D Wildner
Impact in
- Hepatology top 5%
- Hepatocellular Carcinoma Treatment and Prognosis
- Liver Disease and Transplantation
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- Dermatological and COVID-19 studies
Papers in
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- Hepatocellular Carcinoma Treatment and Prognosis 5
-
- Ultrasound and Hyperthermia Applications 4
- Co-authors
- Deike Strobel (14 shared papers)T. Bernatik (2 shared papers)Markus F. Neurath (7 shared papers)MF Neurath (6 shared papers)Christian Greis (1 shared paper)K. Seitz (1 shared paper)Barbara Schellhaas (3 shared papers)Lukas Pfeifer (5 shared papers)
- Journals
- Ultraschall in der Medizin - European Journal of Ultrasound (8 papers)BMC Cancer (1 paper)Journal of Cancer Research and Clinical Oncology (1 paper)Clinical Hemorheology and Microcirculation (2 papers)Visceral Medicine (1 paper)
- Partner nations
- Germany
In The Last Decade
D Wildner
11 papers receiving 290 citations
Peers
Comparison fields: 5 of 39
- Hepatology 149
- Dermatology 29
- Epidemiology 94
- Radiology, Nuclear Medicine and Imaging 37
- Surgery 65
Countries citing papers authored by D Wildner
This map shows the geographic impact of D 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 D Wildner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D Wildner more than expected).
Fields of papers citing papers by D Wildner
This network shows the impact of papers produced by D 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 D Wildner. The network helps show where D Wildner may publish in the future.
Co-authors
The 25 scholars most cited alongside D 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
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 114 | |
| 2 | 2016 | 43 | |
| 3 | 2018 | 43 | |
| 4 | 2016 | 38 | |
| 5 | 2012 | 28 | |
| 6 | 2017 | 13 | |
| 7 | 2015 | 10 | |
| 8 | 2023 | 5 | |
| 9 | 2021 | 2 | |
| 10 | 2013 | 1 | |
| 11 | 2015 | 1 | |
| 12 | 2014 | 0 | |
| 13 | 2014 | 0 | |
| 14 | 2014 | 0 |
About D Wildner
D Wildner is a scholar working on Hepatology, Biomedical Engineering, Critical Care and Intensive Care Medicine, Epidemiology and Radiology, Nuclear Medicine and Imaging, having authored 14 papers that have together received 298 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (5 papers), Ultrasound and Hyperthermia Applications (4 papers), Liver Disease Diagnosis and Treatment (2 papers), Ultrasound in Clinical Applications (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Microbial Inactivation Methods (1 paper), Dermatological and COVID-19 studies (1 paper) and Ultrasound Imaging and Elastography (1 paper). The work is most often cited by research in Hepatology (149 citations), Dermatology (29 citations), Epidemiology (94 citations), Radiology, Nuclear Medicine and Imaging (37 citations) and Surgery (65 citations). D Wildner has collaborated with scholars based in Germany. Frequent co-authors include Deike Strobel, T. Bernatik, Markus F. Neurath, MF Neurath, Christian Greis, K. Seitz, Barbara Schellhaas, Lukas Pfeifer, R. Goertz and Sebastian Zundler. Their work appears in journals such as Ultraschall in der Medizin - European Journal of Ultrasound, BMC Cancer, Journal of Cancer Research and Clinical Oncology, Clinical Hemorheology and Microcirculation and Visceral Medicine.
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.