Jayoung Ku
Impact in
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- Cancer-related molecular mechanisms research
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- interferon and immune responses
Papers in
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- RNA modifications and cancer 4
- RNA regulation and disease 4
- RNA Research and Splicing 3
- Advanced biosensing and bioanalysis techniques 2
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- interferon and immune responses 5
- Co-authors
- Yoosik Kim (14 shared papers)Sujin Kim (5 shared papers)Kookheon Char (2 shared papers)Sheng Li (3 shared papers)Yong Seok Choi (1 shared paper)Yun Jong Lee (1 shared paper)Hyeonkyeong Kim (1 shared paper)Jin‐Hong Kim (1 shared paper)
- Journals
- Molecular Cell (2 papers)Biomacromolecules (2 papers)Nucleic Acids Research (2 papers)Communications Biology (2 papers)Experimental & Molecular Medicine (1 paper)
- Partner nations
- South KoreaPuerto RicoUnited States
In The Last Decade
Jayoung Ku
15 papers receiving 270 citations
Peers
Comparison fields: 5 of 61
- Cancer Research 50
- Immunology 52
- Molecular Biology 156
- Health, Toxicology and Mutagenesis 24
- Surfaces, Coatings and Films 11
Countries citing papers authored by Jayoung Ku
This map shows the geographic impact of Jayoung Ku'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 Jayoung Ku with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jayoung Ku more than expected).
Fields of papers citing papers by Jayoung Ku
This network shows the impact of papers produced by Jayoung Ku. 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 Jayoung Ku. The network helps show where Jayoung Ku may publish in the future.
Co-authors
The 25 scholars most cited alongside Jayoung Ku, 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 | 2022 | 53 | |
| 2 | 2020 | 33 | |
| 3 | 2019 | 25 | |
| 4 | 2022 | 25 | |
| 5 | 2018 | 21 | |
| 6 | 2024 | 20 | |
| 7 | 2024 | 19 | |
| 8 | 2020 | 15 | |
| 9 | 2024 | 15 | |
| 10 | 2021 | 13 | |
| 11 | 2020 | 12 | |
| 12 | 2023 | 9 | |
| 13 | 2021 | 9 | |
| 14 | 2018 | 3 | |
| 15 | 2025 | 1 | |
| 16 | 2026 | 0 | |
| 17 | 2025 | 0 |
About Jayoung Ku
Jayoung Ku is a scholar working on Molecular Biology, Immunology, Cancer Research, Biomedical Engineering and Neurology, having authored 17 papers that have together received 273 indexed citations. Recurring topics across this work include interferon and immune responses (5 papers), RNA modifications and cancer (4 papers), RNA regulation and disease (4 papers), RNA Research and Splicing (3 papers), Nanofabrication and Lithography Techniques (2 papers), Advanced biosensing and bioanalysis techniques (2 papers), Cancer-related molecular mechanisms research (2 papers) and Amyotrophic Lateral Sclerosis Research (1 paper). The work is most often cited by research in Cancer Research (50 citations), Immunology (52 citations), Molecular Biology (156 citations), Health, Toxicology and Mutagenesis (24 citations) and Surfaces, Coatings and Films (11 citations). Jayoung Ku has collaborated with scholars based in South Korea, Puerto Rico and United States. Frequent co-authors include Yoosik Kim, Sujin Kim, Kookheon Char, Sheng Li, Yong Seok Choi, Yun Jong Lee, Hyeonkyeong Kim, Jin‐Hong Kim, Yong Seuk Lee and Namseok Lee. Their work appears in journals such as Molecular Cell, Biomacromolecules, Nucleic Acids Research, Communications Biology and Experimental & Molecular 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.