Roman Liebe
Impact in
- Hepatology top 5%
- Liver physiology and pathology
- Liver Diseases and Immunity
- Liver Disease and Transplantation
- Epidemiology top 10%
- Liver Disease Diagnosis and Treatment
Papers in
- Epidemiology 18
- Liver Disease Diagnosis and Treatment 17
- Hepatology 13
- Liver physiology and pathology 12
- Liver Disease and Transplantation 3
- Co-authors
- Frank Lammert (9 shared papers)Marcin Krawczyk (9 shared papers)Honglei Weng (13 shared papers)Steven Dooley (13 shared papers)Verena Keitel (3 shared papers)Tom Luedde (2 shared papers)Xiaodong Yuan (3 shared papers)Jan Stindt (2 shared papers)
In The Last Decade
Roman Liebe
34 papers receiving 494 citations
Peers
Comparison fields: 5 of 61
- Hepatology 173
- Epidemiology 228
- Endocrinology, Diabetes and Metabolism 59
- Pharmacology 29
- Cancer Research 33
Countries citing papers authored by Roman Liebe
This map shows the geographic impact of Roman Liebe'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 Roman Liebe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roman Liebe more than expected).
Fields of papers citing papers by Roman Liebe
This network shows the impact of papers produced by Roman Liebe. 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 Roman Liebe. The network helps show where Roman Liebe may publish in the future.
Co-authors
The 25 scholars most cited alongside Roman Liebe, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 84 | |
| 2 | 2021 | 70 | |
| 3 | 2015 | 40 | |
| 4 | 2015 | 33 | |
| 5 | 2018 | 32 | |
| 6 | 2017 | 29 | |
| 7 | 2016 | 22 | |
| 8 | 2018 | 18 | |
| 9 | 2022 | 17 | |
| 10 | 2022 | 17 | |
| 11 | 2014 | 16 | |
| 12 | 2023 | 12 | |
| 13 | 2018 | 9 | |
| 14 | 2022 | 9 | |
| 15 | 2015 | 9 | |
| 16 | 2018 | 9 | |
| 17 | 2020 | 8 | |
| 18 | 2015 | 8 | |
| 19 | 2015 | 8 | |
| 20 | 2022 | 7 |
About Roman Liebe
Roman Liebe is a scholar working on Epidemiology, Hepatology, Surgery, Oncology and Molecular Biology, having authored 37 papers that have together received 496 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (17 papers), Liver physiology and pathology (12 papers), Drug Transport and Resistance Mechanisms (4 papers), Diet and metabolism studies (3 papers), Pediatric Hepatobiliary Diseases and Treatments (3 papers), Liver Disease and Transplantation (3 papers), Diet, Metabolism, and Disease (3 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). The work is most often cited by research in Hepatology (173 citations), Epidemiology (228 citations), Endocrinology, Diabetes and Metabolism (59 citations), Pharmacology (29 citations) and Cancer Research (33 citations). Roman Liebe has collaborated with scholars based in Germany, China and Poland. Frequent co-authors include Frank Lammert, Marcin Krawczyk, Honglei Weng, Steven Dooley, Verena Keitel, Tom Luedde, Xiaodong Yuan, Jan Stindt, Ulrich Baumann and Stephan vom Dahl. Their work appears in journals such as Journal of Hepatology, PLoS ONE, Liver International, World Journal of Gastroenterology and American Journal Of 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.