Thomas F. Baumert
- Hepatology top 1%
- Hepatitis C virus research 23
- Hepatocellular Carcinoma Treatment and Prognosis 5
- Cancer Research top 5%
- Epidemiology top 5%
- Hepatitis B Virus Studies 14
- Liver Disease Diagnosis and Treatment 13
- Virology top 5%
- HIV Research and Treatment 4
-
- Radiomics and Machine Learning in Medical Imaging 2
-
- Systemic Lupus Erythematosus Research 4
-
- interferon and immune responses 3
- Co-authors
- Mirjam B. ZeiselSébastien PfefferSimonetta BandieraBryan C. FuchsRaymond T. ChungNabeel BardeesyCatherine SchusterJake T. Liang
- Partner nations
- FranceUnited StatesGermany
In The Last Decade
Thomas F. Baumert
32 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Hepatology 905
- Cancer Research 391
- Epidemiology 803
- Virology 82
- Radiology, Nuclear Medicine and Imaging 236
Countries citing papers authored by Thomas F. Baumert
This map shows the geographic impact of Thomas F. Baumert'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 Thomas F. Baumert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas F. Baumert more than expected).
Fields of papers citing papers by Thomas F. Baumert
This network shows the impact of papers produced by Thomas F. Baumert. 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 Thomas F. Baumert. The network helps show where Thomas F. Baumert may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Thomas F. Baumert, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 2 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 2 | |
| 6 | 2021 | 60 | |
| 7 | 2020 | 21 | |
| 8 | 2019 | 28 | |
| 9 | 2016 | 18 | |
| 10 | 2015 | 18 | |
| 11 | 2015 | 52 | |
| 12 | 2014 | 167 | |
| 13 | 2014 | 69 | |
| 14 | miR-122 – A key factor and therapeutic target in liver diseasebreakdown → | 2014 | 487 |
| 15 | 2013 | 42 | |
| 16 | 2013 | 1 | |
| 17 | 2012 | 16 | |
| 18 | 2012 | 42 | |
| 19 | 2012 | 78 | |
| 20 | 2001 | 83 |
About Thomas F. Baumert
Thomas F. Baumert is a scholar working on Hepatology, Virology and Epidemiology, having authored 35 papers that have together received 1.8k indexed citations. Recurring topics across this work include Hepatitis C virus research (23 papers), Hepatitis B Virus Studies (14 papers), Liver Disease Diagnosis and Treatment (13 papers), Hepatocellular Carcinoma Treatment and Prognosis (5 papers), HIV Research and Treatment (4 papers), Systemic Lupus Erythematosus Research (4 papers), interferon and immune responses (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). The work is most often cited by research in Hepatology (905 citations), Cancer Research (391 citations) and Epidemiology (803 citations). Thomas F. Baumert has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Mirjam B. Zeisel, Sébastien Pfeffer, Simonetta Bandiera, Bryan C. Fuchs, Raymond T. Chung, Nabeel Bardeesy, Catherine Schuster, Jake T. Liang, Jujin Satoi and Patrick Pessaux. Their work appears in journals such as Journal of Biological Chemistry, Gastroenterology and Hepatology.
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.