Richard G. Abramson
- Radiology, Nuclear Medicine and Imaging top 1%
- Oncology top 5%
- Molecular Biology
- Computer Vision and Pattern Recognition top 5%
- Pulmonary and Respiratory Medicine top 10%
- Co-authors
- Thomas E. YankeelovBennett A. LandmanZhoubing XuLori R. ArlinghausMichael S. LipkowitzVandana G. AbramsonYuankai HuoC. Chad Quarles
- Topics
- Radiomics and Machine Learning in Medical Imaging (29 papers)Medical Imaging Techniques and Applications (26 papers)MRI in cancer diagnosis (17 papers)
- Journals
- Journal of Biological ChemistryJournal of Clinical InvestigationJournal of Clinical Oncology
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Richard G. Abramson
101 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 158
- Radiology, Nuclear Medicine and Imaging 1.3k
- Oncology 468
- Molecular Biology 345
- Computer Vision and Pattern Recognition 344
- Pulmonary and Respiratory Medicine 339
Countries citing papers authored by Richard G. Abramson
This map shows the geographic impact of Richard G. Abramson'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 Richard G. Abramson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard G. Abramson more than expected).
Fields of papers citing papers by Richard G. Abramson
This network shows the impact of papers produced by Richard G. Abramson. 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 Richard G. Abramson. The network helps show where Richard G. Abramson may publish in the future.
Co-authorship network of co-authors of Richard G. Abramson
This figure shows the co-authorship network connecting the top 25 collaborators of Richard G. Abramson. A scholar is included among the top collaborators of Richard G. Abramson 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 Richard G. Abramson. Richard G. Abramson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 18 | |
| 2 | 2 | |
| 3 | 113 | |
| 4 | 20 | |
| 5 | 10 | |
| 6 | 59 | |
| 7 | 10 | |
| 8 | 50 | |
| 9 | 13 | |
| 10 | 4 | |
| 11 | 6 | |
| 12 | 32 | |
| 13 | 64 | |
| 14 | 68 | |
| 15 | 16 | |
| 16 | 13 | |
| 17 | 5 | |
| 18 | Prescription drugs in nursing homes: managing costs and quality in a complex environment. | 18 |
| 19 | 45 | |
| 20 | 27 |
About Richard G. Abramson
Richard G. Abramson is a scholar working on Radiology, Nuclear Medicine and Imaging, Nephrology and Oncology, having authored 101 papers that have together received 2.7k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (29 papers), Medical Imaging Techniques and Applications (26 papers) and MRI in cancer diagnosis (17 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.3k citations), Health Informatics (29 citations) and Oncology (468 citations). Richard G. Abramson has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Thomas E. Yankeelov, Bennett A. Landman, Zhoubing Xu, Lori R. Arlinghaus, Michael S. Lipkowitz, Vandana G. Abramson, Yuankai Huo, C. Chad Quarles, Albert Assad and Shunxing Bao. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Journal of Clinical Oncology.
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.