Ori Rogowski
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- Acute Myocardial Infarction Research 14
- Atrial Fibrillation Management and Outcomes 10
- Internal Medicine top 2%
- Epidemiology top 5%
- Adipokines, Inflammation, and Metabolic Diseases 45
- Sepsis Diagnosis and Treatment 18
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- Diabetes, Cardiovascular Risks, and Lipoproteins 17
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- Blood properties and coagulation 36
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- Streptococcal Infections and Treatments 12
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- Inflammatory Biomarkers in Disease Prognosis 12
Ori Rogowski
182 papers receiving 3.7k citations
Peers
Comparison fields: 5 of 145
- Cardiology and Cardiovascular Medicine 1.5k
- Internal Medicine 184
- Epidemiology 975
- Critical Care and Intensive Care Medicine 116
- Endocrinology, Diabetes and Metabolism 305
Countries citing papers authored by Ori Rogowski
This map shows the geographic impact of Ori Rogowski'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 Ori Rogowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ori Rogowski more than expected).
Fields of papers citing papers by Ori Rogowski
This network shows the impact of papers produced by Ori Rogowski. 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 Ori Rogowski. The network helps show where Ori Rogowski may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ori Rogowski, 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 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2023 | 2 | |
| 4 | 2023 | 6 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 2 | |
| 7 | 2022 | 2 | |
| 8 | 2020 | 5 | |
| 9 | 2019 | 14 | |
| 10 | 2019 | 19 | |
| 11 | 2019 | 1 | |
| 12 | 2018 | 6 | |
| 13 | 2017 | 5 | |
| 14 | 2017 | 22 | |
| 15 | 2010 | 17 | |
| 16 | 2009 | 80 | |
| 17 | 2007 | 175 | |
| 18 | 2006 | 1 | |
| 19 | 2001 | 12 | |
| 20 | Dissociation between the state of leukocyte adhesiveness/aggregation in the peripheral blood and the availability of the CD11B/CD18 and CD62L antigens on the surface of the cells in patients with stress. | 1998 | 2 |
About Ori Rogowski
Ori Rogowski is a scholar working on Cardiology and Cardiovascular Medicine, Internal Medicine, Epidemiology, Pulmonary and Respiratory Medicine and Endocrinology, Diabetes and Metabolism, having authored 183 papers that have together received 3.8k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (45 papers), Blood properties and coagulation (36 papers), Sepsis Diagnosis and Treatment (18 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (17 papers), Acute Myocardial Infarction Research (14 papers), Streptococcal Infections and Treatments (12 papers), Inflammatory Biomarkers in Disease Prognosis (12 papers) and Atrial Fibrillation Management and Outcomes (10 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.5k citations), Internal Medicine (184 citations), Epidemiology (975 citations), Critical Care and Intensive Care Medicine (116 citations) and Endocrinology, Diabetes and Metabolism (305 citations). Ori Rogowski has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include Shlomo Berliner, Itzhak Shapira, Arie Steinvil, David Zeltser, Sami Viskin, Bernard Belhassen, Shani Shenhar‐Tsarfaty, Dan Justo, Samuel Melamed and Aaron Polliack. Their work appears in journals such as The American Journal of Cardiology, Clinica Chimica Acta, Biomarkers, International Journal of Cardiology and Cardiovascular Diabetology.
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.