Iris Friedli
Impact in
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- MRI in cancer diagnosis
- Advanced MRI Techniques and Applications
- Advanced Neuroimaging Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- Nephrology top 10%
- Chronic Kidney Disease and Diabetes
Papers in ⓘ
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- MRI in cancer diagnosis 10
- Advanced MRI Techniques and Applications 6
- Advanced Neuroimaging Techniques and Applications 2
- Radiomics and Machine Learning in Medical Imaging 2
- Cardiac Imaging and Diagnostics 1
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- Chronic Kidney Disease and Diabetes 3
- Co-authors
- Sophie de Seigneux (6 shared papers)Jean‐Paul Vallée (8 shared papers)Pierre‐Yves Martin (5 shared papers)Lena Berchtold (4 shared papers)Lindsey A. Crowe (6 shared papers)Thomas de Perrot (3 shared papers)Karine Hadaya (2 shared papers)Solange Moll (2 shared papers)
- Journals
- Magnetic Resonance Imaging (2 papers)Nephrology Dialysis Transplantation (2 papers)Diabetes Obesity and Metabolism (1 paper)Scientific Reports (1 paper)Journal of Clinical Medicine (1 paper)
- Partner nations
- SwitzerlandUnited KingdomUnited States
In The Last Decade
Iris Friedli
12 papers receiving 435 citations
Peers
Comparison fields: 5 of 53
- Radiology, Nuclear Medicine and Imaging 356
- Nephrology 73
- Transplantation 19
- Pediatrics, Perinatology and Child Health 114
- Pulmonary and Respiratory Medicine 138
Countries citing papers authored by Iris Friedli
This map shows the geographic impact of Iris Friedli'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 Iris Friedli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Iris Friedli more than expected).
Fields of papers citing papers by Iris Friedli
This network shows the impact of papers produced by Iris Friedli. 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 Iris Friedli. The network helps show where Iris Friedli may publish in the future.
Co-authors
The 25 scholars most cited alongside Iris Friedli, 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 | 2018 | 121 | |
| 2 | 2016 | 117 | |
| 3 | 2018 | 50 | |
| 4 | 2017 | 49 | |
| 5 | 2015 | 42 | |
| 6 | 2017 | 30 | |
| 7 | 2023 | 22 | |
| 8 | 2023 | 3 | |
| 9 | 2021 | 3 | |
| 10 | 2021 | 1 | |
| 11 | 2021 | 1 | |
| 12 | 2017 | 1 | |
| 13 | 2017 | 0 |
About Iris Friedli
Iris Friedli is a scholar working on Radiology, Nuclear Medicine and Imaging, Nephrology, Pediatrics, Perinatology and Child Health, Pulmonary and Respiratory Medicine and Hepatology, having authored 13 papers that have together received 440 indexed citations. Recurring topics across this work include MRI in cancer diagnosis (10 papers), Advanced MRI Techniques and Applications (6 papers), Renal and Vascular Pathologies (6 papers), Pediatric Urology and Nephrology Studies (3 papers), Chronic Kidney Disease and Diabetes (3 papers), Advanced Neuroimaging Techniques and Applications (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Cardiac Imaging and Diagnostics (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (356 citations), Nephrology (73 citations), Transplantation (19 citations), Pediatrics, Perinatology and Child Health (114 citations) and Pulmonary and Respiratory Medicine (138 citations). Iris Friedli has collaborated with scholars based in Switzerland, United Kingdom and United States. Frequent co-authors include Sophie de Seigneux, Jean‐Paul Vallée, Pierre‐Yves Martin, Lena Berchtold, Lindsey A. Crowe, Thomas de Perrot, Karine Hadaya, Solange Moll, Soléne Ulmer-Moll and Christian Vesin. Their work appears in journals such as Magnetic Resonance Imaging, Nephrology Dialysis Transplantation, Diabetes Obesity and Metabolism, Scientific Reports and Journal of Clinical 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.