David Beylin
Impact in
- Equine top 2%
- Veterinary Equine Medical Research
-
- Medical Imaging Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
Papers in
-
- Medical Imaging Techniques and Applications 9
- MRI in cancer diagnosis 2
- Equine 6
- Veterinary Equine Medical Research 6
- Co-authors
- Mathieu Spriet (8 shared papers)Larry D. Galuppo (5 shared papers)I. Weinberg (7 shared papers)Pavel Y. Stepanov (6 shared papers)Lee P. Adler (3 shared papers)Scott A. Katzman (4 shared papers)S. Dolinsky (2 shared papers)Kathryn Phillips (3 shared papers)
- Journals
- Veterinary Radiology & Ultrasound (5 papers)Equine Veterinary Journal (2 papers)Biological Psychiatry (1 paper)Journal of Nuclear Medicine (1 paper)Technology in Cancer Research & Treatment (1 paper)
- Partner nations
- United StatesRussiaItaly
In The Last Decade
David Beylin
18 papers receiving 255 citations
Peers
Comparison fields: 5 of 49
- Equine 78
- Radiology, Nuclear Medicine and Imaging 137
- Radiation 50
- Small Animals 40
- Orthopedics and Sports Medicine 40
Countries citing papers authored by David Beylin
This map shows the geographic impact of David Beylin'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 David Beylin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Beylin more than expected).
Fields of papers citing papers by David Beylin
This network shows the impact of papers produced by David Beylin. 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 David Beylin. The network helps show where David Beylin may publish in the future.
Co-authors
The 25 scholars most cited alongside David Beylin, 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 | 2003 | 55 | |
| 2 | 2005 | 49 | |
| 3 | 2018 | 35 | |
| 4 | 2017 | 22 | |
| 5 | 2016 | 21 | |
| 6 | 2004 | 17 | |
| 7 | 2022 | 11 | |
| 8 | 2021 | 10 | |
| 9 | 2020 | 8 | |
| 10 | 2021 | 8 | |
| 11 | 2004 | 7 | |
| 12 | 2012 | 6 | |
| 13 | 2005 | 5 | |
| 14 | 2011 | 5 | |
| 15 | 2022 | 4 | |
| 16 | 2015 | 2 | |
| 17 | 2023 | 1 | |
| 18 | 2022 | 1 | |
| 19 | 2015 | 0 |
About David Beylin
David Beylin is a scholar working on Radiology, Nuclear Medicine and Imaging, Equine, Surgery, Pulmonary and Respiratory Medicine and Radiation, having authored 19 papers that have together received 267 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (9 papers), Veterinary Equine Medical Research (6 papers), Digital Radiography and Breast Imaging (2 papers), Advanced X-ray and CT Imaging (2 papers), Veterinary Oncology Research (2 papers), MRI in cancer diagnosis (2 papers), Veterinary Orthopedics and Neurology (2 papers) and Breast Cancer Treatment Studies (1 paper). The work is most often cited by research in Equine (78 citations), Radiology, Nuclear Medicine and Imaging (137 citations), Radiation (50 citations), Small Animals (40 citations) and Orthopedics and Sports Medicine (40 citations). David Beylin has collaborated with scholars based in United States, Russia and Italy. Frequent co-authors include Mathieu Spriet, Larry D. Galuppo, I. Weinberg, Pavel Y. Stepanov, Lee P. Adler, Scott A. Katzman, S. Dolinsky, Kathryn Phillips, André Kyme and Deepa Narayanan. Their work appears in journals such as Veterinary Radiology & Ultrasound, Equine Veterinary Journal, Biological Psychiatry, Journal of Nuclear Medicine and Technology in Cancer Research & 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.