Kiyoung Eun
Impact in
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- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
- MicroRNA in disease regulation
- Cancer Genomics and Diagnostics
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- Cancer Cells and Metastasis
Papers in
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- Pluripotent Stem Cells Research 5
- CRISPR and Genetic Engineering 5
- RNA Research and Splicing 2
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- MicroRNA in disease regulation 2
- Co-authors
- Hyunggee Kim (14 shared papers)Seok Won Ham (3 shared papers)Sang‐Hwan Hyun (6 shared papers)Seon‐Ung Hwang (6 shared papers)Seon Yong Lee (5 shared papers)Yeon Woo Jeong (3 shared papers)Woo Suk Hwang (3 shared papers)Jun-Kyum Kim (3 shared papers)
- Journals
- Biochemical and Biophysical Research Communications (1 paper)Biological Procedures Online (1 paper)Biotechnology Journal (1 paper)International Journal of Molecular Sciences (1 paper)PLoS ONE (1 paper)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Kiyoung Eun
14 papers receiving 407 citations
Peers
Comparison fields: 5 of 72
- Cancer Research 109
- Oncology 166
- Molecular Biology 244
- Genetics 25
- Biotechnology 21
Countries citing papers authored by Kiyoung Eun
This map shows the geographic impact of Kiyoung Eun'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 Kiyoung Eun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kiyoung Eun more than expected).
Fields of papers citing papers by Kiyoung Eun
This network shows the impact of papers produced by Kiyoung Eun. 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 Kiyoung Eun. The network helps show where Kiyoung Eun may publish in the future.
Co-authors
The 25 scholars most cited alongside Kiyoung Eun, 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 | 2017 | 272 | |
| 2 | 2019 | 26 | |
| 3 | 2019 | 21 | |
| 4 | 2023 | 20 | |
| 5 | 2017 | 10 | |
| 6 | 2016 | 10 | |
| 7 | 2017 | 10 | |
| 8 | 2020 | 9 | |
| 9 | 2017 | 7 | |
| 10 | 2018 | 7 | |
| 11 | 2021 | 6 | |
| 12 | 2022 | 5 | |
| 13 | 2019 | 5 | |
| 14 | 2022 | 3 | |
| 15 | 2025 | 0 | |
| 16 | 2025 | 0 |
About Kiyoung Eun
Kiyoung Eun is a scholar working on Molecular Biology, Cancer Research, Oncology, Genetics and Genetics, having authored 16 papers that have together received 411 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (5 papers), CRISPR and Genetic Engineering (5 papers), Virus-based gene therapy research (3 papers), RNA Research and Splicing (2 papers), Animal Genetics and Reproduction (2 papers), MicroRNA in disease regulation (2 papers), Cancer Cells and Metastasis (2 papers) and 3D Printing in Biomedical Research (2 papers). The work is most often cited by research in Cancer Research (109 citations), Oncology (166 citations), Molecular Biology (244 citations), Genetics (25 citations) and Biotechnology (21 citations). Kiyoung Eun has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Hyunggee Kim, Seok Won Ham, Sang‐Hwan Hyun, Seon‐Ung Hwang, Seon Yong Lee, Yeon Woo Jeong, Woo Suk Hwang, Jun-Kyum Kim, Xiong Jin and Hye-Min Jeon. Their work appears in journals such as Biochemical and Biophysical Research Communications, Biological Procedures Online, Biotechnology Journal, International Journal of Molecular Sciences and PLoS ONE.
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.