Stephen Seiler
Impact in
- Cancer Research top 10%
- Breast Cancer Treatment Studies
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- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
- Advanced MRI Techniques and Applications
Papers in
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- Medical Imaging Techniques and Applications 7
- MRI in cancer diagnosis 6
- Radiomics and Machine Learning in Medical Imaging 6
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- Breast Cancer Treatment Studies 14
- Co-authors
- Sally Goudreau (15 shared papers)Xuejun Gu (4 shared papers)Jochen Keupp (2 shared papers)Weiguo Lu (2 shared papers)Elena Vinogradov (2 shared papers)Erlei Zhang (2 shared papers)Ramapriya Ganti (2 shared papers)Robert E. Lenkinski (4 shared papers)
- Journals
- Radiographics (5 papers)International Journal of Radiation Oncology*Biology*Physics (5 papers)American Journal of Roentgenology (3 papers)European Journal of Radiology (2 papers)The Breast Journal (2 papers)
- Partner nations
- United StatesGermanyFinland
In The Last Decade
Stephen Seiler
37 papers receiving 461 citations
Peers
Comparison fields: 5 of 54
- Cancer Research 142
- Radiology, Nuclear Medicine and Imaging 168
- Pathology and Forensic Medicine 101
- Radiation 34
- Health Informatics 4
Countries citing papers authored by Stephen Seiler
This map shows the geographic impact of Stephen Seiler'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 Stephen Seiler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Seiler more than expected).
Fields of papers citing papers by Stephen Seiler
This network shows the impact of papers produced by Stephen Seiler. 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 Stephen Seiler. The network helps show where Stephen Seiler may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephen Seiler, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 70 | |
| 2 | 2017 | 50 | |
| 3 | 2017 | 49 | |
| 4 | 2018 | 47 | |
| 5 | 2020 | 44 | |
| 6 | 2023 | 22 | |
| 7 | 2017 | 21 | |
| 8 | 2017 | 18 | |
| 9 | 2014 | 17 | |
| 10 | 2015 | 12 | |
| 11 | 2022 | 10 | |
| 12 | 2020 | 9 | |
| 13 | 2016 | 9 | |
| 14 | 2022 | 9 | |
| 15 | 2017 | 9 | |
| 16 | 2020 | 8 | |
| 17 | 2018 | 7 | |
| 18 | 2023 | 7 | |
| 19 | 2023 | 7 | |
| 20 | 2021 | 6 |
About Stephen Seiler
Stephen Seiler is a scholar working on Radiology, Nuclear Medicine and Imaging, Cancer Research, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine and Surgery, having authored 44 papers that have together received 470 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (14 papers), Breast Lesions and Carcinomas (9 papers), Medical Imaging Techniques and Applications (7 papers), Digital Radiography and Breast Imaging (7 papers), MRI in cancer diagnosis (6 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Advanced Radiotherapy Techniques (5 papers) and AI in cancer detection (5 papers). The work is most often cited by research in Cancer Research (142 citations), Radiology, Nuclear Medicine and Imaging (168 citations), Pathology and Forensic Medicine (101 citations), Radiation (34 citations) and Health Informatics (4 citations). Stephen Seiler has collaborated with scholars based in United States, Germany and Finland. Frequent co-authors include Sally Goudreau, Xuejun Gu, Jochen Keupp, Weiguo Lu, Elena Vinogradov, Erlei Zhang, Ramapriya Ganti, Robert E. Lenkinski, Sunati Sahoo and Ann Spangler. Their work appears in journals such as Radiographics, International Journal of Radiation Oncology*Biology*Physics, American Journal of Roentgenology, European Journal of Radiology and The Breast Journal.
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.