Yong Jae Shin

2.7k total citations
31 papers, 1.1k citations indexed

About

Yong Jae Shin is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Yong Jae Shin has authored 31 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 12 papers in Oncology and 7 papers in Immunology. Recurrent topics in Yong Jae Shin's work include Glioma Diagnosis and Treatment (6 papers), RNA Research and Splicing (4 papers) and Cancer Cells and Metastasis (3 papers). Yong Jae Shin is often cited by papers focused on Glioma Diagnosis and Treatment (6 papers), RNA Research and Splicing (4 papers) and Cancer Cells and Metastasis (3 papers). Yong Jae Shin collaborates with scholars based in South Korea, United States and Japan. Yong Jae Shin's co-authors include Jeong‐Ho Kim, Do‐Hyun Nam, Yeri Lee, Adhiraj Roy, Jong‐Wan Park, Yong Bae Kim, Byoung‐Hoon Min, Jun Hyuk Hong, Kun Huang and Se Hoon Kim and has published in prestigious journals such as Journal of Biological Chemistry, Neuron and The Journal of Experimental Medicine.

In The Last Decade

Yong Jae Shin

30 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yong Jae Shin South Korea 19 598 218 202 171 127 31 1.1k
Caiping Chen China 21 782 1.3× 214 1.0× 215 1.1× 161 0.9× 127 1.0× 68 1.5k
Hong Zheng China 19 621 1.0× 245 1.1× 159 0.8× 233 1.4× 62 0.5× 47 1.1k
Hideki Kamitani Japan 22 630 1.1× 198 0.9× 213 1.1× 135 0.8× 113 0.9× 64 1.5k
Weigang Tong United States 18 632 1.1× 270 1.2× 198 1.0× 139 0.8× 75 0.6× 30 1.4k
Yongmun Choi South Korea 15 1.3k 2.1× 226 1.0× 106 0.5× 118 0.7× 133 1.0× 34 1.7k
Jun Sunayama Japan 10 1.2k 2.0× 305 1.4× 241 1.2× 109 0.6× 91 0.7× 12 1.5k
Elisa Ciraolo Italy 22 884 1.5× 173 0.8× 83 0.4× 198 1.2× 110 0.9× 32 1.5k
Angelika Börsch-Haubold United Kingdom 11 908 1.5× 129 0.6× 174 0.9× 253 1.5× 197 1.6× 15 1.5k
Margaret A. Lawlor United Kingdom 8 1.3k 2.1× 204 0.9× 156 0.8× 136 0.8× 135 1.1× 10 1.6k
Yuri Ivashchenko United States 16 953 1.6× 197 0.9× 336 1.7× 193 1.1× 180 1.4× 17 1.4k

Countries citing papers authored by Yong Jae Shin

Since Specialization
Citations

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

Fields of papers citing papers by Yong Jae Shin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yong Jae Shin. 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 Yong Jae Shin. The network helps show where Yong Jae Shin may publish in the future.

Co-authorship network of co-authors of Yong Jae Shin

This figure shows the co-authorship network connecting the top 25 collaborators of Yong Jae Shin. A scholar is included among the top collaborators of Yong Jae Shin 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 Yong Jae Shin. Yong Jae Shin 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.
Shin, Yong Jae, Kyung-Mi Park, Sun Hye Shin, et al.. (2025). Establishment of Human Lung Cancer Organoids Using Small Biopsy and Surgical Tissues. Cancers. 17(14). 2291–2291.
2.
Shin, Yong Jae, et al.. (2023). Improved Drug-Response Prediction Model of APC Mutant Colon Cancer Patient-Derived Organoids for Precision Medicine. Cancers. 15(23). 5531–5531. 4 indexed citations
3.
Park, Sohee, Changhoon Choi, Haeyoung Kim, et al.. (2023). Olaparib enhances sensitization of BRCA-proficient breast cancer cells to x-rays and protons. Breast Cancer Research and Treatment. 203(3). 449–461. 5 indexed citations
4.
Jeon, Hye-Min, Yong Jae Shin, Jaehyun Lee, et al.. (2023). The semaphorin 3A/neuropilin-1 pathway promotes clonogenic growth of glioblastoma via activation of TGF-β signaling. JCI Insight. 8(21). 8 indexed citations
5.
Kim, Seong‐Jin, Seok Soon Park, Young‐Ah Suh, et al.. (2020). An RNA-binding-protein, NONO governs energy metabolism by regulating NAMPT in lung cancer. Biochemical and Biophysical Research Communications. 528(2). 376–382. 9 indexed citations
6.
Shin, Yong Jae, K. Jason, Yeri Lee, et al.. (2019). PIP4K2A as a negative regulator of PI3K in PTEN-deficient glioblastoma. The Journal of Experimental Medicine. 216(5). 1120–1134. 33 indexed citations
7.
Jin, Peng, Seung-Hyun Shin, Yang‐Sook Chun, et al.. (2018). Astrocyte-derived CCL20 reinforces HIF-1-mediated hypoxic responses in glioblastoma by stimulating the CCR6-NF-κB signaling pathway. Oncogene. 37(23). 3070–3087. 50 indexed citations
8.
Ham, Seok Won, Hee-Young Jeon, Xiong Jin, et al.. (2018). TP53 gain-of-function mutation promotes inflammation in glioblastoma. Cell Death and Differentiation. 26(3). 409–425. 150 indexed citations
9.
Kim, Donggeon, et al.. (2018). Pharmacokinetics, Biodistribution, and Toxicity Evaluation of Anti-SEMA3A (F11) in In Vivo Models. Anticancer Research. 38(5). 2803–2810. 3 indexed citations
10.
Lee, Jae-Hyun, Yong Jae Shin, Kyoungmin Lee, et al.. (2017). Anti-SEMA3A Antibody: A Novel Therapeutic Agent to Suppress Glioblastoma Tumor Growth. Cancer Research and Treatment. 50(3). 1009–1022. 26 indexed citations
11.
Kim, Yong Bae, Yong Jae Shin, Adhiraj Roy, & Jeong‐Ho Kim. (2015). The Role of the Pleckstrin Homology Domain-containing Protein CKIP-1 in Activation of p21-activated Kinase 1 (PAK1). Journal of Biological Chemistry. 290(34). 21076–21085. 21 indexed citations
12.
Shin, Yong Jae, Yong Bae Kim, & Jeong‐Ho Kim. (2013). Protein kinase CK2 phosphorylates and activates p21-activated kinase 1. Molecular Biology of the Cell. 24(18). 2990–2999. 27 indexed citations
13.
Roy, Adhiraj, Yong Jae Shin, Kyu Hong Cho, & Jeong‐Ho Kim. (2013). Mth1 regulates the interaction between the Rgt1 repressor and the Ssn6-Tup1 corepressor complex by modulating PKA-dependent phosphorylation of Rgt1. Molecular Biology of the Cell. 24(9). 1493–1503. 26 indexed citations
14.
Roy, Adhiraj, Yong Jae Shin, & Jeong‐Ho Kim. (2013). Construction of yeast strains useful for screening drugs that inhibit glucose uptake and glycolysis. Analytical Biochemistry. 436(1). 53–54. 2 indexed citations
15.
Shin, Yong Jae & Jeong Hyun Kim. (2013). Validation of the Korean version of the European Organization for Research and Treatment of Cancer brain cancer module (EORTC QLQ-BN20) in patients with brain tumors. Health and Quality of Life Outcomes. 11(1). 145–145. 15 indexed citations
16.
Shin, Yong Jae & Jeong‐Ho Kim. (2012). The Role of EZH2 in the Regulation of the Activity of Matrix Metalloproteinases in Prostate Cancer Cells. PLoS ONE. 7(1). e30393–e30393. 100 indexed citations
17.
18.
Kim, Hong Sook, Ja‐Eun Kim, Yong Jae Shin, et al.. (2008). Ethyl pyruvate has an anti-inflammatory effect by inhibiting ROS-dependent STAT signaling in activated microglia. Free Radical Biology and Medicine. 45(7). 950–963. 75 indexed citations
19.
Shin, Yong Jae, et al.. (2006). Clusterin induces differentiation of pancreatic duct cells into insulin-secreting cells. Diabetologia. 49(2). 311–320. 34 indexed citations
20.
Noh, Eun Joo, et al.. (2002). Characterization of Mycoplasma Arginine Deiminase Expressed in E. coli and Its Inhibitory Regulation of Nitric Oxide Synthesis. Molecules and Cells. 13(1). 137–143. 45 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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