Volker Duda

37 papers receiving 501 citations

Peers

Volker Duda
Comparison fields: 5 of 52
  • Pathology and Forensic Medicine 260
  • Cancer Research 170
  • Dermatology 76
  • Radiology, Nuclear Medicine and Imaging 185
  • Artificial Intelligence 141
Replace Caroline Malhaire with:
Caroline Malhaire France
Michele Telegrafo Italy
Michela Giuliani Italy
Eun Suk South Korea
J Buchmann Germany
Lisa E. Esserman United States
Riccardo Bussone Italy
H.D. Zakhour United Kingdom
J.S. Walsh United Kingdom
Lawrence Danso Buadu Japan
Volker Duda relative to Caroline Malhaire France Caroline Malhaire's profile →
Citations per field
00.5×3.2×
Caroline Malhaire · 1×
Citations per year

Countries citing papers authored by Volker Duda

Since Specialization
Citations

This map shows the geographic impact of Volker Duda'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 Volker Duda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Volker Duda more than expected).

Fields of papers citing papers by Volker Duda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Volker Duda. 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 Volker Duda. The network helps show where Volker Duda may publish in the future.

Co-authors

The 25 scholars most cited alongside Volker Duda, 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 Volker Duda Line = papers co-authored together Volker Duda links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009217
2 201242
3 200530
4 199228
5 202128
6 200021
7 199818
8 199416
9 200512
10 199211
11 200511
12 202110
13 200410
14 20039
15 20219
16 19938
17 19906
18 20014
19 20013
20 19903

About Volker Duda

Volker Duda is a scholar working on Pathology and Forensic Medicine, Cancer Research, Surgery, Dermatology and Pulmonary and Respiratory Medicine, having authored 41 papers that have together received 525 indexed citations. Recurring topics across this work include Breast Lesions and Carcinomas (23 papers), Breast Cancer Treatment Studies (16 papers), Cancer and Skin Lesions (7 papers), Digital Radiography and Breast Imaging (5 papers), AI in cancer detection (5 papers), Ultrasound Imaging and Elastography (4 papers), Breast Implant and Reconstruction (4 papers) and Global Cancer Incidence and Screening (4 papers). The work is most often cited by research in Pathology and Forensic Medicine (260 citations), Cancer Research (170 citations), Dermatology (76 citations), Radiology, Nuclear Medicine and Imaging (185 citations) and Artificial Intelligence (141 citations). Volker Duda has collaborated with scholars based in Germany, Austria and United States. Frequent co-authors include Markus Hahn, F. Degenhardt, Ute‐Susann Albert, H. Madjar, Mathias Warm, Monika Nothacker, Susanne Weinbrenner, Karin Bock, Annette Ramaswamy and Peyman Hadji. Their work appears in journals such as Ultraschall in der Medizin - European Journal of Ultrasound, Archives of Gynecology and Obstetrics, Journal of Ultrasound in Medicine, Ultrasound in Obstetrics and Gynecology and European Journal of Cancer Prevention.

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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