Jef Verbeek
Impact in
- Hepatology top 5%
- Liver Diseases and Immunity
- Liver Disease and Transplantation
- Epidemiology top 10%
- Liver Disease Diagnosis and Treatment
Papers in
- Epidemiology 24
- Liver Disease Diagnosis and Treatment 22
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- Alcohol Consumption and Health Effects 12
- Co-authors
- Ger H. Koek (12 shared papers)Frederik Nevens (26 shared papers)David Cassiman (15 shared papers)Ad Masclee (9 shared papers)Daisy Jonkers (5 shared papers)Pan Xu (2 shared papers)Van der Merwe (16 shared papers)Nahid Mostafavi (2 shared papers)
- Journals
- Clinical Transplantation (3 papers)Liver International (3 papers)Hepatology (2 papers)Journal of Hepatology (2 papers)Gastroenterology (2 papers)
- Partner nations
- BelgiumNetherlandsGermany
In The Last Decade
Jef Verbeek
51 papers receiving 831 citations
Peers
Comparison fields: 5 of 78
- Hepatology 239
- Epidemiology 354
- Endocrinology, Diabetes and Metabolism 98
- Pathology and Forensic Medicine 91
- Obstetrics and Gynecology 33
Countries citing papers authored by Jef Verbeek
This map shows the geographic impact of Jef Verbeek'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 Jef Verbeek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jef Verbeek more than expected).
Fields of papers citing papers by Jef Verbeek
This network shows the impact of papers produced by Jef Verbeek. 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 Jef Verbeek. The network helps show where Jef Verbeek may publish in the future.
Co-authors
The 25 scholars most cited alongside Jef Verbeek, 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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 145 | |
| 2 | 2020 | 107 | |
| 3 | 2014 | 67 | |
| 4 | 2018 | 59 | |
| 5 | 2016 | 40 | |
| 6 | 2020 | 35 | |
| 7 | 2020 | 34 | |
| 8 | 2018 | 28 | |
| 9 | 2009 | 24 | |
| 10 | 2020 | 22 | |
| 11 | 2014 | 20 | |
| 12 | 2021 | 19 | |
| 13 | 2017 | 18 | |
| 14 | 2017 | 15 | |
| 15 | 2020 | 15 | |
| 16 | 2021 | 13 | |
| 17 | Treatment of non-alcoholic fatty liver disease: can we already face the epidemic? | 2013 | 13 |
| 18 | 2021 | 12 | |
| 19 | 2014 | 12 | |
| 20 | 2021 | 11 |
About Jef Verbeek
Jef Verbeek is a scholar working on Epidemiology, Pathology and Forensic Medicine, Hepatology, Physiology and Surgery, having authored 56 papers that have together received 846 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (22 papers), Alcohol Consumption and Health Effects (12 papers), Diet, Metabolism, and Disease (6 papers), Liver Disease and Transplantation (5 papers), Liver Diseases and Immunity (4 papers), Renal Transplantation Outcomes and Treatments (3 papers), Trace Elements in Health (3 papers) and Adipose Tissue and Metabolism (3 papers). The work is most often cited by research in Hepatology (239 citations), Epidemiology (354 citations), Endocrinology, Diabetes and Metabolism (98 citations), Pathology and Forensic Medicine (91 citations) and Obstetrics and Gynecology (33 citations). Jef Verbeek has collaborated with scholars based in Belgium, Netherlands and Germany. Frequent co-authors include Ger H. Koek, Frederik Nevens, David Cassiman, Ad Masclee, Daisy Jonkers, Pan Xu, Van der Merwe, Nahid Mostafavi, Ulrich Beuers and Sylvia Roozen. Their work appears in journals such as Clinical Transplantation, Liver International, Hepatology, Journal of Hepatology and Gastroenterology.
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.