Dane Wildner
Impact in
- Hepatology top 10%
- Hepatocellular Carcinoma Treatment and Prognosis
-
- Liver Disease Diagnosis and Treatment
Papers in
-
- Neuroendocrine Tumor Research Advances 2
- Genetics 5
- Inflammatory Bowel Disease 5
- Co-authors
- Deike Strobel (25 shared papers)Markus F. Neurath (23 shared papers)Ruediger S. Goertz (12 shared papers)Lukas Pfeifer (10 shared papers)Lukáš Pfeifer (7 shared papers)MF Neurath (5 shared papers)J. Sturm (4 shared papers)R. Goertz (3 shared papers)
- Journals
- Ultraschall in der Medizin - European Journal of Ultrasound (7 papers)Clinical Radiology (2 papers)European Journal of Gastroenterology & Hepatology (2 papers)Gastrointestinal Endoscopy (2 papers)Endoscopy (2 papers)
- Partner nations
- GermanyItalyUnited States
In The Last Decade
Dane Wildner
30 papers receiving 575 citations
Peers
Comparison fields: 5 of 59
- Hepatology 103
- Epidemiology 179
- Radiology, Nuclear Medicine and Imaging 110
- Orthopedics and Sports Medicine 40
- Gastroenterology 18
Countries citing papers authored by Dane Wildner
This map shows the geographic impact of Dane Wildner'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 Dane Wildner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dane Wildner more than expected).
Fields of papers citing papers by Dane Wildner
This network shows the impact of papers produced by Dane Wildner. 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 Dane Wildner. The network helps show where Dane Wildner may publish in the future.
Co-authors
The 25 scholars most cited alongside Dane Wildner, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 71 | |
| 2 | 2016 | 62 | |
| 3 | 2016 | 58 | |
| 4 | 2014 | 47 | |
| 5 | 2017 | 30 | |
| 6 | 2013 | 29 | |
| 7 | 2017 | 28 | |
| 8 | 2014 | 26 | |
| 9 | 2017 | 25 | |
| 10 | 2015 | 25 | |
| 11 | 2018 | 20 | |
| 12 | 2012 | 19 | |
| 13 | 2017 | 17 | |
| 14 | 2015 | 17 | |
| 15 | 2013 | 14 | |
| 16 | 2017 | 13 | |
| 17 | 2018 | 13 | |
| 18 | 2018 | 13 | |
| 19 | 2020 | 9 | |
| 20 | 2019 | 9 |
About Dane Wildner
Dane Wildner is a scholar working on Epidemiology, Genetics, Oncology, Radiology, Nuclear Medicine and Imaging and Surgery, having authored 31 papers that have together received 598 indexed citations. Recurring topics across this work include Inflammatory Bowel Disease (5 papers), Ultrasound Imaging and Elastography (4 papers), Pancreatic and Hepatic Oncology Research (3 papers), Neuroendocrine Tumor Research Advances (2 papers), Pancreatitis Pathology and Treatment (2 papers), Ultrasound and Hyperthermia Applications (2 papers), Colorectal Cancer Treatments and Studies (1 paper) and Systemic Lupus Erythematosus Research (1 paper). The work is most often cited by research in Hepatology (103 citations), Epidemiology (179 citations), Radiology, Nuclear Medicine and Imaging (110 citations), Orthopedics and Sports Medicine (40 citations) and Gastroenterology (18 citations). Dane Wildner has collaborated with scholars based in Germany, Italy and United States. Frequent co-authors include Deike Strobel, Markus F. Neurath, Ruediger S. Goertz, Lukas Pfeifer, Lukáš Pfeifer, MF Neurath, J. Sturm, R. Goertz, T. Bernatik and Raja Atreya. Their work appears in journals such as Ultraschall in der Medizin - European Journal of Ultrasound, Clinical Radiology, European Journal of Gastroenterology & Hepatology, Gastrointestinal Endoscopy and Endoscopy.
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.