Yun‐Ui Bae
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Physiology top 10%
- Adipose Tissue and Metabolism
Papers in
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- Extracellular vesicles in disease 7
- RNA Interference and Gene Delivery 5
- Pluripotent Stem Cells Research 3
- Advanced biosensing and bioanalysis techniques 3
- Lipid Membrane Structure and Behavior 2
- Surgery 3
- Tissue Engineering and Regenerative Medicine 3
- Co-authors
- Kyung‐Oh Doh (8 shared papers)Hoon‐Ki Sung (5 shared papers)Seongho Ryu (8 shared papers)András Nagy (2 shared papers)Hyunjin Noh (6 shared papers)Jin Seok Jeon (6 shared papers)Soon Hyo Kwon (6 shared papers)Dong Cheol Han (5 shared papers)
- Journals
- Journal of Translational Medicine (2 papers)Journal of Visualized Experiments (2 papers)Journal of Clinical Oncology (1 paper)The FASEB Journal (1 paper)BMJ Open Diabetes Research & Care (1 paper)
- Partner nations
- South KoreaCanadaUnited States
In The Last Decade
Yun‐Ui Bae
23 papers receiving 720 citations
Peers
Comparison fields: 5 of 71
- Cancer Research 137
- Physiology 204
- Molecular Biology 389
- Nephrology 37
- Cardiology and Cardiovascular Medicine 106
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 | 242 | |
| 2 | 2012 | 66 | |
| 3 | 2019 | 65 | |
| 4 | 2018 | 62 | |
| 5 | 2019 | 50 | |
| 6 | 2020 | 44 | |
| 7 | 2020 | 38 | |
| 8 | 2018 | 29 | |
| 9 | 2015 | 28 | |
| 10 | 2016 | 18 | |
| 11 | 2012 | 16 | |
| 12 | 2011 | 15 | |
| 13 | 2014 | 12 | |
| 14 | 2018 | 12 | |
| 15 | 2022 | 10 | |
| 16 | 2020 | 8 | |
| 17 | 2022 | 4 | |
| 18 | 2024 | 3 | |
| 19 | 2017 | 2 | |
| 20 | 2005 | 1 |
About Yun‐Ui Bae
Yun‐Ui Bae is a scholar working on Molecular Biology, Surgery, Physiology, Immunology and Cancer Research, having authored 23 papers that have together received 728 indexed citations. Recurring topics across this work include Extracellular vesicles in disease (7 papers), RNA Interference and Gene Delivery (5 papers), Pluripotent Stem Cells Research (3 papers), Tissue Engineering and Regenerative Medicine (3 papers), Advanced biosensing and bioanalysis techniques (3 papers), Telomeres, Telomerase, and Senescence (2 papers), Immunotherapy and Immune Responses (2 papers) and Lipid Membrane Structure and Behavior (2 papers). The work is most often cited by research in Cancer Research (137 citations), Physiology (204 citations), Molecular Biology (389 citations), Nephrology (37 citations) and Cardiology and Cardiovascular Medicine (106 citations). Yun‐Ui Bae has collaborated with scholars based in South Korea, Canada and United States. Frequent co-authors include Kyung‐Oh Doh, Hoon‐Ki Sung, Seongho Ryu, András Nagy, Hyunjin Noh, Jin Seok Jeon, Soon Hyo Kwon, Dong Cheol Han, Hyoungnae Kim and Tony Pawson. Their work appears in journals such as Journal of Translational Medicine, Journal of Visualized Experiments, Journal of Clinical Oncology, The FASEB Journal and BMJ Open Diabetes Research & Care.
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.