Yu‐Yi Chu

1.4k total citations
29 papers, 1.1k citations indexed

About

Yu‐Yi Chu is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Yu‐Yi Chu has authored 29 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Oncology, 11 papers in Immunology and 8 papers in Molecular Biology. Recurrent topics in Yu‐Yi Chu's work include Immune Cell Function and Interaction (8 papers), Cancer Immunotherapy and Biomarkers (5 papers) and Immunotherapy and Immune Responses (5 papers). Yu‐Yi Chu is often cited by papers focused on Immune Cell Function and Interaction (8 papers), Cancer Immunotherapy and Biomarkers (5 papers) and Immunotherapy and Immune Responses (5 papers). Yu‐Yi Chu collaborates with scholars based in Taiwan, United States and China. Yu‐Yi Chu's co-authors include Chun‐Yen Lin, Ching‐Tai Huang, Jayashri Mahalingam, Yung‐Chang Lin, Ju-Ming Wang, Li-Yuan Chang, Chiao-Wen Kang, Avijit Dutta, Jy‐Ming Chiang and Mien‐Chie Hung and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Immunology and PLoS ONE.

In The Last Decade

Yu‐Yi Chu

29 papers receiving 1.0k citations

Peers

Yu‐Yi Chu
Ashish Banerjee Australia
Asaf Rotem United States
Yuanhang Liu United States
Yu‐Yi Chu
Citations per year, relative to Yu‐Yi Chu Yu‐Yi Chu (= 1×) peers Soichiro Sasaki

Countries citing papers authored by Yu‐Yi Chu

Since Specialization
Citations

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

Fields of papers citing papers by Yu‐Yi Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu‐Yi Chu. 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 Yu‐Yi Chu. The network helps show where Yu‐Yi Chu may publish in the future.

Co-authorship network of co-authors of Yu‐Yi Chu

This figure shows the co-authorship network connecting the top 25 collaborators of Yu‐Yi Chu. A scholar is included among the top collaborators of Yu‐Yi Chu 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 Yu‐Yi Chu. Yu‐Yi Chu 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.
Zhao, Xixi, Yongkun Wei, Yu‐Yi Chu, et al.. (2022). Phosphorylation and Stabilization of PD-L1 by CK2 Suppresses Dendritic Cell Function. Cancer Research. 82(11). 2185–2195. 36 indexed citations
2.
Wang, Ying‐Nai, Heng‐Huan Lee, Yongkun Wei, et al.. (2022). An optimized protocol for PD-L1 pathological assessment with patient sample deglycosylation to improve correlation with therapeutic response. STAR Protocols. 3(1). 101198–101198. 5 indexed citations
3.
Yang, Ri‐Yao, Linlin Sun, Ching-Fei Li, et al.. (2022). Development and characterization of anti-galectin-9 antibodies that protect T cells from galectin-9-induced cell death. Journal of Biological Chemistry. 298(4). 101821–101821. 23 indexed citations
4.
Chu, Yu‐Yi, Clinton Yam, Hirohito Yamaguchi, & Mien‐Chie Hung. (2022). Biomarkers beyond BRCA: promising combinatorial treatment strategies in overcoming resistance to PARP inhibitors. Journal of Biomedical Science. 29(1). 86–86. 25 indexed citations
5.
Gao, Yuan, Mei‐Kuang Chen, Yu‐Yi Chu, et al.. (2021). Nuclear translocation of the receptor tyrosine kinase c-MET reduces the treatment efficacies of olaparib and gemcitabine in pancreatic ductal adenocarcinoma cells.. American Journal of Cancer Research. 11(1). 236–250. 15 indexed citations
6.
Chu, Yu‐Yi, Clinton Yam, Mei‐Kuang Chen, et al.. (2020). Blocking c-Met and EGFR reverses acquired resistance of PARP inhibitors in triple-negative breast cancer.. PubMed. 10(2). 648–661. 36 indexed citations
7.
Dong, Qiongzhu, Yi Du, Hui Li, et al.. (2018). EGFR and c-MET Cooperate to Enhance Resistance to PARP Inhibitors in Hepatocellular Carcinoma. Cancer Research. 79(4). 819–829. 59 indexed citations
8.
Chu, Yu‐Yi, et al.. (2017). Bortezomib-induced miRNAs direct epigenetic silencing of locus genes and trigger apoptosis in leukemia. Cell Death and Disease. 8(11). e3167–e3167. 27 indexed citations
9.
Wang, Wei‐Jan, Chien‐Feng Li, Yu‐Yi Chu, et al.. (2016). Inhibition of the EGFR/STAT3/CEBPD Axis Reverses Cisplatin Cross-resistance with Paclitaxel in the Urothelial Carcinoma of the Urinary Bladder. Clinical Cancer Research. 23(2). 503–513. 51 indexed citations
10.
Cheng, Yi-Lin, Yee-Shin Lin, Chia‐Ling Chen, et al.. (2016). Activation of Nrf2 by the dengue virus causes an increase in CLEC5A, which enhances TNF-α production by mononuclear phagocytes. Scientific Reports. 6(1). 32000–32000. 46 indexed citations
11.
Chu, Yu‐Yi, Chiung‐Yuan Ko, Wei‐Jan Wang, et al.. (2015). Astrocytic CCAAT/Enhancer Binding Protein δ Regulates Neuronal Viability and Spatial Learning Ability via miR-135a. Molecular Neurobiology. 53(6). 4173–4188. 25 indexed citations
12.
Kang, Chiao-Wen, Avijit Dutta, Li-Yuan Chang, et al.. (2015). Apoptosis of tumor infiltrating effector TIM-3+CD8+ T cells in colon cancer. Scientific Reports. 5(1). 15659–15659. 136 indexed citations
13.
Cheng, Ta-Chun, Chien-Shu Chen, Kai‐Hsiang Chuang, et al.. (2015). Direct coating of culture medium from cells secreting classical swine fever virus E2 antigen on ELISA plates for detection of E2-specific antibodies. The Veterinary Journal. 205(1). 107–109. 7 indexed citations
14.
Ko, Chiung‐Yuan, Yu‐Yi Chu, Shuh Narumiya, et al.. (2014). The CCAAT/enhancer-binding protein delta/miR135a/thrombospondin 1 axis mediates PGE2-induced angiogenesis in Alzheimer's disease. Neurobiology of Aging. 36(3). 1356–1368. 32 indexed citations
15.
Mahalingam, Jayashri, Chun‐Yen Lin, Jy‐Ming Chiang, et al.. (2014). CD4+ T Cells Expressing Latency-Associated Peptide and Foxp3 Are an Activated Subgroup of Regulatory T Cells Enriched in Patients with Colorectal Cancer. PLoS ONE. 9(9). e108554–e108554. 28 indexed citations
16.
Ko, Chiung‐Yuan, Wen-Ling Wang, Shao‐Ming Wang, et al.. (2013). Glycogen synthase kinase-3β–mediated CCAAT/enhancer-binding protein delta phosphorylation in astrocytes promot es migration and activation of microglia/macrophages. Neurobiology of Aging. 35(1). 24–34. 42 indexed citations
17.
Mahalingam, Jayashri, Yung‐Chang Lin, Jy‐Ming Chiang, et al.. (2012). LAP+CD4+ T Cells Are Suppressors Accumulated in the Tumor Sites and Associated with the Progression of Colorectal Cancer. Clinical Cancer Research. 18(19). 5224–5233. 14 indexed citations
18.
Chang, Li-Yuan, Yung‐Chang Lin, Jayashri Mahalingam, et al.. (2012). Tumor-Derived Chemokine CCL5 Enhances TGF-β–Mediated Killing of CD8+ T Cells in Colon Cancer by T-Regulatory Cells. Cancer Research. 72(5). 1092–1102. 189 indexed citations
19.
Chu, Yu‐Yi, et al.. (2012). Determination of the flow curve at high strain rates using electromagnetic punch stretching. Journal of Materials Processing Technology. 212(6). 1314–1323. 25 indexed citations
20.
Lin, Yung‐Chang, Jayashri Mahalingam, Jy‐Ming Chiang, et al.. (2012). Activated but not resting regulatory T cells accumulated in tumor microenvironment and correlated with tumor progression in patients with colorectal cancer. International Journal of Cancer. 132(6). 1341–1350. 89 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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