Chaewon Park
Impact in
- Infectious Diseases top 10%
- SARS-CoV-2 detection and testing
- SARS-CoV-2 and COVID-19 Research
-
- Biosensors and Analytical Detection
Papers in
-
- Advanced biosensing and bioanalysis techniques 7
- Epidemiology 14
- Respiratory viral infections research 9
- Influenza Virus Research Studies 9
- Co-authors
- Daesub Song (23 shared papers)Sangyoun Lee (10 shared papers)Seungjoo Haam (22 shared papers)Geunseon Park (21 shared papers)Minjoo Yeom (22 shared papers)Woonsung Na (12 shared papers)Hyun‐Ouk Kim (11 shared papers)Suhwan Cho (6 shared papers)
- Journals
- Small (6 papers)Scientific Reports (3 papers)Advanced Functional Materials (3 papers)Biosensors and Bioelectronics (3 papers)Journal of Materials Chemistry B (3 papers)
- Partner nations
- South KoreaUnited StatesEthiopia
In The Last Decade
Chaewon Park
75 papers receiving 994 citations
Peers
Comparison fields: 5 of 136
- Infectious Diseases 121
- Biomedical Engineering 238
- Computer Vision and Pattern Recognition 103
- Molecular Biology 287
- Cancer Research 55
Countries citing papers authored by Chaewon Park
This map shows the geographic impact of Chaewon Park'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 Chaewon Park with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chaewon Park more than expected).
Fields of papers citing papers by Chaewon Park
This network shows the impact of papers produced by Chaewon Park. 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 Chaewon Park. The network helps show where Chaewon Park may publish in the future.
Co-authors
The 25 scholars most cited alongside Chaewon Park, 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 86 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 116 | |
| 2 | 2021 | 98 | |
| 3 | 2023 | 38 | |
| 4 | 2021 | 36 | |
| 5 | 2023 | 33 | |
| 6 | 2023 | 31 | |
| 7 | 2023 | 29 | |
| 8 | 2021 | 28 | |
| 9 | 2023 | 27 | |
| 10 | 2024 | 26 | |
| 11 | 2020 | 26 | |
| 12 | 2018 | 25 | |
| 13 | 2020 | 25 | |
| 14 | 2024 | 23 | |
| 15 | 2018 | 22 | |
| 16 | 2023 | 22 | |
| 17 | 2021 | 21 | |
| 18 | 2021 | 20 | |
| 19 | 2019 | 19 | |
| 20 | 2018 | 18 |
About Chaewon Park
Chaewon Park is a scholar working on Molecular Biology, Epidemiology, Biomedical Engineering, Computer Vision and Pattern Recognition and Geophysics, having authored 86 papers that have together received 1.0k indexed citations. Recurring topics across this work include Respiratory viral infections research (9 papers), Influenza Virus Research Studies (9 papers), Geological and Geochemical Analysis (8 papers), Advanced biosensing and bioanalysis techniques (7 papers), Immunotherapy and Immune Responses (5 papers), Visual Attention and Saliency Detection (5 papers), Advanced Sensor and Energy Harvesting Materials (4 papers) and Biosensors and Analytical Detection (4 papers). The work is most often cited by research in Infectious Diseases (121 citations), Biomedical Engineering (238 citations), Computer Vision and Pattern Recognition (103 citations), Molecular Biology (287 citations) and Cancer Research (55 citations). Chaewon Park has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Daesub Song, Sangyoun Lee, Seungjoo Haam, Geunseon Park, Minjoo Yeom, Woonsung Na, Hyun‐Ouk Kim, Suhwan Cho, Jinyoung Kim and Jong-Woo Lim. Their work appears in journals such as Small, Scientific Reports, Advanced Functional Materials, Biosensors and Bioelectronics and Journal of Materials Chemistry B.
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.