patients with non-alcoholic fatty liver Hit paper breakdown → | 2013 | 406 |
| 18 | 1995 | 395 | |
| 19 | 2003 | 377 | |
| 20 | 2008 | 368 |
About Pierre Bédossa
Pierre Bédossa is a scholar working on Epidemiology, Hepatology, Surgery, Oncology and Molecular Biology, having authored 533 papers that have together received 40.6k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (214 papers), Hepatitis C virus research (79 papers), Hepatitis B Virus Studies (42 papers), Hepatocellular Carcinoma Treatment and Prognosis (37 papers), Liver Disease and Transplantation (36 papers), Liver Diseases and Immunity (31 papers), Alcohol Consumption and Health Effects (23 papers) and Liver physiology and pathology (20 papers). The work is most often cited by research in Hepatology (16.6k citations), Epidemiology (22.0k citations), Endocrinology, Diabetes and Metabolism (3.1k citations), Pathology and Forensic Medicine (2.2k citations) and Surgery (4.1k citations). Pierre Bédossa has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Thierry Poynard, Valérie Paradis, P Opolon, Delphine Dargère, Michel Vidaud, Patrick Marcellin, Karine Clément, Jacques Belghiti, Dominique Valla and Joan Tordjman. Their work appears in journals such as Journal of Hepatology, Hepatology, Gastroenterology, Liver International and Human Pathology.
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.