Soonmi Won
Impact in
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
- Neurological Disease Mechanisms and Treatments
- Barrier Structure and Function Studies
- Traumatic Brain Injury and Neurovascular Disturbances
- Developmental Neuroscience top 10%
Papers in
-
- Neuroinflammation and Neurodegeneration Mechanisms 4
- Barrier Structure and Function Studies 2
- Traumatic Brain Injury and Neurovascular Disturbances 1
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- Cerebrovascular and Carotid Artery Diseases 2
- Co-authors
- Donald G. Stein (8 shared papers)Iqbal Sayeed (6 shared papers)Bushra Wali (4 shared papers)Jin Hwan Lee (4 shared papers)Bethany L. Peterson (2 shared papers)Shan Ping Yu (4 shared papers)Ling Wei (4 shared papers)Jae‐Kyung Lee (1 shared paper)
- Journals
- Stroke (2 papers)Experimental Neurology (1 paper)Neurobiology of Disease (1 paper)PLoS ONE (1 paper)Journal of Neuroinflammation (1 paper)
- Partner nations
- United StatesChinaSouth Korea
In The Last Decade
Soonmi Won
13 papers receiving 688 citations
Peers
Comparison fields: 5 of 83
- Neurology 257
- Developmental Neuroscience 63
- Critical Care and Intensive Care Medicine 50
- Behavioral Neuroscience 37
- Biological Psychiatry 18
Countries citing papers authored by Soonmi Won
This map shows the geographic impact of Soonmi Won'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 Soonmi Won with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Soonmi Won more than expected).
Fields of papers citing papers by Soonmi Won
This network shows the impact of papers produced by Soonmi Won. 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 Soonmi Won. The network helps show where Soonmi Won may publish in the future.
Co-authors
The 24 scholars most cited alongside Soonmi Won, 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 | 2016 | 117 | |
| 2 | 2015 | 115 | |
| 3 | 2013 | 88 | |
| 4 | 2015 | 72 | |
| 5 | 2013 | 70 | |
| 6 | 2015 | 49 | |
| 7 | 2017 | 46 | |
| 8 | 2016 | 45 | |
| 9 | 2015 | 29 | |
| 10 | 2016 | 26 | |
| 11 | 2015 | 22 | |
| 12 | 2020 | 13 | |
| 13 | 2013 | 1 |
About Soonmi Won
Soonmi Won is a scholar working on Neurology, Pulmonary and Respiratory Medicine, Epidemiology, Molecular Biology and Critical Care and Intensive Care Medicine, having authored 13 papers that have together received 693 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Acute Ischemic Stroke Management (3 papers), Barrier Structure and Function Studies (2 papers), Cerebrovascular and Carotid Artery Diseases (2 papers), Thermal Regulation in Medicine (2 papers), Autism Spectrum Disorder Research (1 paper), Neurogenesis and neuroplasticity mechanisms (1 paper) and Traumatic Brain Injury and Neurovascular Disturbances (1 paper). The work is most often cited by research in Neurology (257 citations), Developmental Neuroscience (63 citations), Critical Care and Intensive Care Medicine (50 citations), Behavioral Neuroscience (37 citations) and Biological Psychiatry (18 citations). Soonmi Won has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Donald G. Stein, Iqbal Sayeed, Bushra Wali, Jin Hwan Lee, Bethany L. Peterson, Shan Ping Yu, Ling Wei, Jae‐Kyung Lee, Zheng Wei and Jared S. Kahn. Their work appears in journals such as Stroke, Experimental Neurology, Neurobiology of Disease, PLoS ONE and Journal of Neuroinflammation.
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.