Stan Kurowski
Impact in
- Internal Medicine top 10%
- Venous Thromboembolism Diagnosis and Management
- Hematology top 10%
- Blood Coagulation and Thrombosis Mechanisms
- Platelet Disorders and Treatments
Papers in
-
- Antiplatelet Therapy and Cardiovascular Diseases 6
- Atrial Fibrillation Management and Outcomes 2
-
- Blood Coagulation and Thrombosis Mechanisms 6
- Platelet Disorders and Treatments 3
- Co-authors
- Madhu Chintala (7 shared papers)Ho-Sam Ahn (4 shared papers)Yunsheng Hsieh (4 shared papers)Samuel Chackalamannil (4 shared papers)William J. Greenlee (4 shared papers)Yan Xia (4 shared papers)George Boykow (4 shared papers)Zhiyong Hu (2 shared papers)
- Journals
- ACS Medicinal Chemistry Letters (2 papers)Pharmacology (1 paper)Journal of Pharmacology and Experimental Therapeutics (1 paper)Blood (1 paper)Bioorganic & Medicinal Chemistry Letters (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Stan Kurowski
14 papers receiving 348 citations
Peers
Comparison fields: 5 of 64
- Internal Medicine 56
- Hematology 129
- Cardiology and Cardiovascular Medicine 175
- Genetics 47
- Endocrine and Autonomic Systems 17
Countries citing papers authored by Stan Kurowski
This map shows the geographic impact of Stan Kurowski'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 Stan Kurowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stan Kurowski more than expected).
Fields of papers citing papers by Stan Kurowski
This network shows the impact of papers produced by Stan Kurowski. 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 Stan Kurowski. The network helps show where Stan Kurowski may publish in the future.
Co-authors
The 25 scholars most cited alongside Stan Kurowski, 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 | 2008 | 210 | |
| 2 | 2010 | 34 | |
| 3 | 1994 | 27 | |
| 4 | 2001 | 20 | |
| 5 | 2010 | 19 | |
| 6 | 2014 | 11 | |
| 7 | 1996 | 9 | |
| 8 | 2016 | 8 | |
| 9 | 2001 | 7 | |
| 10 | 2016 | 7 | |
| 11 | 1991 | 5 | |
| 12 | 2013 | 2 | |
| 13 | 2009 | 2 | |
| 14 | 2011 | 1 |
About Stan Kurowski
Stan Kurowski is a scholar working on Cardiology and Cardiovascular Medicine, Hematology, Genetics, Organic Chemistry and Epidemiology, having authored 14 papers that have together received 362 indexed citations. Recurring topics across this work include Blood Coagulation and Thrombosis Mechanisms (6 papers), Antiplatelet Therapy and Cardiovascular Diseases (6 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (4 papers), Platelet Disorders and Treatments (3 papers), Atrial Fibrillation Management and Outcomes (2 papers), Synthesis and Catalytic Reactions (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper) and Pain Mechanisms and Treatments (1 paper). The work is most often cited by research in Internal Medicine (56 citations), Hematology (129 citations), Cardiology and Cardiovascular Medicine (175 citations), Genetics (47 citations) and Endocrine and Autonomic Systems (17 citations). Stan Kurowski has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Madhu Chintala, Ho-Sam Ahn, Yunsheng Hsieh, Samuel Chackalamannil, William J. Greenlee, Yan Xia, George Boykow, Zhiyong Hu, Yuguang Wang and Jairam Palamanda. Their work appears in journals such as ACS Medicinal Chemistry Letters, Pharmacology, Journal of Pharmacology and Experimental Therapeutics, Blood and Bioorganic & Medicinal Chemistry Letters.
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.