Dane Wildner

14 papers receiving 574 citations

Peers

Dane Wildner
Comparison fields: 5 of 56
  • Hepatology 171
  • Radiology, Nuclear Medicine and Imaging 153
  • Biomedical Engineering 242
  • Epidemiology 121
  • Dermatology 30
Replace Maria Vittoria Raciti with:
Maria Vittoria Raciti Italy
Marion Muche Germany
Lucy Youngmin Eun South Korea
Christian Kielisch Germany
Sun Kyung Jeon South Korea
Jörg P. Ritz Germany
Minjuan Zheng China
Myoung Seok Lee South Korea
Bita Boozari Germany
Dane Wildner relative to Maria Vittoria Raciti Italy Maria Vittoria Raciti's profile →
Citations per field
00.5×5×10×14.7×
Maria Vittoria Raciti · 1×
Citations per year

Countries citing papers authored by Dane Wildner

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Dane Wildner Line = papers co-authored together Dane Wildner links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2017254
2 2015131
3 201845
4 201643
5 201643
6 201229
7 201713
8 201510
9 20236
10 20223
11 20213
12 20223
13 20151
14 20131
15 20140
16 20140
17 20140

About Dane Wildner

Dane Wildner is a scholar working on Hepatology, Critical Care and Intensive Care Medicine, Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Surgery, having authored 17 papers that have together received 585 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (5 papers), Ultrasound and Hyperthermia Applications (4 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (3 papers), Gallbladder and Bile Duct Disorders (2 papers), Ultrasound in Clinical Applications (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Pediatric Hepatobiliary Diseases and Treatments (2 papers) and Dermatological and COVID-19 studies (1 paper). The work is most often cited by research in Hepatology (171 citations), Radiology, Nuclear Medicine and Imaging (153 citations), Biomedical Engineering (242 citations), Epidemiology (121 citations) and Dermatology (30 citations). Dane Wildner has collaborated with scholars based in Germany. Frequent co-authors include Deike D. Strobel, Markus Friedrich Neurath, Thomas Bernatik, Christian Greis, Karlheinz Seitz, Barbara Schellhaas, Lukas Pfeifer, R. Goertz, Ruediger Stephan Goertz and Sebastian Zundler. Their work appears in journals such as Ultraschall in der Medizin - European Journal of Ultrasound, Journal of Cancer Research and Clinical Oncology, New England Journal of Medicine, BMC Cancer and Zeitschrift für Gastroenterologie.

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.

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