Soon Bin Kwon
Impact in
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- Osteoarthritis Treatment and Mechanisms
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- SARS-CoV-2 and COVID-19 Research
- SARS-CoV-2 detection and testing
Papers in
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- Traumatic Brain Injury and Neurovascular Disturbances 5
- Intracerebral and Subarachnoid Hemorrhage Research 3
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- Osteoarthritis Treatment and Mechanisms 3
- Co-authors
- Hee Chan Kim (5 shared papers)Yunseo Ku (7 shared papers)Du Hyun Ro (4 shared papers)Baik Lin Seong (9 shared papers)Myung Chul Lee (2 shared papers)Hyuk‐Soo Han (3 shared papers)Ji Eun Yu (5 shared papers)Chan Park (4 shared papers)
- Journals
- Neurocritical Care (4 papers)International Journal of Molecular Sciences (3 papers)Scientific Reports (3 papers)Physiological Measurement (2 papers)IEEE Access (2 papers)
- Partner nations
- South KoreaUnited StatesGermany
In The Last Decade
Soon Bin Kwon
29 papers receiving 479 citations
Peers
Comparison fields: 5 of 102
- Rheumatology 72
- Infectious Diseases 82
- Neurology 63
- Health Informatics 6
- Radiology, Nuclear Medicine and Imaging 48
Countries citing papers authored by Soon Bin Kwon
This map shows the geographic impact of Soon Bin 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 Soon Bin Kwon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Soon Bin Kwon more than expected).
Fields of papers citing papers by Soon Bin Kwon
This network shows the impact of papers produced by Soon Bin 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 Soon Bin Kwon. The network helps show where Soon Bin Kwon may publish in the future.
Co-authors
The 25 scholars most cited alongside Soon Bin 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 92 | |
| 2 | 2020 | 54 | |
| 3 | 2020 | 39 | |
| 4 | 2022 | 33 | |
| 5 | 2019 | 28 | |
| 6 | 2019 | 21 | |
| 7 | 2020 | 21 | |
| 8 | 2018 | 21 | |
| 9 | 2021 | 20 | |
| 10 | 2019 | 18 | |
| 11 | 2022 | 17 | |
| 12 | 2018 | 12 | |
| 13 | 2023 | 12 | |
| 14 | 2022 | 12 | |
| 15 | 2023 | 11 | |
| 16 | 2018 | 10 | |
| 17 | 2023 | 10 | |
| 18 | 2023 | 10 | |
| 19 | 2019 | 9 | |
| 20 | 2022 | 9 |
About Soon Bin Kwon
Soon Bin Kwon is a scholar working on Neurology, Rheumatology, Nephrology, Biotechnology and Molecular Biology, having authored 32 papers that have together received 489 indexed citations. Recurring topics across this work include Traumatic Brain Injury and Neurovascular Disturbances (5 papers), RNA and protein synthesis mechanisms (4 papers), Heat shock proteins research (3 papers), Intracerebral and Subarachnoid Hemorrhage Research (3 papers), Osteoarthritis Treatment and Mechanisms (3 papers), RNA Research and Splicing (3 papers), Viral gastroenteritis research and epidemiology (2 papers) and Transgenic Plants and Applications (2 papers). The work is most often cited by research in Rheumatology (72 citations), Infectious Diseases (82 citations), Neurology (63 citations), Health Informatics (6 citations) and Radiology, Nuclear Medicine and Imaging (48 citations). Soon Bin Kwon has collaborated with scholars based in South Korea, United States and Germany. Frequent co-authors include Hee Chan Kim, Yunseo Ku, Du Hyun Ro, Baik Lin Seong, Myung Chul Lee, Hyuk‐Soo Han, Ji Eun Yu, Chan Park, Ahyun Son and Jinhee Lee. Their work appears in journals such as Neurocritical Care, International Journal of Molecular Sciences, Scientific Reports, Physiological Measurement and IEEE Access.
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.