Pierre Bédossa

71.7k citations
519 papers · 39.0k · 17 hit papers · h-index 95

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

    • Liver Disease Diagnosis and Treatment 210
    • Hepatitis B Virus Studies 40
    • Hepatitis C virus research 79
    • Liver Disease and Transplantation 36
    • Hepatocellular Carcinoma Treatment and Prognosis 32
    • Liver Diseases and Immunity 31

Pierre Bédossa

502 papers receiving 38.1k citations

Pierre Bédossa's Hit Papers

Denifanstat for the treatment of metabolic dysfunction-associated steatohepatitis: a multicentre, double-blind, randomised, placebo-controlled, phase 2b trial 2024 · 55 citations
550+9+19Years since publication50010001.5k2.0k

Peers

Pierre Bédossa
Comparison fields: 5 of 160
  • Hepatology 15.9k
  • Epidemiology 21.0k
  • Endocrinology, Diabetes and Metabolism 2.9k
  • Pathology and Forensic Medicine 2.1k
  • Physiology 2.3k
Replace Massimo Pinzani with:
Massimo Pinzani Italy
Kazuaki Chayama Japan
Valérie Paradis France
Frank Tacke Germany
Michael Torbenson United States
Linda D. Ferrell United States
Alastair D. Burt United Kingdom
Christian Trautwein Germany
Robert F. Schwabe United States
Fabio Marra Italy
Pierre Bédossa relative to Massimo Pinzani Italy Massimo Pinzani's profile →
Citations per field
00.5×1.5×1.9×
Massimo Pinzani · 1×
Citations per year

Countries citing papers authored by Pierre Bédossa

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Pierre Bédossa Line = papers co-authored together Pierre Bédossa links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 519 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 →
19963367
2
Natural history of liver fibrosis progression in patients with chronic hepatitis C
Hit paper breakdown →
19972382
3
Sampling Variability of Liver Fibrosis in Chronic Hepatitis C
Hit paper breakdown →
20031792
4
Intraobserver and Interobserver Variations in Liver Biopsy Interpretation in Patients With Chronic Hepatitis C
Hit paper breakdown →
19941708
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 →
2019969
6
Histopathological algorithm and scoring system for evaluation of liver lesions in morbidly obese patients
Hit paper breakdown →
2012649
7 2003495
8 2006475
9
Fibrosis in Human Adipose Tissue: Composition, Distribution, and Link With Lipid Metabolism and Fat Mass Loss
Hit paper breakdown →
2010454
10 2001447
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 →
2014434
12 2005426
13 2009422
14 2007419
15 2008416
16
A diet-induced animal model of non-alcoholic fatty liver disease and hepatocellular cancer
Hit paper breakdown →
2016406
17
A systematic review of follow-up biopsies reveals disease progression in patients with non-alcoholic fatty liver
Hit paper breakdown →
2013386
18 1995378
19 2008363
20 2003360

About Pierre Bédossa

Pierre Bédossa is a scholar working on Epidemiology, Hepatology, Surgery, Oncology and Molecular Biology, having authored 519 papers that have together received 39.0k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (210 papers), Hepatitis C virus research (79 papers), Hepatitis B Virus Studies (40 papers), Liver Disease and Transplantation (36 papers), Hepatocellular Carcinoma Treatment and Prognosis (32 papers), Liver Diseases and Immunity (31 papers), Alcohol Consumption and Health Effects (22 papers) and Diabetes and associated disorders (19 papers). The work is most often cited by research in Hepatology (15.9k citations), Epidemiology (21.0k citations), Endocrinology, Diabetes and Metabolism (2.9k citations), Pathology and Forensic Medicine (2.1k citations) and Physiology (2.3k 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, Joan Tordjman, Dominique Valla and Jacques Belghiti. 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.

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