Dylan C. Kwait
Impact in
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- Cardiac Imaging and Diagnostics
- Advanced MRI Techniques and Applications
- Radiation Dose and Imaging
- Dermatology top 10%
- Cancer and Skin Lesions
Papers in
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- Cardiac Imaging and Diagnostics 4
- Advanced MRI Techniques and Applications 2
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- Breast Lesions and Carcinomas 4
- Co-authors
- Udo Hoffmann (4 shared papers)Thomas J. Brady (3 shared papers)Christian Enzweiler (2 shared papers)Stephan Achenbach (1 shared paper)David E. Sosnovik (1 shared paper)Maros Ferencik (1 shared paper)Kari J. Kansal (1 shared paper)Sharon H. Giordano (1 shared paper)
- Journals
- Journal of the American College of Radiology (3 papers)Radiology (2 papers)Journal of Clinical Oncology (1 paper)Modern Pathology (1 paper)Breast Cancer Research and Treatment (1 paper)
- Partner nations
- United StatesGermanyRwanda
In The Last Decade
Dylan C. Kwait
11 papers receiving 332 citations
Peers
Comparison fields: 5 of 45
- Radiology, Nuclear Medicine and Imaging 170
- Dermatology 45
- Public Health, Environmental and Occupational Health 94
- Genetics 88
- Critical Care and Intensive Care Medicine 13
Countries citing papers authored by Dylan C. Kwait
This map shows the geographic impact of Dylan C. Kwait'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 Dylan C. Kwait with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dylan C. Kwait more than expected).
Fields of papers citing papers by Dylan C. Kwait
This network shows the impact of papers produced by Dylan C. Kwait. 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 Dylan C. Kwait. The network helps show where Dylan C. Kwait may publish in the future.
Co-authors
The 25 scholars most cited alongside Dylan C. Kwait, 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 | 2020 | 124 | |
| 2 | 2004 | 106 | |
| 3 | 2003 | 44 | |
| 4 | 2010 | 26 | |
| 5 | 2020 | 17 | |
| 6 | 2020 | 10 | |
| 7 | 2021 | 4 | |
| 8 | 2005 | 4 | |
| 9 | 2012 | 2 | |
| 10 | 2022 | 1 | |
| 11 | 2022 | 1 | |
| 12 | 2022 | 0 | |
| 13 | 2025 | 0 |
About Dylan C. Kwait
Dylan C. Kwait is a scholar working on Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine, Oncology and Epidemiology, having authored 13 papers that have together received 339 indexed citations. Recurring topics across this work include Breast Lesions and Carcinomas (4 papers), Cardiac Imaging and Diagnostics (4 papers), Breast Cancer Treatment Studies (3 papers), AI in cancer detection (3 papers), Global Cancer Incidence and Screening (3 papers), Advanced X-ray and CT Imaging (2 papers), Cervical Cancer and HPV Research (2 papers) and Advanced MRI Techniques and Applications (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (170 citations), Dermatology (45 citations), Public Health, Environmental and Occupational Health (94 citations), Genetics (88 citations) and Critical Care and Intensive Care Medicine (13 citations). Dylan C. Kwait has collaborated with scholars based in United States, Germany and Rwanda. Frequent co-authors include Udo Hoffmann, Thomas J. Brady, Christian Enzweiler, Stephan Achenbach, David E. Sosnovik, Maros Ferencik, Kari J. Kansal, Sharon H. Giordano, Rachel L. Yung and Charité Ricker. Their work appears in journals such as Journal of the American College of Radiology, Radiology, Journal of Clinical Oncology, Modern Pathology and Breast Cancer Research and Treatment.
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.