Wim Verlinden
- Epidemiology top 10%
- Hepatology top 5%
- Surgery
- Endocrinology, Diabetes and Metabolism
- Biomedical Engineering
- Co-authors
- Sven FrancqueThomas VanwolleghemLuisa VonghiaAleksander KragMaja ThieleChristian JansenJonel TrebickaPhilipp T. Möller
- Topics
- Liver Disease Diagnosis and Treatment (14 papers)Liver Disease and Transplantation (5 papers)Hepatitis C virus research (5 papers)
In The Last Decade
Wim Verlinden
21 papers receiving 316 citations
Peers
Comparison fields: 5 of 63
- Epidemiology 255
- Hepatology 230
- Surgery 55
- Endocrinology, Diabetes and Metabolism 17
- Biomedical Engineering 15
Countries citing papers authored by Wim Verlinden
This map shows the geographic impact of Wim Verlinden'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 Wim Verlinden with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wim Verlinden more than expected).
Fields of papers citing papers by Wim Verlinden
This network shows the impact of papers produced by Wim Verlinden. 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 Wim Verlinden. The network helps show where Wim Verlinden may publish in the future.
Co-authorship network of co-authors of Wim Verlinden
This figure shows the co-authorship network connecting the top 25 collaborators of Wim Verlinden. A scholar is included among the top collaborators of Wim Verlinden based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Wim Verlinden. Wim Verlinden is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 14 | |
| 5 | 1 | |
| 6 | Manometric and ultrasonographic characteristics of patients with coexisting fecal incontinence and constipation. | 2 |
| 7 | 34 | |
| 8 | 19 | |
| 9 | 35 | |
| 10 | 8 | |
| 11 | 15 | |
| 12 | 2-dimensional shear wave elastography rather than HVPG significantly improves MELD-Na to predict survival in decompensated cirrhosis patients | 1 |
| 13 | 111 | |
| 14 | 17 | |
| 15 | Validation of APRI and FIB-4 score in an Antwerp cohort of chronic hepatitis C patients. | 6 |
| 16 | 0 | |
| 17 | 1 | |
| 18 | 1 | |
| 19 | 2 | |
| 20 | High prevalence of advanced fibrosis in association with the metabolic syndrome in a Belgian prospective cohort of NAFLD patients with elevated ALT. Results of the Belgian NAFLD registry. | 16 |
About Wim Verlinden
Wim Verlinden is a scholar working on Hepatology, Epidemiology and Ecological Modeling, having authored 23 papers that have together received 321 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (14 papers), Liver Disease and Transplantation (5 papers) and Hepatitis C virus research (5 papers). The work is most often cited by research in Hepatology (230 citations), Epidemiology (255 citations) and Ecological Modeling (9 citations). Wim Verlinden has collaborated with scholars based in Belgium, Germany and Denmark. Frequent co-authors include Sven Francque, Thomas Vanwolleghem, Luisa Vonghia, Aleksander Krag, Maja Thiele, Christian Jansen, Jonel Trebicka, Philipp T. Möller, Michael Praktiknjo and Johannes Chang. Their work appears in journals such as Journal of Hepatology, Oecologia and Critical Care.
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.