Jan D. Soyka
- Radiology, Nuclear Medicine and Imaging top 5%
- Pulmonary and Respiratory Medicine top 10%
- Oncology
- Surgery
- Biomedical Engineering
- Co-authors
- Patrick Veit‐HaibachKlaus StrobelThomas F. HanyNiklaus SchaeferBurkhardt SeifertDaniela B. HusarikHans C. SteinertStephan K. Haerle
- Topics
- Medical Imaging Techniques and Applications (9 papers)Radiomics and Machine Learning in Medical Imaging (7 papers)MRI in cancer diagnosis (3 papers)
- Cited by
- Radiology, Nuclear Medicine and ImagingOtorhinolaryngologyPulmonary and Respiratory Medicine
- Partner nations
- SwitzerlandAustraliaDenmark
In The Last Decade
Jan D. Soyka
21 papers receiving 809 citations
Peers
Comparison fields: 5 of 68
- Radiology, Nuclear Medicine and Imaging 503
- Pulmonary and Respiratory Medicine 303
- Oncology 217
- Surgery 168
- Biomedical Engineering 95
Countries citing papers authored by Jan D. Soyka
This map shows the geographic impact of Jan D. Soyka'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 D. Soyka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan D. Soyka more than expected).
Fields of papers citing papers by Jan D. Soyka
This network shows the impact of papers produced by Jan D. Soyka. 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 D. Soyka. The network helps show where Jan D. Soyka may publish in the future.
Co-authorship network of co-authors of Jan D. Soyka
This figure shows the co-authorship network connecting the top 25 collaborators of Jan D. Soyka. A scholar is included among the top collaborators of Jan D. Soyka based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jan D. Soyka. Jan D. Soyka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 22 | |
| 2 | 27 | |
| 3 | 15 | |
| 4 | 87 | |
| 5 | 5 | |
| 6 | 19 | |
| 7 | 27 | |
| 8 | 26 | |
| 9 | 5 | |
| 10 | 16 | |
| 11 | 26 | |
| 12 | 88 | |
| 13 | 24 | |
| 14 | 63 | |
| 15 | 27 | |
| 16 | 102 | |
| 17 | 56 | |
| 18 | Chemotherapy response assessment in stage IV melanoma patients - Comparison of FDG-PET/CT, CT, brain MRI and tumormarker S-100B | 1 |
| 19 | 95 | |
| 20 | 82 |
About Jan D. Soyka
Jan D. Soyka is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Oncology, having authored 22 papers that have together received 826 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (9 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and MRI in cancer diagnosis (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (503 citations), Otorhinolaryngology (76 citations) and Pulmonary and Respiratory Medicine (303 citations). Jan D. Soyka has collaborated with scholars based in Switzerland, Australia and Denmark. Frequent co-authors include Patrick Veit‐Haibach, Klaus Strobel, Thomas F. Hany, Niklaus Schaefer, Burkhardt Seifert, Daniela B. Husarik, Hans C. Steinert, Stephan K. Haerle, Rolf A. Stahel and Cyrill Burger. Their work appears in journals such as Annals of Oncology, American Journal of Roentgenology and Journal of Nuclear 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.