David J. Pinsky
Impact in
- Neurology top 0.2%
- Neuroinflammation and Neurodegeneration Mechanisms
- Physiology top 0.1%
- Adenosine and Purinergic Signaling
- Nitric Oxide and Endothelin Effects
Papers in
- Physiology 29
- Nitric Oxide and Endothelin Effects 31
- Adenosine and Purinergic Signaling 29
- Neurology 23
- Neuroinflammation and Neurodegeneration Mechanisms 20
- Co-authors
- Hui LiaoDavid M. SternJ BrettE. Sander ConnollyYoshifumi NakaD SternAnn Marie SchmidtS D Yan
- Journals
- Journal of Clinical Investigation (19 papers)Circulation Research (12 papers)Journal of Biological Chemistry (10 papers)Circulation (8 papers)Arteriosclerosis Thrombosis and Vascular Biology (8 papers)
- Partner nations
- United StatesJapanUnited Kingdom
In The Last Decade
David J. Pinsky
185 papers receiving 14.7k citations
Hit Papers
Peers
Comparison fields: 5 of 156
- Neurology 2.0k
- Physiology 1.1k
- Clinical Biochemistry 1.5k
- Immunology 2.8k
- Internal Medicine 402
Countries citing papers authored by David J. Pinsky
This map shows the geographic impact of David J. Pinsky'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 J. Pinsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David J. Pinsky more than expected).
Fields of papers citing papers by David J. Pinsky
This network shows the impact of papers produced by David J. Pinsky. 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 J. Pinsky. The network helps show where David J. Pinsky may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David J. Pinsky, 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 | 2024 | 3 | |
| 2 | 2023 | 16 | |
| 3 | 2022 | 1 | |
| 4 | 2022 | 3 | |
| 5 | 2012 | 1 | |
| 6 | 2012 | 0 | |
| 7 | 2011 | 84 | |
| 8 | 2011 | 10 | |
| 9 | 2010 | 51 | |
| 10 | 2009 | 98 | |
| 11 | 2009 | 33 | |
| 12 | 2008 | 47 | |
| 13 | 2008 | 158 | |
| 14 | 2003 | 69 | |
| 15 | 2002 | 138 | |
| 16 | 2001 | 107 | |
| 17 | 2000 | 405 | |
| 18 | 1999 | 12 | |
| 19 | 1995 | 1 | |
| 20 | 1994 | 113 |
About David J. Pinsky
David J. Pinsky is a scholar working on Physiology, Neurology, Immunology and Allergy, Physiology and Cancer Research, having authored 188 papers that have together received 15.0k indexed citations. Recurring topics across this work include Transplantation: Methods and Outcomes (39 papers), Nitric Oxide and Endothelin Effects (31 papers), Adenosine and Purinergic Signaling (29 papers), Cardiac Ischemia and Reperfusion (22 papers), Neuroinflammation and Neurodegeneration Mechanisms (20 papers), Cell Adhesion Molecules Research (16 papers), Cancer, Hypoxia, and Metabolism (15 papers) and Acute Ischemic Stroke Management (14 papers). The work is most often cited by research in Neurology (2.0k citations), Physiology (1.1k citations), Clinical Biochemistry (1.5k citations), Immunology (2.8k citations) and Internal Medicine (402 citations). David J. Pinsky has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Hui Liao, David M. Stern, J Brett, E. Sander Connolly, Yoshifumi Naka, D Stern, Ann Marie Schmidt, S D Yan, Shi‐Fang Yan and Tomoyuki Fujita. Their work appears in journals such as Journal of Clinical Investigation, Circulation Research, Journal of Biological Chemistry, Circulation and Arteriosclerosis Thrombosis and Vascular Biology.
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.