K Siegmann
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- MRI in cancer diagnosis 13
- Radiomics and Machine Learning in Medical Imaging 7
- Advanced MRI Techniques and Applications 7
- Ultrasound Imaging and Elastography 4
- Medical Imaging Techniques and Applications 3
- Pathology and Forensic Medicine top 10%
- Breast Lesions and Carcinomas 11
- Cancer Research top 10%
- Breast Cancer Treatment Studies 9
- Biomedical Engineering top 10%
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- AI in cancer detection 3
- Co-authors
- Claus D. ClaussenT XydeasRalph SinkusMickaël TanterMathias FinkMarkus Müller‐SchimpfleD. WallwienerMarkus Hahn
- Journals
- RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren (5 papers)Investigative Radiology (4 papers)Archives of Gynecology and Obstetrics (2 papers)
- Partner nations
- GermanyFranceUnited States
In The Last Decade
K Siegmann
28 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 88
- Radiology, Nuclear Medicine and Imaging 658
- Pathology and Forensic Medicine 216
- Cancer Research 165
- Biomedical Engineering 353
- Obstetrics and Gynecology 36
Countries citing papers authored by K Siegmann
This map shows the geographic impact of K Siegmann'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 K Siegmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K Siegmann more than expected).
Fields of papers citing papers by K Siegmann
This network shows the impact of papers produced by K Siegmann. 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 K Siegmann. The network helps show where K Siegmann may publish in the future.
Co-authorship network
The 25 scholars most cited alongside K Siegmann, 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 | 2013 | 145 | |
| 2 | 2011 | 12 | |
| 3 | 2010 | 2 | |
| 4 | 2010 | 30 | |
| 5 | 2010 | 9 | |
| 6 | 2009 | 5 | |
| 7 | 2009 | 6 | |
| 8 | 2009 | 6 | |
| 9 | 2009 | 6 | |
| 10 | 2009 | 8 | |
| 11 | 2009 | 17 | |
| 12 | 2007 | 9 | |
| 13 | 2007 | 265 | |
| 14 | Management of late recurrence of a low-grade endometrial stromal sarcoma (LGESS): treatment with letrozole. | 2007 | 21 |
| 15 | 2005 | 13 | |
| 16 | 2005 | 157 | |
| 17 | 2005 | 46 | |
| 18 | 2003 | 13 | |
| 19 | 2002 | 12 | |
| 20 | 2002 | 29 |
About K Siegmann
K Siegmann is a scholar working on Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine and Cancer Research, having authored 28 papers that have together received 1.1k indexed citations. Recurring topics across this work include MRI in cancer diagnosis (13 papers), Breast Lesions and Carcinomas (11 papers), Breast Cancer Treatment Studies (9 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), Advanced MRI Techniques and Applications (7 papers), Ultrasound Imaging and Elastography (4 papers), Medical Imaging Techniques and Applications (3 papers) and AI in cancer detection (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (658 citations), Pathology and Forensic Medicine (216 citations) and Cancer Research (165 citations). K Siegmann has collaborated with scholars based in Germany, France and United States. Frequent co-authors include Claus D. Claussen, T Xydeas, Ralph Sinkus, Mickaël Tanter, Mathias Fink, Markus Müller‐Schimpfle, D. Wallwiener, Markus Hahn, Ines Gruber and Karl Oliver Kagan. Their work appears in journals such as RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren, Investigative Radiology, Archives of Gynecology and Obstetrics, Magnetic Resonance in Medicine and Clinical Radiology.
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.