Patti Polinsky
Impact in
- Immunology top 10%
- Atherosclerosis and Cardiovascular Diseases
- Immunology and Allergy top 10%
- Cell Adhesion Molecules Research
Papers in
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- Protease and Inhibitor Mechanisms 4
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- Atherosclerosis and Cardiovascular Diseases 4
- Co-authors
- Michael E. Rosenfeld (3 shared papers)Katalin Kauser (2 shared papers)Stephen M. Schwartz (2 shared papers)Gabor M. Rubanyi (2 shared papers)Renu Virmani (1 shared paper)Stephen M. Schwartz (4 shared papers)Donna M. Lombardi (2 shared papers)Shin‐ichi Suga (1 shared paper)
- Journals
- Arteriosclerosis Thrombosis and Vascular Biology (2 papers)Cardiovascular Pathology (1 paper)Hypertension (1 paper)Annals of the Rheumatic Diseases (1 paper)American Journal Of Pathology (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Patti Polinsky
8 papers receiving 677 citations
Peers
Comparison fields: 5 of 74
- Immunology 254
- Immunology and Allergy 55
- Nephrology 60
- Endocrinology, Diabetes and Metabolism 129
- Cancer Research 92
Countries citing papers authored by Patti Polinsky
This map shows the geographic impact of Patti Polinsky'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 Patti Polinsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patti Polinsky more than expected).
Fields of papers citing papers by Patti Polinsky
This network shows the impact of papers produced by Patti Polinsky. 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 Patti Polinsky. The network helps show where Patti Polinsky may publish in the future.
Co-authors
The 25 scholars most cited alongside Patti Polinsky, 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 | 2000 | 303 | |
| 2 | 1999 | 136 | |
| 3 | 1997 | 73 | |
| 4 | 2002 | 71 | |
| 5 | 1968 | 41 | |
| 6 | 2005 | 38 | |
| 7 | 2006 | 34 | |
| 8 | A DIRECT NAA METHOD FOR DETERMINATION OF GOLD IN SERUM AND URINE SPECIMENS OF PATIENTS WITH RHEUMATOID ARTHRITIS. | 1967 | 1 |
About Patti Polinsky
Patti Polinsky is a scholar working on Cancer Research, Immunology, Surgery, Pulmonary and Respiratory Medicine and Molecular Biology, having authored 8 papers that have together received 697 indexed citations. Recurring topics across this work include Atherosclerosis and Cardiovascular Diseases (4 papers), Protease and Inhibitor Mechanisms (4 papers), Coronary Interventions and Diagnostics (2 papers), Cerebrovascular and Carotid Artery Diseases (2 papers), Lipoproteins and Cardiovascular Health (1 paper), Renal Diseases and Glomerulopathies (1 paper), Renin-Angiotensin System Studies (1 paper) and Cell Adhesion Molecules Research (1 paper). The work is most often cited by research in Immunology (254 citations), Immunology and Allergy (55 citations), Nephrology (60 citations), Endocrinology, Diabetes and Metabolism (129 citations) and Cancer Research (92 citations). Patti Polinsky has collaborated with scholars based in United States and China. Frequent co-authors include Michael E. Rosenfeld, Katalin Kauser, Stephen M. Schwartz, Gabor M. Rubanyi, Renu Virmani, Stephen M. Schwartz, Donna M. Lombardi, Shin‐ichi Suga, Richard J. Johnson and Katherine Gordon. Their work appears in journals such as Arteriosclerosis Thrombosis and Vascular Biology, Cardiovascular Pathology, Hypertension, Annals of the Rheumatic Diseases and American Journal Of Pathology.
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.