Seon‐Young Kim
- Cancer Research top 1%
- Cancer-related molecular mechanisms research 27
- Cancer Genomics and Diagnostics 17
- Molecular Biology top 1%
- RNA modifications and cancer 41
- Epigenetics and DNA Methylation 41
- Cancer-related gene regulation 31
- Gene expression and cancer classification 18
- Bioinformatics and Genomic Networks 17
- Biological Psychiatry top 5%
- Cell Biology top 1%
- Aging top 5%
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- Genetic factors in colorectal cancer 20
- Co-authors
- David J. VolskySeon‐Kyu KimJong‐Lyul ParkYong Sung KimTae-Wook KangYong‐Sung KimJeong‐Hwan KimByoung-Ha Yoon
- Journals
- Science (1 paper)Proceedings of the National Academy of Sciences (2 papers)Nucleic Acids Research (6 papers)
- Partner nations
- South KoreaUnited StatesUnited Kingdom
In The Last Decade
Seon‐Young Kim
270 papers receiving 8.0k citations
Hit Papers
Peers
Comparison fields: 5 of 182
- Cancer Research 1.6k
- Molecular Biology 5.2k
- Biological Psychiatry 145
- Cell Biology 775
- Aging 80
Countries citing papers authored by Seon‐Young Kim
This map shows the geographic impact of Seon‐Young Kim'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 Seon‐Young Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seon‐Young Kim more than expected).
Fields of papers citing papers by Seon‐Young Kim
This network shows the impact of papers produced by Seon‐Young Kim. 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 Seon‐Young Kim. The network helps show where Seon‐Young Kim may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Seon‐Young Kim, 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 | 4 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 3 | |
| 7 | 2023 | 0 | |
| 8 | 2023 | 5 | |
| 9 | 2022 | 13 | |
| 10 | 2022 | 3 | |
| 11 | 2022 | 15 | |
| 12 | 2020 | 1 | |
| 13 | 2020 | 35 | |
| 14 | 2020 | 4 | |
| 15 | 2019 | 20 | |
| 16 | 2018 | 109 | |
| 17 | 2018 | 53 | |
| 18 | 2017 | 19 | |
| 19 | 2017 | 12 | |
| 20 | An Innovative and Unconventional Approach to Program Evaluation in the Field of Substance Abuse Prevention: A Threshold-Gating Approach Using Single System Evaluation Designs | 1994 | 4 |
About Seon‐Young Kim
Seon‐Young Kim is a scholar working on Leadership and Management, Cancer Research and Molecular Biology, having authored 280 papers that have together received 8.1k indexed citations. Recurring topics across this work include RNA modifications and cancer (41 papers), Epigenetics and DNA Methylation (41 papers), Cancer-related gene regulation (31 papers), Cancer-related molecular mechanisms research (27 papers), Genetic factors in colorectal cancer (20 papers), Gene expression and cancer classification (18 papers), Cancer Genomics and Diagnostics (17 papers) and Bioinformatics and Genomic Networks (17 papers). The work is most often cited by research in Cancer Research (1.6k citations), Molecular Biology (5.2k citations) and Biological Psychiatry (145 citations). Seon‐Young Kim has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include David J. Volsky, Seon‐Kyu Kim, Jong‐Lyul Park, Yong Sung Kim, Tae-Wook Kang, Yong‐Sung Kim, Jeong‐Hwan Kim, Byoung-Ha Yoon, Mirang Kim and Hojeong Kang. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.