Jan Ebbing
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
-
- Bladder and Urothelial Cancer Treatments
Papers in
- Surgery 14
- Bladder and Urothelial Cancer Treatments 9
- Surgical Simulation and Training 2
-
- Prostate Cancer Diagnosis and Treatment 5
- Renal cell carcinoma treatment 3
- Co-authors
- Christian Wetterauer (14 shared papers)Alexander Bachmann (5 shared papers)Kurt Miller (9 shared papers)Justin William Collins (6 shared papers)Hans‐Helge Seifert (7 shared papers)Carsten Kempkensteffen (5 shared papers)Daniel Baumunk (5 shared papers)Abolfazl Hosseini (4 shared papers)
- Journals
- World Journal of Urology (6 papers)PLoS ONE (5 papers)British Journal of Urology (2 papers)BMC Nephrology (2 papers)Scientific Reports (2 papers)
- Partner nations
- SwitzerlandGermanySweden
In The Last Decade
Jan Ebbing
36 papers receiving 465 citations
Peers
Comparison fields: 5 of 55
- Health Informatics 32
- Surgery 154
- Urology 24
- Pulmonary and Respiratory Medicine 90
- Nephrology 21
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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 35 | |
| 2 | 2012 | 34 | |
| 3 | 2019 | 33 | |
| 4 | 2015 | 28 | |
| 5 | 2015 | 26 | |
| 6 | 2018 | 26 | |
| 7 | 2023 | 26 | |
| 8 | 2022 | 22 | |
| 9 | 2018 | 21 | |
| 10 | 2018 | 20 | |
| 11 | 2019 | 20 | |
| 12 | 2018 | 19 | |
| 13 | 2014 | 15 | |
| 14 | 2016 | 13 | |
| 15 | 2025 | 13 | |
| 16 | 2009 | 12 | |
| 17 | 2002 | 11 | |
| 18 | 2019 | 11 | |
| 19 | 2013 | 10 | |
| 20 | 2020 | 9 |
About Jan Ebbing
Jan Ebbing is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Urology, Health Informatics and Transplantation, having authored 37 papers that have together received 477 indexed citations. Recurring topics across this work include Bladder and Urothelial Cancer Treatments (9 papers), Prostate Cancer Diagnosis and Treatment (5 papers), Urinary Bladder and Prostate Research (3 papers), Renal cell carcinoma treatment (3 papers), Artificial Intelligence in Healthcare and Education (2 papers), Ultrasound and Hyperthermia Applications (2 papers), Acute Kidney Injury Research (2 papers) and Surgical Simulation and Training (2 papers). The work is most often cited by research in Health Informatics (32 citations), Surgery (154 citations), Urology (24 citations), Pulmonary and Respiratory Medicine (90 citations) and Nephrology (21 citations). Jan Ebbing has collaborated with scholars based in Switzerland, Germany and Sweden. Frequent co-authors include Christian Wetterauer, Alexander Bachmann, Kurt Miller, Justin William Collins, Hans‐Helge Seifert, Carsten Kempkensteffen, Daniel Baumunk, Abolfazl Hosseini, Peter Ardelt and Frank Friedersdorff. Their work appears in journals such as World Journal of Urology, PLoS ONE, British Journal of Urology, BMC Nephrology and Scientific Reports.
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.