Sunyoung Kwon
Impact in
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- Computational Drug Discovery Methods
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- Allergic Rhinitis and Sensitization
Papers in
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- Genomics and Phylogenetic Studies 3
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- Advanced Graph Neural Networks 3
- Co-authors
- Sungroh Yoon (9 shared papers)Byunghan Lee (4 shared papers)Ho Bae (2 shared papers)Jaekoo Lee (2 shared papers)Jung Won Shin (1 shared paper)Kyungho Park (1 shared paper)Chang‐Hun Huh (1 shared paper)Jaehyuk Choi (1 shared paper)
- Journals
- IEEE Access (3 papers)BMC Bioinformatics (2 papers)Bioinformatics (2 papers)Clinical Cancer Research (1 paper)International Journal of Medical Sciences (1 paper)
- Partner nations
- South KoreaUnited StatesEthiopia
In The Last Decade
Sunyoung Kwon
26 papers receiving 525 citations
Peers
Comparison fields: 5 of 120
- Computational Theory and Mathematics 155
- Immunology and Allergy 35
- Dermatology 51
- Cancer Research 71
- Molecular Biology 245
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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 156 | |
| 2 | 2018 | 74 | |
| 3 | 2018 | 55 | |
| 4 | 2014 | 49 | |
| 5 | 2021 | 46 | |
| 6 | 2017 | 35 | |
| 7 | 2013 | 22 | |
| 8 | 2023 | 15 | |
| 9 | 2022 | 13 | |
| 10 | 2018 | 12 | |
| 11 | 2024 | 10 | |
| 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 | 2014 | 5 | |
| 16 | 2018 | 5 | |
| 17 | METTL3 regulates alternative splicing of cell cycle-related genes via crosstalk between mRNA m6A modifications and splicing factors. | 2023 | 4 |
| 18 | 2019 | 4 | |
| 19 | 2014 | 4 | |
| 20 | 2020 | 3 |
About Sunyoung Kwon
Sunyoung Kwon is a scholar working on Molecular Biology, Artificial Intelligence, Cancer Research, Oncology and Computational Theory and Mathematics, having authored 30 papers that have together received 544 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (4 papers), Machine Learning in Materials Science (4 papers), Genomics and Phylogenetic Studies (3 papers), Breast Cancer Treatment Studies (3 papers), Advanced Graph Neural Networks (3 papers), Analytical Chemistry and Chromatography (2 papers), HER2/EGFR in Cancer Research (2 papers) and Diverse Approaches in Healthcare and Education Studies (2 papers). The work is most often cited by research in Computational Theory and Mathematics (155 citations), Immunology and Allergy (35 citations), Dermatology (51 citations), Cancer Research (71 citations) and Molecular Biology (245 citations). Sunyoung Kwon has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Sungroh Yoon, Byunghan Lee, Ho Bae, Jaekoo Lee, Jung Won Shin, Kyungho Park, Chang‐Hun Huh, Jaehyuk Choi, Minquan Du and Jihyoung Cho. Their work appears in journals such as IEEE Access, BMC Bioinformatics, Bioinformatics, Clinical Cancer Research and International Journal of Medical Sciences.
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.