Pavel Taimr
- Epidemiology top 10%
- Hepatology top 2%
- Surgery
- Endocrinology, Diabetes and Metabolism top 10%
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Bettina E. HansenHarry L.A. JanssenJeoffrey SchoutenSarwa Darwish MuradMilan HájekMonika DezortováBruno H. StrickerDaniel Jirák
- Topics
- Liver Disease Diagnosis and Treatment (13 papers)Liver Disease and Transplantation (9 papers)Hepatocellular Carcinoma Treatment and Prognosis (6 papers)
- Journals
- GastroenterologyHepatologyRadiology
- Partner nations
- NetherlandsCzechiaCanada
In The Last Decade
Pavel Taimr
24 papers receiving 713 citations
Peers
Comparison fields: 5 of 79
- Epidemiology 449
- Hepatology 356
- Surgery 161
- Endocrinology, Diabetes and Metabolism 110
- Radiology, Nuclear Medicine and Imaging 91
Countries citing papers authored by Pavel Taimr
This map shows the geographic impact of Pavel Taimr'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 Pavel Taimr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pavel Taimr more than expected).
Fields of papers citing papers by Pavel Taimr
This network shows the impact of papers produced by Pavel Taimr. 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 Pavel Taimr. The network helps show where Pavel Taimr may publish in the future.
Co-authorship network of co-authors of Pavel Taimr
This figure shows the co-authorship network connecting the top 25 collaborators of Pavel Taimr. A scholar is included among the top collaborators of Pavel Taimr 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 Pavel Taimr. Pavel Taimr 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 | 0 | |
| 3 | 13 | |
| 4 | 24 | |
| 5 | 10 | |
| 6 | 12 | |
| 7 | 12 | |
| 8 | 45 | |
| 9 | 68 | |
| 10 | 8 | |
| 11 | 26 | |
| 12 | 1 | |
| 13 | 14 | |
| 14 | 5 | |
| 15 | Double-blind randomized multicenter study comparing the efficacy and safety of 10-day to 5-day terlipressin treatment of bleeding esophageal varices. | 12 |
| 16 | 11 | |
| 17 | 40 | |
| 18 | 97 | |
| 19 | The role of ERCP in management of biliary complications after liver transplantation. | 0 |
| 20 | 1 |
About Pavel Taimr
Pavel Taimr is a scholar working on Hepatology, Epidemiology and Transplantation, having authored 26 papers that have together received 724 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (13 papers), Liver Disease and Transplantation (9 papers) and Hepatocellular Carcinoma Treatment and Prognosis (6 papers). The work is most often cited by research in Hepatology (356 citations), Epidemiology (449 citations) and Endocrinology, Diabetes and Metabolism (110 citations). Pavel Taimr has collaborated with scholars based in Netherlands, Czechia and Canada. Frequent co-authors include Bettina E. Hansen, Harry L.A. Janssen, Jeoffrey Schouten, Sarwa Darwish Murad, Milan Hájek, Monika Dezortová, Bruno H. Stricker, Daniel Jirák, Frank W.G. Leebeek and Elisabeth P.C. Plompen. Their work appears in journals such as Gastroenterology, Hepatology and Radiology.
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.