Yong Shik Kwon
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- COVID-19 Clinical Research Studies 9
- SARS-CoV-2 and COVID-19 Research 2
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- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis 5
- Lung Cancer Diagnosis and Treatment 3
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- COVID-19 diagnosis using AI 5
- Radiomics and Machine Learning in Medical Imaging 2
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- Long-Term Effects of COVID-19 4
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- COVID-19 and healthcare impacts 3
- Co-authors
- Jae Seok ParkHyun Jung KimSun Hyo ParkWon-Il ChoiMi Ae KimChoong Won LeeMi Young LeeHyun Ah Kim
- Partner nations
- South KoreaUnited States
In The Last Decade
Yong Shik Kwon
20 papers receiving 222 citations
Peers
Comparison fields: 5 of 65
- Infectious Diseases 99
- Internal Medicine 13
- Epidemiology 111
- Small Animals 21
- Emergency Medical Services 14
Countries citing papers authored by Yong Shik Kwon
This map shows the geographic impact of Yong Shik 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 Yong Shik Kwon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yong Shik Kwon more than expected).
Fields of papers citing papers by Yong Shik Kwon
This network shows the impact of papers produced by Yong Shik 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 Yong Shik Kwon. The network helps show where Yong Shik Kwon may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yong Shik 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 6 | |
| 6 | 2023 | 2 | |
| 7 | 2023 | 0 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 0 | |
| 10 | 2021 | 1 | |
| 11 | 2020 | 5 | |
| 12 | 2020 | 18 | |
| 13 | 2020 | 7 | |
| 14 | 2020 | 11 | |
| 15 | 2020 | 10 | |
| 16 | 2020 | 8 | |
| 17 | 2020 | 27 | |
| 18 | 2018 | 13 | |
| 19 | 2018 | 9 | |
| 20 | 2017 | 67 |
About Yong Shik Kwon
Yong Shik Kwon is a scholar working on Infectious Diseases, Internal Medicine and Radiology, Nuclear Medicine and Imaging, having authored 25 papers that have together received 229 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (9 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (5 papers), COVID-19 diagnosis using AI (5 papers), Long-Term Effects of COVID-19 (4 papers), Lung Cancer Diagnosis and Treatment (3 papers), COVID-19 and healthcare impacts (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Infectious Diseases (99 citations), Internal Medicine (13 citations) and Epidemiology (111 citations). Yong Shik Kwon has collaborated with scholars based in South Korea and United States. Frequent co-authors include Jae Seok Park, Hyun Jung Kim, Sun Hyo Park, Won-Il Choi, Mi Ae Kim, Choong Won Lee, Mi Young Lee, Hyun Ah Kim, Ji Yeon Lee and Miri Hyun. Their work appears in journals such as PLoS ONE, Scientific Reports and Medicine.
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.