Bradley S. Snyder
- Radiology, Nuclear Medicine and Imaging top 0.5%
- Pulmonary and Respiratory Medicine top 2%
- Obstetrics and Gynecology top 1%
- Epidemiology top 10%
- Oncology top 10%
- Co-authors
- Constantine GatsonisJ. L. BeardFenghai DuanRichard E. FineJ.R. ConnorE. J. MufsonHedvig HricakDonald G. Mitchell
- Topics
- Radiomics and Machine Learning in Medical Imaging (15 papers)Medical Imaging Techniques and Applications (12 papers)MRI in cancer diagnosis (9 papers)
- Partner nations
- United StatesGermanyCanada
In The Last Decade
Bradley S. Snyder
70 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 156
- Radiology, Nuclear Medicine and Imaging 1.7k
- Pulmonary and Respiratory Medicine 858
- Obstetrics and Gynecology 552
- Epidemiology 453
- Oncology 443
Countries citing papers authored by Bradley S. Snyder
This map shows the geographic impact of Bradley S. Snyder'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 Bradley S. Snyder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bradley S. Snyder more than expected).
Fields of papers citing papers by Bradley S. Snyder
This network shows the impact of papers produced by Bradley S. Snyder. 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 Bradley S. Snyder. The network helps show where Bradley S. Snyder may publish in the future.
Co-authorship network of co-authors of Bradley S. Snyder
This figure shows the co-authorship network connecting the top 25 collaborators of Bradley S. Snyder. A scholar is included among the top collaborators of Bradley S. Snyder based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Bradley S. Snyder. Bradley S. Snyder is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 12 | |
| 3 | 7 | |
| 4 | 15 | |
| 5 | 57 | |
| 6 | 73 | |
| 7 | 15 | |
| 8 | 15 | |
| 9 | 43 | |
| 10 | 54 | |
| 11 | 48 | |
| 12 | 131 | |
| 13 | 37 | |
| 14 | 121 | |
| 15 | 6 | |
| 16 | 67 | |
| 17 | 35 | |
| 18 | 92 | |
| 19 | 277 | |
| 20 | Free shear layer and swirl flow heat transfer enhancement | 2 |
About Bradley S. Snyder
Bradley S. Snyder is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics and Obstetrics and Gynecology, having authored 70 papers that have together received 4.1k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (15 papers), Medical Imaging Techniques and Applications (12 papers) and MRI in cancer diagnosis (9 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.7k citations), Obstetrics and Gynecology (552 citations) and Reproductive Medicine (334 citations). Bradley S. Snyder has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Constantine Gatsonis, J. L. Beard, Fenghai Duan, Richard E. Fine, J.R. Connor, E. J. Mufson, Hedvig Hricak, Donald G. Mitchell, Lawrence H. Schwartz and Judd E. Hollander. Their work appears in journals such as New England Journal of Medicine, Journal of the American Chemical Society and JAMA.
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.