Emmanuel Thomas
Impact in
- Hepatology top 1%
- Hepatitis C virus research
- Immunology top 5%
- interferon and immune responses
- Immune Response and Inflammation
- Immune Cell Function and Interaction
Papers in
- Hepatology 30
- Hepatitis C virus research 24
- Liver physiology and pathology 5
- Epidemiology 15
- Hepatitis B Virus Studies 13
- Liver Disease Diagnosis and Treatment 9
- Co-authors
- T. Jake Liang (5 shared papers)Glen N. Barber (1 shared paper)Siddharth Balachandran (1 shared paper)Qisheng Li (3 shared papers)Marc G. Ghany (4 shared papers)Mazen Noureddin (4 shared papers)Michael Fried (3 shared papers)Yaron Rotman (4 shared papers)
- Journals
- Viruses (3 papers)Hepatology (3 papers)Journal of Virology (2 papers)Gastroenterology (2 papers)Gut (2 papers)
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
Emmanuel Thomas
44 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 102
- Hepatology 754
- Immunology 510
- Epidemiology 663
- Infectious Diseases 217
- Virology 39
Countries citing papers authored by Emmanuel Thomas
This map shows the geographic impact of Emmanuel Thomas'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 Emmanuel Thomas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emmanuel Thomas more than expected).
Fields of papers citing papers by Emmanuel Thomas
This network shows the impact of papers produced by Emmanuel Thomas. 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 Emmanuel Thomas. The network helps show where Emmanuel Thomas may publish in the future.
Co-authors
The 25 scholars most cited alongside Emmanuel Thomas, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 246 | |
| 2 | 2012 | 230 | |
| 3 | 2009 | 134 | |
| 4 | 2010 | 130 | |
| 5 | 2012 | 120 | |
| 6 | 2013 | 102 | |
| 7 | 2013 | 98 | |
| 8 | 2014 | 79 | |
| 9 | 2016 | 66 | |
| 10 | 2013 | 50 | |
| 11 | 2010 | 46 | |
| 12 | 2018 | 40 | |
| 13 | 2016 | 38 | |
| 14 | 2019 | 36 | |
| 15 | 2021 | 35 | |
| 16 | 2013 | 31 | |
| 17 | 2014 | 27 | |
| 18 | Effects of statins on the risk of hepatocellular carcinoma. | 2014 | 24 |
| 19 | 2015 | 24 | |
| 20 | 2022 | 24 |
About Emmanuel Thomas
Emmanuel Thomas is a scholar working on Hepatology, Epidemiology, Immunology, Infectious Diseases and Surgery, having authored 46 papers that have together received 1.7k indexed citations. Recurring topics across this work include Hepatitis C virus research (24 papers), Hepatitis B Virus Studies (13 papers), Liver Disease Diagnosis and Treatment (9 papers), interferon and immune responses (7 papers), Liver physiology and pathology (5 papers), SARS-CoV-2 detection and testing (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and 3D Printing in Biomedical Research (2 papers). The work is most often cited by research in Hepatology (754 citations), Immunology (510 citations), Epidemiology (663 citations), Infectious Diseases (217 citations) and Virology (39 citations). Emmanuel Thomas has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include T. Jake Liang, Glen N. Barber, Siddharth Balachandran, Qisheng Li, Marc G. Ghany, Mazen Noureddin, Michael Fried, Yaron Rotman, Jake T. Liang and Zongyi Hu. Their work appears in journals such as Viruses, Hepatology, Journal of Virology, Gastroenterology and Gut.
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.