Tamar S. Polonsky
- Cardiology and Cardiovascular Medicine top 1%
- Surgery top 2%
- Radiology, Nuclear Medicine and Imaging top 1%
- Pulmonary and Respiratory Medicine top 5%
- Endocrinology, Diabetes and Metabolism top 2%
- Co-authors
- Philip GreenlandMary McdermottGregory L. BurkeDavid C. GoffChristopher T. SibleyDavid M. HerringtonJ. Jeffrey CarrJoseph Yeboah
- Topics
- Peripheral Artery Disease Management (27 papers)Cardiac Imaging and Diagnostics (17 papers)Lymphatic System and Diseases (15 papers)
- Cited by
- Cardiology and Cardiovascular MedicineRadiology, Nuclear Medicine and ImagingEndocrinology, Diabetes and Metabolism
- Journals
- JAMACirculationSHILAP Revista de lepidopterología
- Partner nations
- United StatesCanadaChina
In The Last Decade
Tamar S. Polonsky
89 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Cardiology and Cardiovascular Medicine 1.9k
- Surgery 1.4k
- Radiology, Nuclear Medicine and Imaging 1.2k
- Pulmonary and Respiratory Medicine 592
- Endocrinology, Diabetes and Metabolism 587
Countries citing papers authored by Tamar S. Polonsky
This map shows the geographic impact of Tamar S. Polonsky'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 Tamar S. Polonsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tamar S. Polonsky more than expected).
Fields of papers citing papers by Tamar S. Polonsky
This network shows the impact of papers produced by Tamar S. Polonsky. 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 Tamar S. Polonsky. The network helps show where Tamar S. Polonsky may publish in the future.
Co-authorship network of co-authors of Tamar S. Polonsky
This figure shows the co-authorship network connecting the top 25 collaborators of Tamar S. Polonsky. A scholar is included among the top collaborators of Tamar S. Polonsky 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 Tamar S. Polonsky. Tamar S. Polonsky is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 13 | |
| 6 | 4 | |
| 7 | 0 | |
| 8 | 4 | |
| 9 | 10 | |
| 10 | 24 | |
| 11 | 0 | |
| 12 | 92 | |
| 13 | 8 | |
| 14 | 155 | |
| 15 | 170 | |
| 16 | 21 | |
| 17 | 20 | |
| 18 | 0 | |
| 19 | 4 | |
| 20 | 42 |
About Tamar S. Polonsky
Tamar S. Polonsky is a scholar working on Cardiology and Cardiovascular Medicine, Internal Medicine and Surgery, having authored 95 papers that have together received 4.1k indexed citations. Recurring topics across this work include Peripheral Artery Disease Management (27 papers), Cardiac Imaging and Diagnostics (17 papers) and Lymphatic System and Diseases (15 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.9k citations), Radiology, Nuclear Medicine and Imaging (1.2k citations) and Endocrinology, Diabetes and Metabolism (587 citations). Tamar S. Polonsky has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Philip Greenland, Mary Mcdermott, Gregory L. Burke, David C. Goff, Christopher T. Sibley, David M. Herrington, J. Jeffrey Carr, Joseph Yeboah, Robyn L. McClelland and Daniel E. O’Leary. Their work appears in journals such as JAMA, Circulation and SHILAP Revista de lepidopterología.
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.