M. Maynard-Muet
Impact in
- Hepatology top 5%
- Hepatitis C virus research
- Liver Disease and Transplantation
- Liver Diseases and Immunity
-
- Hepatitis B Virus Studies
- Liver Disease Diagnosis and Treatment
Papers in
- Hepatology 13
- Hepatitis C virus research 12
- Liver Diseases and Immunity 3
- Epidemiology 10
- Liver Disease Diagnosis and Treatment 7
- Hepatitis B Virus Studies 6
- Co-authors
- Jean‐Pierre Zarski (4 shared papers)Vincent Leroy (1 shared paper)J Arvieux (1 shared paper)Marie‐Christine Jacob (1 shared paper)Jean–Pierre Bronowicki (2 shared papers)Pierre Lebon (1 shared paper)Géraldine Honnet (2 shared papers)C. Trépo (2 shared papers)
In The Last Decade
M. Maynard-Muet
15 papers receiving 311 citations
Peers
Comparison fields: 5 of 40
- Hepatology 220
- Epidemiology 214
- Virology 27
- Rheumatology 82
- Infectious Diseases 29
Countries citing papers authored by M. Maynard-Muet
This map shows the geographic impact of M. Maynard-Muet'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 M. Maynard-Muet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Maynard-Muet more than expected).
Fields of papers citing papers by M. Maynard-Muet
This network shows the impact of papers produced by M. Maynard-Muet. 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 M. Maynard-Muet. The network helps show where M. Maynard-Muet may publish in the future.
Co-authors
The 25 scholars most cited alongside M. Maynard-Muet, 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 | 1998 | 69 | |
| 2 | 2011 | 66 | |
| 3 | 2012 | 53 | |
| 4 | 1998 | 36 | |
| 5 | 1998 | 25 | |
| 6 | 2014 | 15 | |
| 7 | 2021 | 13 | |
| 8 | 2008 | 12 | |
| 9 | 2016 | 10 | |
| 10 | 2009 | 8 | |
| 11 | [Value of high-dose interferon-alpha in chronic viral hepatitis C patients non-responder to a 1st treatment. Pilot study prospective and randomized trial]. | 1997 | 6 |
| 12 | 2024 | 4 | |
| 13 | 2008 | 3 | |
| 14 | 2023 | 2 | |
| 15 | 2023 | 1 |
About M. Maynard-Muet
M. Maynard-Muet is a scholar working on Hepatology, Epidemiology, Rheumatology, Immunology and Infectious Diseases, having authored 15 papers that have together received 323 indexed citations. Recurring topics across this work include Hepatitis C virus research (12 papers), Liver Disease Diagnosis and Treatment (7 papers), Hepatitis B Virus Studies (6 papers), Systemic Lupus Erythematosus Research (5 papers), Liver Diseases and Immunity (3 papers), Immunodeficiency and Autoimmune Disorders (2 papers), Cytokine Signaling Pathways and Interactions (1 paper) and Immunotherapy and Immune Responses (1 paper). The work is most often cited by research in Hepatology (220 citations), Epidemiology (214 citations), Virology (27 citations), Rheumatology (82 citations) and Infectious Diseases (29 citations). M. Maynard-Muet has collaborated with scholars based in France, Canada and Italy. Frequent co-authors include Jean‐Pierre Zarski, Vincent Leroy, J Arvieux, Marie‐Christine Jacob, Jean–Pierre Bronowicki, Pierre Lebon, Géraldine Honnet, C. Trépo, Geneviève Inchauspé and Cyrille Féray. Their work appears in journals such as Journal of Hepatology, Journal of Viral Hepatitis, British Journal of Haematology, Frontiers in Medicine and Obesity.
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.