Jan Ebbing
Impact in
- Health Informatics top 10%
- Urology top 10%
- Urinary Bladder and Prostate Research
- Urological Disorders and Treatments
Papers in
- Surgery 12
- Bladder and Urothelial Cancer Treatments 5
- Surgical Simulation and Training 4
-
- Prostate Cancer Diagnosis and Treatment 5
- Co-authors
- Kurt Miller (9 shared papers)Alexander Bachmann (5 shared papers)Christian Wetterauer (15 shared papers)Justin Collins (8 shared papers)Hans‐Helge Seifert (6 shared papers)Carsten Kempkensteffen (5 shared papers)Abolfazl Hosseini (4 shared papers)D. Baumunk (5 shared papers)
- Journals
- World Journal of Urology (6 papers)PLoS ONE (5 papers)BMC Nephrology (2 papers)Scientific Reports (2 papers)User Modeling and User-Adapted Interaction (1 paper)
- Partner nations
- SwitzerlandGermanySweden
In The Last Decade
Jan Ebbing
37 papers receiving 420 citations
Peers
Comparison fields: 5 of 76
- Health Informatics 15
- Urology 38
- Surgery 126
- Pulmonary and Respiratory Medicine 88
- Nephrology 15
Countries citing papers authored by Jan Ebbing
This map shows the geographic impact of Jan Ebbing'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 Jan Ebbing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Ebbing more than expected).
Fields of papers citing papers by Jan Ebbing
This network shows the impact of papers produced by Jan Ebbing. 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 Jan Ebbing. The network helps show where Jan Ebbing may publish in the future.
Co-authors
The 25 scholars most cited alongside Jan Ebbing, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 36 | |
| 2 | 2012 | 33 | |
| 3 | 2019 | 31 | |
| 4 | 2015 | 27 | |
| 5 | 2018 | 23 | |
| 6 | 2015 | 22 | |
| 7 | 2018 | 21 | |
| 8 | 2022 | 20 | |
| 9 | 2018 | 19 | |
| 10 | 2019 | 19 | |
| 11 | 2018 | 16 | |
| 12 | 2014 | 14 | |
| 13 | 2002 | 11 | |
| 14 | 2016 | 11 | |
| 15 | 2009 | 11 | |
| 16 | 2019 | 11 | |
| 17 | 2013 | 10 | |
| 18 | 2023 | 9 | |
| 19 | 2020 | 9 | |
| 20 | 2011 | 8 |
About Jan Ebbing
Jan Ebbing is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Urology, Molecular Biology and Obstetrics and Gynecology, having authored 39 papers that have together received 430 indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (5 papers), Bladder and Urothelial Cancer Treatments (5 papers), Surgical Simulation and Training (4 papers), Urological Disorders and Treatments (3 papers), Ureteral procedures and complications (3 papers), S100 Proteins and Annexins (2 papers), Urinary Bladder and Prostate Research (2 papers) and Anatomy and Medical Technology (2 papers). The work is most often cited by research in Health Informatics (15 citations), Urology (38 citations), Surgery (126 citations), Pulmonary and Respiratory Medicine (88 citations) and Nephrology (15 citations). Jan Ebbing has collaborated with scholars based in Switzerland, Germany and Sweden. Frequent co-authors include Kurt Miller, Alexander Bachmann, Christian Wetterauer, Justin Collins, Hans‐Helge Seifert, Carsten Kempkensteffen, Abolfazl Hosseini, D. Baumunk, Peter Ardelt and Jonas Höijer. Their work appears in journals such as World Journal of Urology, PLoS ONE, BMC Nephrology, Scientific Reports and User Modeling and User-Adapted Interaction.
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.