Sunyoung Kwon
Impact in
-
- Computational Drug Discovery Methods
- Dermatology top 10%
- Dermatology and Skin Diseases
Papers in
-
- Cancer-related gene regulation 2
-
- Advanced Graph Neural Networks 2
- Co-authors
- Sungroh Yoon (9 shared papers)Ho Bae (2 shared papers)Byunghan Lee (4 shared papers)Jaekoo Lee (2 shared papers)Jung Im Na (1 shared paper)Jaehyuk Choi (1 shared paper)Jung Won Shin (1 shared paper)Chang‐Hun Huh (1 shared paper)
- Journals
- IEEE Access (3 papers)Bioinformatics (2 papers)BMC Bioinformatics (2 papers)Clinical Cancer Research (1 paper)IEEE/ACM Transactions on Computational Biology and Bioinformatics (1 paper)
- Partner nations
- South KoreaUnited StatesEthiopia
In The Last Decade
Sunyoung Kwon
26 papers receiving 567 citations
Peers
Comparison fields: 5 of 121
- Computational Theory and Mathematics 158
- Dermatology 50
- Immunology and Allergy 29
- Cancer Research 69
- Molecular Biology 238
Countries citing papers authored by Sunyoung Kwon
This map shows the geographic impact of Sunyoung 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 Sunyoung Kwon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sunyoung Kwon more than expected).
Fields of papers citing papers by Sunyoung Kwon
This network shows the impact of papers produced by Sunyoung 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 Sunyoung Kwon. The network helps show where Sunyoung Kwon may publish in the future.
Co-authors
The 25 scholars most cited alongside Sunyoung 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 | 2019 | 171 | |
| 2 | 2018 | 81 | |
| 3 | 2018 | 58 | |
| 4 | 2021 | 51 | |
| 5 | 2014 | 49 | |
| 6 | 2017 | 36 | |
| 7 | 2013 | 22 | |
| 8 | 2022 | 15 | |
| 9 | 2023 | 15 | |
| 10 | 2024 | 14 | |
| 11 | 2018 | 14 | |
| 12 | 2013 | 9 | |
| 13 | 2020 | 8 | |
| 14 | Clinical and Prognostic Value of Human Mammary Tumor Virus in Korean Patients with Breast Carcinoma. | 2019 | 6 |
| 15 | 2018 | 6 | |
| 16 | 2014 | 5 | |
| 17 | 2019 | 4 | |
| 18 | METTL3 regulates alternative splicing of cell cycle-related genes via crosstalk between mRNA m6A modifications and splicing factors. | 2023 | 4 |
| 19 | 2014 | 4 | |
| 20 | 2020 | 3 |
About Sunyoung Kwon
Sunyoung Kwon is a scholar working on Molecular Biology, Artificial Intelligence, Cancer Research, Surgery and Information Systems, having authored 32 papers that have together received 585 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (3 papers), Computational Drug Discovery Methods (3 papers), Analytical Chemistry and Chromatography (2 papers), EEG and Brain-Computer Interfaces (2 papers), Cancer-related molecular mechanisms research (2 papers), Diverse Approaches in Healthcare and Education Studies (2 papers), Advanced Graph Neural Networks (2 papers) and Cancer-related gene regulation (2 papers). The work is most often cited by research in Computational Theory and Mathematics (158 citations), Dermatology (50 citations), Immunology and Allergy (29 citations), Cancer Research (69 citations) and Molecular Biology (238 citations). Sunyoung Kwon has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Sungroh Yoon, Ho Bae, Byunghan Lee, Jaekoo Lee, Jung Im Na, Jaehyuk Choi, Jung Won Shin, Chang‐Hun Huh, Kyungho Park and Minquan Du. Their work appears in journals such as IEEE Access, Bioinformatics, BMC Bioinformatics, Clinical Cancer Research and IEEE/ACM Transactions on Computational Biology and Bioinformatics.
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.