Jun Lee
Impact in
- Internal Medicine top 5%
- Venous Thromboembolism Diagnosis and Management
- Rehabilitation top 5%
- Stroke Rehabilitation and Recovery
Papers in
- Epidemiology 19
- Acute Ischemic Stroke Management 17
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- Intracerebral and Subarachnoid Hemorrhage Research 3
- Co-authors
- Sung Ho Jang (3 shared papers)Sang Seok Yeo (2 shared papers)Chul Hoon Chang (1 shared paper)Jeong Pyo Seo (1 shared paper)Maarten G. Lansberg (2 shared papers)Gregory W. Albers (2 shared papers)Hee‐Joon Bae (14 shared papers)Matús Straka (1 shared paper)
- Journals
- Stroke (4 papers)Journal of Stroke (3 papers)Journal of Stroke and Cerebrovascular Diseases (2 papers)Experimental Neurology (1 paper)Journal of Hypertension (1 paper)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Jun Lee
32 papers receiving 756 citations
Peers
Comparison fields: 5 of 74
- Internal Medicine 90
- Rehabilitation 160
- Neurology 220
- Epidemiology 392
- Neurology 85
Countries citing papers authored by Jun Lee
This map shows the geographic impact of Jun Lee'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 Jun Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Lee more than expected).
Fields of papers citing papers by Jun Lee
This network shows the impact of papers produced by Jun Lee. 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 Jun Lee. The network helps show where Jun Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Lee, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 156 | |
| 2 | 2013 | 127 | |
| 3 | 2012 | 57 | |
| 4 | 2017 | 45 | |
| 5 | 2015 | 44 | |
| 6 | 2009 | 37 | |
| 7 | 2017 | 31 | |
| 8 | 2015 | 27 | |
| 9 | 2018 | 25 | |
| 10 | 2004 | 24 | |
| 11 | 2019 | 23 | |
| 12 | 2013 | 23 | |
| 13 | 2017 | 22 | |
| 14 | 2015 | 20 | |
| 15 | 2013 | 17 | |
| 16 | 2010 | 15 | |
| 17 | 2014 | 10 | |
| 18 | 2016 | 10 | |
| 19 | 2008 | 10 | |
| 20 | 2014 | 9 |
About Jun Lee
Jun Lee is a scholar working on Epidemiology, Neurology, Cardiology and Cardiovascular Medicine, Internal Medicine and Pulmonary and Respiratory Medicine, having authored 33 papers that have together received 777 indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (17 papers), Venous Thromboembolism Diagnosis and Management (8 papers), Cerebrovascular and Carotid Artery Diseases (6 papers), Stroke Rehabilitation and Recovery (4 papers), Advanced Neuroimaging Techniques and Applications (3 papers), Atrial Fibrillation Management and Outcomes (3 papers), Advanced MRI Techniques and Applications (3 papers) and Intracerebral and Subarachnoid Hemorrhage Research (3 papers). The work is most often cited by research in Internal Medicine (90 citations), Rehabilitation (160 citations), Neurology (220 citations), Epidemiology (392 citations) and Neurology (85 citations). Jun Lee has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Sung Ho Jang, Sang Seok Yeo, Chul Hoon Chang, Jeong Pyo Seo, Maarten G. Lansberg, Gregory W. Albers, Hee‐Joon Bae, Matús Straka, Jong‐Moo Park and Michael Mlynash. Their work appears in journals such as Stroke, Journal of Stroke, Journal of Stroke and Cerebrovascular Diseases, Experimental Neurology and Journal of Hypertension.
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.