Il Won Kwon
Impact in
- Neurology top 10%
- Barrier Structure and Function Studies
- Internal Medicine top 10%
- Venous Thromboembolism Diagnosis and Management
Papers in
- Hematology 10
- Blood Coagulation and Thrombosis Mechanisms 10
- Platelet Disorders and Treatments 5
- Epidemiology 15
- Acute Ischemic Stroke Management 15
- Co-authors
- Ji Hoe Heo (22 shared papers)Hyo Suk Nam (18 shared papers)Young Dae Kim (15 shared papers)Jayoung Kim (9 shared papers)Eun‐Hee Kim (1 shared paper)Gregory J. del Zoppo (1 shared paper)Hye Sun Lee (7 shared papers)Joonsang Yoo (4 shared papers)
- Journals
- Stroke (4 papers)Thrombosis and Haemostasis (3 papers)Journal of Stroke (3 papers)Thrombosis Research (2 papers)PLoS ONE (2 papers)
- Partner nations
- South KoreaUnited States
In The Last Decade
Il Won Kwon
27 papers receiving 556 citations
Peers
Comparison fields: 5 of 55
- Neurology 86
- Internal Medicine 27
- Epidemiology 258
- Hematology 87
- Genetics 34
Countries citing papers authored by Il Won Kwon
This map shows the geographic impact of Il Won Kwon'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 Il Won Kwon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Il Won Kwon more than expected).
Fields of papers citing papers by Il Won Kwon
This network shows the impact of papers produced by Il Won Kwon. 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 Il Won Kwon. The network helps show where Il Won Kwon may publish in the future.
Co-authors
The 25 scholars most cited alongside Il Won Kwon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 82 | |
| 2 | 2019 | 69 | |
| 3 | 2008 | 66 | |
| 4 | 2020 | 61 | |
| 5 | 2015 | 46 | |
| 6 | 2014 | 45 | |
| 7 | 2013 | 22 | |
| 8 | 2021 | 20 | |
| 9 | 2020 | 16 | |
| 10 | 2019 | 15 | |
| 11 | 2023 | 15 | |
| 12 | 2011 | 13 | |
| 13 | 2018 | 12 | |
| 14 | 2023 | 12 | |
| 15 | 2019 | 11 | |
| 16 | 2022 | 11 | |
| 17 | 2022 | 11 | |
| 18 | 2017 | 8 | |
| 19 | 2021 | 7 | |
| 20 | 2016 | 5 |
About Il Won Kwon
Il Won Kwon is a scholar working on Hematology, Epidemiology, Neurology, Pulmonary and Respiratory Medicine and Genetics, having authored 27 papers that have together received 566 indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (15 papers), Blood Coagulation and Thrombosis Mechanisms (10 papers), Platelet Disorders and Treatments (5 papers), Barrier Structure and Function Studies (4 papers), Blood properties and coagulation (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Atrial Fibrillation Management and Outcomes (1 paper) and Extracellular vesicles in disease (1 paper). The work is most often cited by research in Neurology (86 citations), Internal Medicine (27 citations), Epidemiology (258 citations), Hematology (87 citations) and Genetics (34 citations). Il Won Kwon has collaborated with scholars based in South Korea and United States. Frequent co-authors include Ji Hoe Heo, Hyo Suk Nam, Young Dae Kim, Jayoung Kim, Eun‐Hee Kim, Gregory J. del Zoppo, Hye Sun Lee, Joonsang Yoo, Dong Joon Kim and Byung Moon Kim. Their work appears in journals such as Stroke, Thrombosis and Haemostasis, Journal of Stroke, Thrombosis Research and PLoS ONE.
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.