Young Sun Oh

1.3k total citations
34 papers, 1.0k citations indexed

About

Young Sun Oh is a scholar working on Molecular Biology, Biomedical Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Young Sun Oh has authored 34 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 9 papers in Biomedical Engineering and 7 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Young Sun Oh's work include RNA modifications and cancer (8 papers), RNA and protein synthesis mechanisms (6 papers) and Force Microscopy Techniques and Applications (4 papers). Young Sun Oh is often cited by papers focused on RNA modifications and cancer (8 papers), RNA and protein synthesis mechanisms (6 papers) and Force Microscopy Techniques and Applications (4 papers). Young Sun Oh collaborates with scholars based in South Korea, United States and Switzerland. Young Sun Oh's co-authors include Sung‐Hoon Kim, Bum-Joon Park, Jin Young Lee, Jung Min Han, So Jung Choi, Dae Gyu Kim, Nam Hoon Kwon, Taehee Kang, Jae‐Il Park and Sohee Jun and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Young Sun Oh

31 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Young Sun Oh South Korea 16 737 169 152 91 75 34 1.0k
Neng-Yao Shih Taiwan 10 641 0.9× 181 1.1× 171 1.1× 82 0.9× 79 1.1× 13 844
Zhiwei Qiu China 11 598 0.8× 214 1.3× 161 1.1× 125 1.4× 144 1.9× 29 1.1k
Kenji Kita Japan 21 507 0.7× 153 0.9× 330 2.2× 95 1.0× 179 2.4× 50 1.1k
Yung‐Mae Yao United States 12 757 1.0× 103 0.6× 279 1.8× 144 1.6× 81 1.1× 25 1.2k
Rainer Wittig Germany 21 611 0.8× 196 1.2× 144 0.9× 233 2.6× 89 1.2× 45 1.2k
Jiwei Wang China 20 740 1.0× 310 1.8× 177 1.2× 131 1.4× 93 1.2× 44 1.1k
Claudia Fredolini Sweden 23 711 1.0× 215 1.3× 211 1.4× 160 1.8× 131 1.7× 59 1.4k
Tatsuya Kawase Japan 16 471 0.6× 107 0.6× 316 2.1× 149 1.6× 124 1.7× 34 957
Wenpeng Cao China 14 340 0.5× 186 1.1× 69 0.5× 46 0.5× 156 2.1× 42 714

Countries citing papers authored by Young Sun Oh

Since Specialization
Citations

This map shows the geographic impact of Young Sun Oh'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 Young Sun Oh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Young Sun Oh more than expected).

Fields of papers citing papers by Young Sun Oh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Young Sun Oh. 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 Young Sun Oh. The network helps show where Young Sun Oh may publish in the future.

Co-authorship network of co-authors of Young Sun Oh

This figure shows the co-authorship network connecting the top 25 collaborators of Young Sun Oh. A scholar is included among the top collaborators of Young Sun Oh 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 Young Sun Oh. Young Sun Oh 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.
Kwak, Dongwook, Hye Jin Chang, Ji Eun Kim, et al.. (2025). Enhancing anti-tumor immunity through TIGIT blockade and tumor-directed targeting in pancreatic cancer. International Immunopharmacology. 167. 115653–115653.
2.
Jo, Hanjoong, Somin Lee, In-Ae Park, et al.. (2025). A 3D Microfluidic Model of Initial Lymphatic Vessels for Investigating Dendritic Cell Chemotaxis Under Inflammatory Condition. BioChip Journal. 19(4). 836–848. 1 indexed citations
3.
Kim, Youngtaek, Jungseub Lee, Sangmin Jung, et al.. (2024). Flow‐IMPACT: A Pumpless, High‐Throughput 3D Cell Culture Platform for Investigation of Synergistic Angiogenic Effects. Advanced Materials Technologies. 10(11).
4.
Sung, Ki Sa, Sang Jun Han, Ji-Hye Lee, et al.. (2024). Identification of Plasma Protein Biomarkers for Predicting Lung Cancer. Anticancer Research. 44(11). 5147–5155. 2 indexed citations
6.
Jun, Sohee, Youn‐Sang Jung, Han Na Suh, et al.. (2016). LIG4 mediates Wnt signalling-induced radioresistance. Nature Communications. 7(1). 10994–10994. 94 indexed citations
7.
Wang, Xin, Youn‐Sang Jung, Sohee Jun, et al.. (2016). PAF-Wnt signaling-induced cell plasticity is required for maintenance of breast cancer cell stemness. Nature Communications. 7(1). 10633–10633. 71 indexed citations
8.
Lee, Jin Young, Byung‐Gyu Kim, Won Suk Yang, et al.. (2014). Promiscuous methionyl-tRNA synthetase mediates adaptive mistranslation against oxidative stresses. Journal of Cell Science. 127(Pt 19). 4234–45. 75 indexed citations
9.
Lee, Seunghee, Kyung–Rok Yu, Young Sun Oh, et al.. (2014). miR-543 and miR-590-3p regulate human mesenchymal stem cell aging via direct targeting of AIMP3/p18. AGE. 36(6). 9724–9724. 53 indexed citations
10.
Jung, Su Myung, Jinyoung Park, Young Sun Oh, et al.. (2013). Smad6 inhibits non-canonical TGF-β1 signalling by recruiting the deubiquitinase A20 to TRAF6. Nature Communications. 4(1). 2562–2562. 86 indexed citations
11.
Bae, Taejeong, Jihyun Lee, Dae Gyu Kim, et al.. (2012). Rational drug repositioning guided by an integrated pharmacological network of protein, disease and drug. BMC Systems Biology. 6(1). 80–80. 65 indexed citations
12.
Oh, Young Sun, Dae Gyu Kim, Gyuyoup Kim, et al.. (2010). Downregulation of lamin A by tumor suppressor AIMP3/p18 leads to a progeroid phenotype in mice. Aging Cell. 9(5). 810–822. 41 indexed citations
13.
Choi, Chulmin, et al.. (2010). Enhanced Magnetic Properties of Bit Patterned Magnetic Recording Media by Trench-Filled Nanostructure. Electronic Materials Letters. 6(3). 113–116. 6 indexed citations
14.
Noh, Kunbae, Chulmin Choi, Jin‐Yeol Kim, et al.. (2010). Long-range ordered aluminum oxide nanotubes by nanoimprint-assisted aluminum film surface engineering. Journal of Vacuum Science & Technology B Nanotechnology and Microelectronics Materials Processing Measurement and Phenomena. 28(6). C6M88–C6M92. 2 indexed citations
15.
Choi, Chulmin, Karla S. Brammer, Kunbae Noh, et al.. (2010). Strongly superhydrophobic silicon nanowires by supercritical CO2 drying. Electronic Materials Letters. 6(2). 59–64. 15 indexed citations
16.
Kim, Kyung‐Jin, Min‐Chul Park, So Jung Choi, et al.. (2008). Determination of Three-dimensional Structure and Residues of the Novel Tumor Suppressor AIMP3/p18 Required for the Interaction with ATM. Journal of Biological Chemistry. 283(20). 14032–14040. 37 indexed citations
17.
Park, Bum-Joon, Young Sun Oh, Seung‐Yong Park, et al.. (2006). AIMP3 Haploinsufficiency Disrupts Oncogene-Induced p53 Activation and Genomic Stability. Cancer Research. 66(14). 6913–6918. 49 indexed citations
18.
Oh, Young Sun, et al.. (2004). The effect of acute normovolemic haemodilution on cerebral oxygenation. International Journal of Clinical Practice. 58(10). 903–906. 20 indexed citations
19.
Oh, Young Sun, et al.. (2001). Nanopatterning of self-assembled monolayers on Si-surfaces with AFM lithography. Synthetic Metals. 117(1-3). 305–306. 14 indexed citations
20.
Kim, Jin Chul, et al.. (1998). Atomic Force Microscope Based Nanolithography of Self-Assembled Organosilane Monolayer Resists. Japanese Journal of Applied Physics. 37(12S). 7148–7148. 9 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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