Maxime Audet
Impact in
- Hepatology top 5%
- Liver Disease and Transplantation
- Liver physiology and pathology
- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
- Surgery 7
- Organ Transplantation Techniques and Outcomes 5
- Xenotransplantation and immune response 1
- Co-authors
- Philippe Wolf (9 shared papers)J Cinqualbre (7 shared papers)Daniel Jaeck (7 shared papers)Tullio Piardi (5 shared papers)Marie-Pierre Chenard-Neu (4 shared papers)Fabrizio Panaro (4 shared papers)Eliane Alexandre (3 shared papers)Ping Huang (1 shared paper)
- Journals
- Journal of Gastroenterology and Hepatology (2 papers)Cell Transplantation (2 papers)Transplantation (2 papers)Journal of Medical Primatology (1 paper)Annals of Surgery (1 paper)
- Partner nations
- FranceSwitzerlandItaly
In The Last Decade
Maxime Audet
15 papers receiving 306 citations
Peers
Comparison fields: 5 of 45
- Hepatology 115
- Transplantation 12
- Surgery 168
- Hematology 35
- Pharmacology 17
Countries citing papers authored by Maxime Audet
This map shows the geographic impact of Maxime Audet'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 Maxime Audet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maxime Audet more than expected).
Fields of papers citing papers by Maxime Audet
This network shows the impact of papers produced by Maxime Audet. 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 Maxime Audet. The network helps show where Maxime Audet may publish in the future.
Co-authors
The 25 scholars most cited alongside Maxime Audet, 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 | 2008 | 46 | |
| 2 | 2007 | 36 | |
| 3 | 2001 | 32 | |
| 4 | 2002 | 32 | |
| 5 | 2001 | 31 | |
| 6 | 1999 | 28 | |
| 7 | 2011 | 24 | |
| 8 | 2009 | 17 | |
| 9 | 2011 | 16 | |
| 10 | 2005 | 14 | |
| 11 | 2011 | 10 | |
| 12 | 2006 | 9 | |
| 13 | 2001 | 7 | |
| 14 | Reye syndrome and liver transplantation. | 2011 | 7 |
| 15 | 2011 | 6 |
About Maxime Audet
Maxime Audet is a scholar working on Surgery, Infectious Diseases, Genetics, Epidemiology and Hepatology, having authored 15 papers that have together received 315 indexed citations. Recurring topics across this work include Organ Transplantation Techniques and Outcomes (5 papers), Liver physiology and pathology (2 papers), Pancreatic and Hepatic Oncology Research (1 paper), Xenotransplantation and immune response (1 paper), Liver Disease and Transplantation (1 paper), Hemoglobinopathies and Related Disorders (1 paper), Blood groups and transfusion (1 paper) and Renal Transplantation Outcomes and Treatments (1 paper). The work is most often cited by research in Hepatology (115 citations), Transplantation (12 citations), Surgery (168 citations), Hematology (35 citations) and Pharmacology (17 citations). Maxime Audet has collaborated with scholars based in France, Switzerland and Italy. Frequent co-authors include Philippe Wolf, J Cinqualbre, Daniel Jaeck, Tullio Piardi, Marie-Pierre Chenard-Neu, Fabrizio Panaro, Eliane Alexandre, Ping Huang, Karim Boudjéma and Agnes M. Azimzadeh. Their work appears in journals such as Journal of Gastroenterology and Hepatology, Cell Transplantation, Transplantation, Journal of Medical Primatology and Annals of Surgery.
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.