Yun‐Ui Bae

955 total citations
23 papers, 709 citations indexed

About

Yun‐Ui Bae is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Yun‐Ui Bae has authored 23 papers receiving a total of 709 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 7 papers in Cancer Research and 4 papers in Genetics. Recurrent topics in Yun‐Ui Bae's work include Extracellular vesicles in disease (7 papers), RNA Interference and Gene Delivery (5 papers) and MicroRNA in disease regulation (5 papers). Yun‐Ui Bae is often cited by papers focused on Extracellular vesicles in disease (7 papers), RNA Interference and Gene Delivery (5 papers) and MicroRNA in disease regulation (5 papers). Yun‐Ui Bae collaborates with scholars based in South Korea, Canada and United States. Yun‐Ui Bae's co-authors include Hoon‐Ki Sung, Seongho Ryu, András Nagy, Hyoungnae Kim, Soon Hyo Kwon, Hyunjin Noh, Jin Seok Jeon, Dong Cheol Han, Kristina Vintersten Nagy and Joe Eun Son and has published in prestigious journals such as Journal of Clinical Oncology, Cell Metabolism and The FASEB Journal.

In The Last Decade

Yun‐Ui Bae

23 papers receiving 700 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yun‐Ui Bae South Korea 13 412 219 178 165 119 23 709
Ming-Hui Zheng China 16 399 1.0× 82 0.4× 93 0.5× 175 1.1× 77 0.6× 32 684
You-Ying Chau United Kingdom 13 488 1.2× 311 1.4× 265 1.5× 54 0.3× 185 1.6× 18 954
Julien Villeneuve France 17 306 0.7× 79 0.4× 165 0.9× 50 0.3× 41 0.3× 27 753
Anne Leclercq France 11 284 0.7× 57 0.3× 78 0.4× 118 0.7× 83 0.7× 14 708
Lingling Shu China 14 274 0.7× 81 0.4× 119 0.7× 125 0.8× 40 0.3× 35 596
Ying Xie China 16 492 1.2× 73 0.3× 71 0.4× 157 1.0× 30 0.3× 50 805
Evelina Fagone Italy 16 251 0.6× 149 0.7× 91 0.5× 51 0.3× 42 0.4× 25 973
Sumbul Fatma United States 11 196 0.5× 126 0.6× 89 0.5× 68 0.4× 69 0.6× 14 562
Kensuke Tsushima Japan 7 452 1.1× 143 0.7× 109 0.6× 79 0.5× 76 0.6× 13 626
Dingyuan Jiang China 15 374 0.9× 105 0.5× 93 0.5× 203 1.2× 21 0.2× 31 854

Countries citing papers authored by Yun‐Ui Bae

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Yun‐Ui Bae

This figure shows the co-authorship network connecting the top 25 collaborators of Yun‐Ui Bae. A scholar is included among the top collaborators of Yun‐Ui Bae based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yun‐Ui Bae. Yun‐Ui Bae is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Bae, Yun‐Ui, et al.. (2024). ANKRD1 Promotes Breast Cancer Metastasis by Activating NF-κB-MAGE-A6 Pathway. Cancers. 16(19). 3306–3306. 2 indexed citations
2.
Choi, Dughyun, Haekyung Lee, Jin Seok Jeon, et al.. (2022). Weight Change Alters the Small RNA Profile of Urinary Extracellular Vesicles in Obesity. Obesity Facts. 15(2). 292–301. 3 indexed citations
3.
Sun, In O, Yun‐Ui Bae, Haekyung Lee, et al.. (2022). Circulating miRNAs in extracellular vesicles related to treatment response in patients with idiopathic membranous nephropathy. Journal of Translational Medicine. 20(1). 224–224. 10 indexed citations
4.
Bae, Yun‐Ui, et al.. (2021). Association of Protein Z with Prediabetes and Type 2 Diabetes. Endocrinology and Metabolism. 36(3). 637–646. 1 indexed citations
5.
Choi, Jong‐Soo, et al.. (2020). Enhancement of Liposomal Plasmid DNA and siRNA Delivery by Itraconazole through Intracellular Cholesterol Accumulation. Pharmaceutical Research. 37(7). 126–126. 8 indexed citations
6.
Jeon, Jin Seok, Yun‐Ui Bae, Haekyung Lee, et al.. (2020). microRNA in Extracellular Vesicles Released by Damaged Podocytes Promote Apoptosis of Renal Tubular Epithelial Cells. Cells. 9(6). 1409–1409. 42 indexed citations
7.
Kim, Hyoungnae, Yun‐Ui Bae, Jin Seok Jeon, et al.. (2019). The circulating exosomal microRNAs related to albuminuria in patients with diabetic nephropathy. Journal of Translational Medicine. 17(1). 236–236. 62 indexed citations
8.
Bae, Yun‐Ui, Yong-Jin Kim, Haekyung Lee, et al.. (2019). Bariatric Surgery Alters microRNA Content of Circulating Exosomes in Patients with Obesity. Obesity. 27(2). 264–271. 50 indexed citations
9.
Park, Sae Woong, Min Song, Sung Hyun Kim, et al.. (2018). Promotion of tumor progression and cancer stemness by MUC15 in thyroid cancer via the GPCR/ERK and integrin-FAK signaling pathways. Oncogenesis. 7(11). 85–85. 27 indexed citations
10.
Bae, Yun‐Ui, et al.. (2018). mirRICH, a simple method to enrich the small RNA fraction from over-dried RNA pellets. RNA Biology. 15(6). 1–10. 11 indexed citations
11.
Bae, Yun‐Ui, Hoon‐Ki Sung, & Jae-Ryong Kim. (2017). Collection of Serum- and Feeder-free Mouse Embryonic Stem Cell-conditioned Medium for a Cell-free Approach. Journal of Visualized Experiments. 2 indexed citations
12.
Bae, Yun‐Ui, et al.. (2017). Collection of Serum- and Feeder-free Mouse Embryonic Stem Cell-conditioned Medium for a Cell-free Approach. Journal of Visualized Experiments. 1 indexed citations
13.
Bae, Yun‐Ui, et al.. (2016). Enhancement of liposome mediated gene transfer by adding cholesterol and cholesterol modulating drugs. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1858(12). 3017–3023. 18 indexed citations
14.
Bae, Yun‐Ui, Joon Hyuk Choi, András Nagy, Hoon‐Ki Sung, & Jae‐Ryong Kim. (2015). Antisenescence effect of mouse embryonic stem cell conditioned medium through a PDGF/FGF pathway. The FASEB Journal. 30(3). 1276–1286. 27 indexed citations
15.
Seu, Young‐Bae, et al.. (2014). Efficient Delivery of Plasmid DNA Using Cholesterol-Based Cationic Lipids Containing Polyamines and Ether Linkages. International Journal of Molecular Sciences. 15(5). 7293–7312. 12 indexed citations
16.
Sung, Hoon‐Ki, Joe Eun Son, Jin Gyoon Park, et al.. (2013). Adipose Vascular Endothelial Growth Factor Regulates Metabolic Homeostasis through Angiogenesis. Cell Metabolism. 17(1). 61–72. 238 indexed citations
17.
Campeau, Philippe M., James T. Lu, Gautam Sule, et al.. (2012). Whole-exome sequencing identifies mutations in the nucleoside transporter gene SLC29A3 in dysosteosclerosis, a form of osteopetrosis. Human Molecular Genetics. 21(22). 4904–4909. 65 indexed citations
18.
Bae, Yun‐Ui, et al.. (2012). Endocytic Pathway and Resistance to Cholesterol Depletion of Cholesterol Derived Cationic Lipids for Gene Delivery. Molecular Pharmaceutics. 9(12). 3579–3585. 16 indexed citations
19.
Bae, Yun‐Ui, et al.. (2011). The synthesis of cholesterol-based cationic lipids with trimethylamine head and the effect of spacer structures on transfection efficiency. Bioorganic & Medicinal Chemistry Letters. 21(12). 3734–3737. 15 indexed citations
20.
Chung, Jae-Wook, et al.. (2005). Array CGH analysisin neoadjuvant chemotherapy for breast cancer. Journal of Clinical Oncology. 23(16_suppl). 786–786. 1 indexed citations

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.

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