Hyo Eun Moon
Impact in
- Biomedical Engineering top 5%
- 3D Printing in Biomedical Research
- Innovative Microfluidic and Catalytic Techniques Innovation
- Genetics top 10%
- Glioma Diagnosis and Treatment
Papers in
- Genetics 7
- Glioma Diagnosis and Treatment 5
- Mesenchymal stem cell research 2
- Co-authors
- Sun Ha Paek (24 shared papers)Yona Kim (7 shared papers)Jinah Jang (2 shared papers)Sung‐Hye Park (5 shared papers)Yeong‐Jin Choi (1 shared paper)Dong‐Woo Cho (1 shared paper)Young Hun Jeong (1 shared paper)Hee‐Gyeong Yi (1 shared paper)
- Journals
- Experimental Neurobiology (8 papers)Experimental & Molecular Medicine (2 papers)Molecular Cancer Therapeutics (1 paper)Molecular Oncology (1 paper)Theranostics (1 paper)
- Partner nations
- South KoreaUnited StatesEthiopia
In The Last Decade
Hyo Eun Moon
24 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Biomedical Engineering 548
- Genetics 132
- Biophysics 68
- Neurology 176
- Neurology 93
Countries citing papers authored by Hyo Eun Moon
This map shows the geographic impact of Hyo Eun Moon'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 Hyo Eun Moon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hyo Eun Moon more than expected).
Fields of papers citing papers by Hyo Eun Moon
This network shows the impact of papers produced by Hyo Eun Moon. 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 Hyo Eun Moon. The network helps show where Hyo Eun Moon may publish in the future.
Co-authors
The 25 scholars most cited alongside Hyo Eun Moon, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A bioprinted human-glioblastoma-on-a-chip for the identification of patient-specific responses to chemoradiotherapy Hit paper breakdown → | 2019 | 485 |
| 2 | 2015 | 318 | |
| 3 | 2016 | 150 | |
| 4 | 2016 | 91 | |
| 5 | 2020 | 72 | |
| 6 | 2015 | 72 | |
| 7 | 2021 | 38 | |
| 8 | 2010 | 36 | |
| 9 | 2020 | 25 | |
| 10 | 2015 | 20 | |
| 11 | Brain-metastatic triple-negative breast cancer cells regain growth ability by altering gene expression patterns. | 2014 | 20 |
| 12 | 2013 | 20 | |
| 13 | 2015 | 18 | |
| 14 | 2022 | 17 | |
| 15 | 2019 | 16 | |
| 16 | 2017 | 14 | |
| 17 | 2013 | 8 | |
| 18 | 2025 | 8 | |
| 19 | 2014 | 8 | |
| 20 | 2024 | 6 |
About Hyo Eun Moon
Hyo Eun Moon is a scholar working on Molecular Biology, Genetics, Biomedical Engineering, Cellular and Molecular Neuroscience and Neurology, having authored 24 papers that have together received 1.5k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (5 papers), Innovative Microfluidic and Catalytic Techniques Innovation (3 papers), 3D Printing in Biomedical Research (3 papers), Mesenchymal stem cell research (2 papers), Nanoplatforms for cancer theranostics (2 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), Cancer Cells and Metastasis (2 papers) and Ferroptosis and cancer prognosis (2 papers). The work is most often cited by research in Biomedical Engineering (548 citations), Genetics (132 citations), Biophysics (68 citations), Neurology (176 citations) and Neurology (93 citations). Hyo Eun Moon has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Sun Ha Paek, Yona Kim, Jinah Jang, Sung‐Hye Park, Yeong‐Jin Choi, Dong‐Woo Cho, Young Hun Jeong, Hee‐Gyeong Yi, Hyewon Youn and Kyung Shin Kang. Their work appears in journals such as Experimental Neurobiology, Experimental & Molecular Medicine, Molecular Cancer Therapeutics, Molecular Oncology and Theranostics.
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.