Sonja Kandel
Impact in
- Hepatology top 10%
- Liver Disease and Transplantation
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- MRI in cancer diagnosis
- Medical Imaging Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
Papers in
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- Radiomics and Machine Learning in Medical Imaging 5
- MRI in cancer diagnosis 4
- Medical Imaging Techniques and Applications 3
- Radiation Dose and Imaging 2
- Advanced MRI Techniques and Applications 2
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- Lung Cancer Diagnosis and Treatment 3
- Co-authors
- Patrik Rogalla (14 shared papers)Henning Meyer (4 shared papers)Christian Kloeters (2 shared papers)Patrick A. Hein (2 shared papers)Andreas Hilbig (1 shared paper)Shane Shapera (6 shared papers)Andrew Hope (7 shared papers)Markus Boehnert (2 shared papers)
In The Last Decade
Sonja Kandel
26 papers receiving 460 citations
Peers
Comparison fields: 5 of 49
- Hepatology 66
- Radiology, Nuclear Medicine and Imaging 132
- Health Informatics 8
- Transplantation 9
- Pulmonary and Respiratory Medicine 98
Countries citing papers authored by Sonja Kandel
This map shows the geographic impact of Sonja Kandel'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 Sonja Kandel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sonja Kandel more than expected).
Fields of papers citing papers by Sonja Kandel
This network shows the impact of papers produced by Sonja Kandel. 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 Sonja Kandel. The network helps show where Sonja Kandel may publish in the future.
Co-authors
The 25 scholars most cited alongside Sonja Kandel, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 103 | |
| 2 | 2009 | 89 | |
| 3 | 2017 | 63 | |
| 4 | 2006 | 46 | |
| 5 | 2024 | 29 | |
| 6 | 2019 | 18 | |
| 7 | 2016 | 14 | |
| 8 | 2010 | 14 | |
| 9 | 2019 | 12 | |
| 10 | 2020 | 11 | |
| 11 | 2017 | 11 | |
| 12 | 2012 | 9 | |
| 13 | 2009 | 7 | |
| 14 | 2013 | 7 | |
| 15 | 2015 | 6 | |
| 16 | 2011 | 6 | |
| 17 | 2017 | 4 | |
| 18 | 2016 | 4 | |
| 19 | 2023 | 3 | |
| 20 | 2021 | 2 |
About Sonja Kandel
Sonja Kandel is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Surgery, Oncology and Atomic and Molecular Physics, and Optics, having authored 28 papers that have together received 466 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (5 papers), MRI in cancer diagnosis (4 papers), Medical Imaging Techniques and Applications (3 papers), Lung Cancer Diagnosis and Treatment (3 papers), Atomic and Subatomic Physics Research (2 papers), Radiation Dose and Imaging (2 papers), Advanced MRI Techniques and Applications (2 papers) and Transplantation: Methods and Outcomes (2 papers). The work is most often cited by research in Hepatology (66 citations), Radiology, Nuclear Medicine and Imaging (132 citations), Health Informatics (8 citations), Transplantation (9 citations) and Pulmonary and Respiratory Medicine (98 citations). Sonja Kandel has collaborated with scholars based in Canada, Germany and Australia. Frequent co-authors include Patrik Rogalla, Henning Meyer, Christian Kloeters, Patrick A. Hein, Andreas Hilbig, Shane Shapera, Andrew Hope, Markus Boehnert, Ori D. Rotstein and Andrea Bezjak. Their work appears in journals such as European Radiology, International Journal of Radiation Oncology*Biology*Physics, Clinical Lung Cancer, Radiotherapy and Oncology and Medical Physics.
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.