Yun‐Ui Bae
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Physiology top 10%
- Adipose Tissue and Metabolism
Papers in
-
- Extracellular vesicles in disease 7
- RNA Interference and Gene Delivery 5
- Advanced biosensing and bioanalysis techniques 4
- Pluripotent Stem Cells Research 3
- Lipid Membrane Structure and Behavior 2
-
- MicroRNA in disease regulation 5
- Co-authors
- Hoon‐Ki Sung (4 shared papers)Seongho Ryu (8 shared papers)András Nagy (2 shared papers)Soon Hyo Kwon (6 shared papers)Jin Seok Jeon (6 shared papers)Hyoungnae Kim (5 shared papers)Hyunjin Noh (6 shared papers)Dong Cheol Han (5 shared papers)
- Journals
- Journal of Visualized Experiments (2 papers)Journal of Translational Medicine (2 papers)Cell Metabolism (1 paper)Molecular Pharmaceutics (1 paper)Obesity Facts (1 paper)
- Partner nations
- South KoreaCanadaUnited States
In The Last Decade
Yun‐Ui Bae
23 papers receiving 700 citations
Peers
Comparison fields: 5 of 76
- Cancer Research 165
- Physiology 219
- Nephrology 44
- Molecular Biology 412
- Cardiology and Cardiovascular Medicine 119
Countries citing papers authored by Yun‐Ui Bae
This map shows the geographic impact of Yun‐Ui Bae'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 Yun‐Ui Bae with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yun‐Ui Bae more than expected).
Fields of papers citing papers by Yun‐Ui Bae
This network shows the impact of papers produced by Yun‐Ui Bae. 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 Yun‐Ui Bae. The network helps show where Yun‐Ui Bae may publish in the future.
Co-authors
The 25 scholars most cited alongside Yun‐Ui Bae, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 238 | |
| 2 | 2012 | 65 | |
| 3 | 2019 | 62 | |
| 4 | 2018 | 62 | |
| 5 | 2019 | 50 | |
| 6 | 2020 | 42 | |
| 7 | 2020 | 35 | |
| 8 | 2018 | 27 | |
| 9 | 2015 | 27 | |
| 10 | 2016 | 18 | |
| 11 | 2012 | 16 | |
| 12 | 2011 | 15 | |
| 13 | 2014 | 12 | |
| 14 | 2018 | 11 | |
| 15 | 2022 | 10 | |
| 16 | 2020 | 8 | |
| 17 | 2022 | 3 | |
| 18 | 2017 | 2 | |
| 19 | 2024 | 2 | |
| 20 | 2021 | 1 |
About Yun‐Ui Bae
Yun‐Ui Bae is a scholar working on Molecular Biology, Cancer Research, Genetics, Surgery and Pathology and Forensic Medicine, having authored 23 papers that have together received 709 indexed citations. Recurring topics across this work include Extracellular vesicles in disease (7 papers), MicroRNA in disease regulation (5 papers), RNA Interference and Gene Delivery (5 papers), Advanced biosensing and bioanalysis techniques (4 papers), Tissue Engineering and Regenerative Medicine (3 papers), Pluripotent Stem Cells Research (3 papers), Lipid Membrane Structure and Behavior (2 papers) and Systemic Sclerosis and Related Diseases (2 papers). The work is most often cited by research in Cancer Research (165 citations), Physiology (219 citations), Nephrology (44 citations), Molecular Biology (412 citations) and Cardiology and Cardiovascular Medicine (119 citations). Yun‐Ui Bae has collaborated with scholars based in South Korea, Canada and United States. Frequent co-authors include Hoon‐Ki Sung, Seongho Ryu, András Nagy, Soon Hyo Kwon, Jin Seok Jeon, Hyoungnae Kim, Hyunjin Noh, Dong Cheol Han, Rebecca Cowling and Kyung‐Oh Doh. Their work appears in journals such as Journal of Visualized Experiments, Journal of Translational Medicine, Cell Metabolism, Molecular Pharmaceutics and Obesity Facts.
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.