Kou‐Juey Wu

4.5k total citations · 1 hit paper
59 papers, 3.6k citations indexed

About

Kou‐Juey Wu is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Kou‐Juey Wu has authored 59 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Molecular Biology, 23 papers in Cancer Research and 8 papers in Oncology. Recurrent topics in Kou‐Juey Wu's work include RNA modifications and cancer (22 papers), Epigenetics and DNA Methylation (20 papers) and Cancer-related molecular mechanisms research (12 papers). Kou‐Juey Wu is often cited by papers focused on RNA modifications and cancer (22 papers), Epigenetics and DNA Methylation (20 papers) and Cancer-related molecular mechanisms research (12 papers). Kou‐Juey Wu collaborates with scholars based in Taiwan, United States and China. Kou‐Juey Wu's co-authors include Riccardo Dalla‐Favera, Axel Polack, Ya‐Ping Tsai, Shu‐Chun Teng, Mario Amacker, Carla Grandori, Joachim Lingner, Yueh‐Te Lin, Min-Zu Wu and Hsiao‐Fan Chen and has published in prestigious journals such as Science, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Kou‐Juey Wu

59 papers receiving 3.5k citations

Hit Papers

Direct activation of TERT... 1999 2026 2008 2017 1999 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kou‐Juey Wu Taiwan 30 2.5k 894 661 626 413 59 3.6k
Narendra Wajapeyee United States 31 2.7k 1.1× 941 1.1× 895 1.4× 340 0.5× 247 0.6× 95 3.7k
Hiroshi Okuda Japan 24 1.7k 0.7× 739 0.8× 794 1.2× 243 0.4× 333 0.8× 80 2.9k
Athanassios Kotsinas Greece 25 2.8k 1.1× 702 0.8× 1.4k 2.2× 411 0.7× 288 0.7× 70 3.9k
Christophe Denoyelle France 24 2.2k 0.9× 941 1.1× 1.0k 1.6× 787 1.3× 263 0.6× 50 3.6k
Eric Kenneth Parkinson United Kingdom 32 1.8k 0.7× 602 0.7× 737 1.1× 933 1.5× 188 0.5× 92 3.3k
Chihaya Maesawa Japan 36 2.1k 0.8× 750 0.8× 944 1.4× 220 0.4× 626 1.5× 114 3.8k
Francesca Bernassola Italy 37 3.0k 1.2× 647 0.7× 1.4k 2.2× 286 0.5× 401 1.0× 71 4.2k
Selina Raguz United Kingdom 24 2.6k 1.0× 1.3k 1.5× 767 1.2× 869 1.4× 186 0.5× 35 4.0k
Yoko Itahana United States 24 2.0k 0.8× 516 0.6× 896 1.4× 321 0.5× 143 0.3× 40 2.6k
Frédérick A. Mallette Canada 24 1.8k 0.7× 504 0.6× 598 0.9× 681 1.1× 138 0.3× 39 2.7k

Countries citing papers authored by Kou‐Juey Wu

Since Specialization
Citations

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

Fields of papers citing papers by Kou‐Juey Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kou‐Juey Wu. 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 Kou‐Juey Wu. The network helps show where Kou‐Juey Wu may publish in the future.

Co-authorship network of co-authors of Kou‐Juey Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Kou‐Juey Wu. A scholar is included among the top collaborators of Kou‐Juey Wu 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 Kou‐Juey Wu. Kou‐Juey Wu 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.
Fang, Ji-Tseng, Geng-Hao Liu, Yuan‐Ming Yeh, et al.. (2025). Better objective sleep quality is associated with higher gut microbiota richness in older adults. GeroScience. 47(3). 4121–4137. 2 indexed citations
2.
Huang, Wen‐Kuan, Pei‐Hua Peng, Shih‐Ming Jung, et al.. (2023). PLK1 and its substrate MISP facilitate intrahepatic cholangiocarcinoma progression by promoting lymphatic invasion and impairing E-cadherin adherens junctions. Cancer Gene Therapy. 31(2). 322–333. 2 indexed citations
3.
Chen, Hsiao‐Fan, et al.. (2023). Epigenetic regulation of asymmetric cell division by the LIBR-BRD4 axis. Nucleic Acids Research. 52(1). 154–165. 4 indexed citations
4.
Shao, I‐Hung, Pei‐Hua Peng, Heng‐Hsiung Wu, et al.. (2023). RP11‐367G18.1 V2 enhances clear cell renal cell carcinoma progression via induction of epithelial–mesenchymal transition. Cancer Medicine. 12(8). 9788–9801. 7 indexed citations
5.
Hsu, Kai‐Wen, Pei‐Hua Peng, Ching-Hui Huang, et al.. (2022). METTL4-mediated nuclear N6-deoxyadenosine methylation promotes metastasis through activating multiple metastasis-inducing targets. Genome biology. 23(1). 249–249. 29 indexed citations
6.
Wu, Han‐Tsang, Yueh‐Te Lin, Shan Hwu Chew, & Kou‐Juey Wu. (2022). Organ defects of the Usp7 mutant mouse strain indicate the essential role of K63-polyubiquitinated Usp7 in organ formation. Biomedical Journal. 46(1). 122–133. 2 indexed citations
7.
Peng, Pei‐Hua, et al.. (2021). The role of hypoxia-induced long noncoding RNAs (lncRNAs) in tumorigenesis and metastasis. Biomedical Journal. 44(5). 521–533. 22 indexed citations
8.
Peng, Pei‐Hua, Kai‐Wen Hsu, & Kou‐Juey Wu. (2021). Liquid-liquid phase separation (LLPS) in cellular physiology and tumor biology.. American Journal of Cancer Research. 11(8). 3766–3776. 67 indexed citations
9.
Lin, Yueh‐Te & Kou‐Juey Wu. (2020). Epigenetic regulation of epithelial-mesenchymal transition: focusing on hypoxia and TGF-β signaling. Journal of Biomedical Science. 27(1). 39–39. 158 indexed citations
10.
Yan, Fengqin, Lihui Wang, Wenjuan Yin, et al.. (2019). Identification of new hypoxia‐regulated epithelial‐mesenchymal transition marker genes labeled by H3K4 acetylation. Genes Chromosomes and Cancer. 59(2). 73–83. 21 indexed citations
11.
Chen, Yun‐Ju, Chia‐Jung Yu, Shiou‐Ru Tzeng, et al.. (2016). SMYD3-Mediated H2A.Z.1 Methylation Promotes Cell Cycle and Cancer Proliferation. Cancer Research. 76(20). 6043–6053. 48 indexed citations
12.
Kao, Shih-Han, Kou‐Juey Wu, & Wen‐Hwa Lee. (2016). Hypoxia, Epithelial-Mesenchymal Transition, and TET-Mediated Epigenetic Changes. Journal of Clinical Medicine. 5(2). 24–24. 46 indexed citations
13.
Chen, Hsiao‐Fan & Kou‐Juey Wu. (2016). Epigenetics, TET proteins, and hypoxia in epithelial-mesenchymal transition and tumorigenesis. Biomedicine. 6(1). 1–1. 44 indexed citations
14.
Yan, Fengqin, et al.. (2015). HSP60 overexpression increases the protein levels of the p110α subunit of  phosphoinositide 3‐kinase and c‐Myc. Clinical and Experimental Pharmacology and Physiology. 42(10). 1092–1097. 14 indexed citations
15.
Tsai, Ya‐Ping, et al.. (2012). Epigenetic reprogramming and post-transcriptional regulation during the epithelial–mesenchymal transition. Trends in Genetics. 28(9). 454–463. 126 indexed citations
16.
Chang, Shyue‐Yih, Chung‐Ji Liu, Cheng‐Hwai Tzeng, et al.. (2009). Identification of increased NBS1 expression as a prognostic marker of squamous cell carcinoma of the oral cavity. Cancer Science. 101(4). 1029–1037. 25 indexed citations
17.
Tsai, Ya‐Ping, Shu‐Chun Teng, & Kou‐Juey Wu. (2008). Direct regulation of HSP60 expression by c‐MYC induces transformation. FEBS Letters. 582(29). 4083–4088. 29 indexed citations
18.
Ghosh, Ananta K., Deepa Shankar, Gregory M. Shackleford, et al.. (1996). Molecular cloning and characterization of human FGF8 alternative messenger RNA forms.. PubMed. 7(10). 1425–34. 56 indexed citations
19.
20.
Wu, Kou‐Juey, Linda C. Samuelson, Georgette Howard, Miriam H. Meisler, & Gretchen J. Darlington. (1991). Transactivation of Pancreas-Specific Gene Sequences in Somatic Cell Hybrids. Molecular and Cellular Biology. 11(9). 4423–4430. 2 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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