Yueguang Wu

578 total citations
17 papers, 435 citations indexed

About

Yueguang Wu is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Yueguang Wu has authored 17 papers receiving a total of 435 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 12 papers in Oncology and 4 papers in Immunology. Recurrent topics in Yueguang Wu's work include Cancer Immunotherapy and Biomarkers (4 papers), Glycosylation and Glycoproteins Research (3 papers) and Cancer Cells and Metastasis (3 papers). Yueguang Wu is often cited by papers focused on Cancer Immunotherapy and Biomarkers (4 papers), Glycosylation and Glycoproteins Research (3 papers) and Cancer Cells and Metastasis (3 papers). Yueguang Wu collaborates with scholars based in China, Egypt and Hong Kong. Yueguang Wu's co-authors include Shuyan Liu, Yingqiu Zhang, Jinrui Zhang, Han Liu, Duchuang Wang, Taishu Wang, Fang Liu, Mohamed Y. Zaky, Cai‐Xia Tu and Yang Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Cell Death and Differentiation.

In The Last Decade

Yueguang Wu

16 papers receiving 432 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yueguang Wu China 9 272 118 102 71 42 17 435
Bing Dai China 9 293 1.1× 152 1.3× 106 1.0× 83 1.2× 45 1.1× 15 557
Duchuang Wang China 7 198 0.7× 89 0.8× 73 0.7× 62 0.9× 30 0.7× 8 336
David Standing United States 11 320 1.2× 104 0.9× 105 1.0× 47 0.7× 22 0.5× 16 513
Sima Mansoori Derakhshan Iran 5 325 1.2× 69 0.6× 103 1.0× 64 0.9× 23 0.5× 22 533
Zixiang Zhang China 13 151 0.6× 179 1.5× 86 0.8× 81 1.1× 56 1.3× 25 424
Qing Yuan China 14 435 1.6× 64 0.5× 131 1.3× 61 0.9× 38 0.9× 32 574
Yanxia Li China 13 291 1.1× 71 0.6× 106 1.0× 70 1.0× 33 0.8× 25 463
Ruby L.Y. Chan Hong Kong 9 445 1.6× 139 1.2× 98 1.0× 101 1.4× 24 0.6× 12 685
Kangdong Liu China 15 405 1.5× 121 1.0× 101 1.0× 85 1.2× 34 0.8× 44 644
Jalahalli M. Siddesha United States 14 209 0.8× 61 0.5× 104 1.0× 65 0.9× 42 1.0× 22 470

Countries citing papers authored by Yueguang Wu

Since Specialization
Citations

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

Fields of papers citing papers by Yueguang Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yueguang Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Yueguang Wu. A scholar is included among the top collaborators of Yueguang 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 Yueguang Wu. Yueguang Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Gao, Mingwei, Xuehan Zhuang, Yueguang Wu, et al.. (2025). Evolutionary adaptation and asymmetric inheritance of polyploid giant cancer cells in esophageal squamous cell carcinoma. Cancer Letters. 630. 217818–217818. 4 indexed citations
2.
Gao, Mingwei, Yueguang Wu, Li Zhang, et al.. (2025). YTHDC1 negatively regulates UBE3A to influence RAD51 ubiquitination and inhibit apoptosis in colorectal cancer cells. Scientific Reports. 15(1). 8857–8857. 1 indexed citations
3.
Zhang, Li, Mingwei Gao, Yueguang Wu, et al.. (2024). MST1 interactomes profiling across cell death in esophageal squamous cell carcinoma. SHILAP Revista de lepidopterología. 4(6). 531–543. 2 indexed citations
4.
Wu, Yueguang, Ning Ding, Yan Zhou, et al.. (2024). Three-dimensional characteristics of T cells and vasculature in the development of mouse esophageal cancer. iScience. 27(12). 111380–111380.
5.
Ding, Ning, Yikun Cheng, Huijuan Liu, et al.. (2023). Fusobacterium nucleatum Infection Induces Malignant Proliferation of Esophageal Squamous Cell Carcinoma Cell by Putrescine Production. Microbiology Spectrum. 11(2). e0275922–e0275922. 17 indexed citations
6.
Chen, Cheng, Heyang Cui, Huijuan Liu, et al.. (2022). Role of Epidermal Growth Factor Receptor-Specific CAR-T Cells in the Suppression of Esophageal Squamous Cell Carcinoma. Cancers. 14(24). 6021–6021. 1 indexed citations
7.
Yue, Jing, et al.. (2021). LncRNAs link cancer stemness to therapy resistance.. American Journal of Cancer Research. 11(4). 1051–1068. 17 indexed citations
8.
Zhang, Jinrui, Shuyan Liu, Qiong Li, et al.. (2020). The deubiquitylase USP2 maintains ErbB2 abundance via counteracting endocytic degradation and represents a therapeutic target in ErbB2-positive breast cancer. Cell Death and Differentiation. 27(9). 2710–2725. 38 indexed citations
9.
Wu, Yueguang, Yingqiu Zhang, Duchuang Wang, et al.. (2020). USP29 enhances chemotherapy-induced stemness in non-small cell lung cancer via stabilizing Snail1 in response to oxidative stress. Cell Death and Disease. 11(9). 796–796. 30 indexed citations
10.
Wang, Shanshan, Jinrui Zhang, Taishu Wang, et al.. (2019). Endocytic degradation of ErbB2 mediates the effectiveness of neratinib in the suppression of ErbB2-positive ovarian cancer. The International Journal of Biochemistry & Cell Biology. 117. 105640–105640. 3 indexed citations
11.
Zhang, Ruhui, Yongquan Dong, Mingjiao Sun, et al.. (2019). Tumor-associated inflammatory microenvironment in non-small cell lung cancer: correlation with FGFR1 and TLR4 expression via PI3K/Akt pathway. Journal of Cancer. 10(4). 1004–1012. 19 indexed citations
12.
Zaky, Mohamed Y., Xiuxiu Liu, Taishu Wang, et al.. (2019). Dynasore potentiates c-Met inhibitors against hepatocellular carcinoma through destabilizing c-Met. Archives of Biochemistry and Biophysics. 680. 108239–108239. 7 indexed citations
13.
Wu, Yue, Yingqiu Zhang, Congcong Liu, et al.. (2019). Amplification of USP13 drives non-small cell lung cancer progression mediated by AKT/MAPK signaling. Biomedicine & Pharmacotherapy. 114. 108831–108831. 28 indexed citations
14.
Zhang, Jinrui, Qiong Li, Yueguang Wu, et al.. (2019). Cholesterol content in cell membrane maintains surface levels of ErbB2 and confers a therapeutic vulnerability in ErbB2-positive breast cancer. Cell Communication and Signaling. 17(1). 15–15. 96 indexed citations
15.
Wang, Taishu, Jinrui Zhang, Shanshan Wang, et al.. (2018). The exon 19-deleted EGFR undergoes ubiquitylation-mediated endocytic degradation via dynamin activity-dependent and -independent mechanisms. Cell Communication and Signaling. 16(1). 40–40. 19 indexed citations
16.
Zhang, Yang, Kang Tian, Xi Chen, et al.. (2018). Apigenin suppresses PD-L1 expression in melanoma and host dendritic cells to elicit synergistic therapeutic effects. Journal of Experimental & Clinical Cancer Research. 37(1). 261–261. 147 indexed citations
17.
Wang, Taishu, Duchuang Wang, Jinrui Zhang, et al.. (2018). Dynasore-induced potent ubiquitylation of the exon 19 deletion mutant of epidermal growth factor receptor suppresses cell growth and migration in non-small cell lung cancer. The International Journal of Biochemistry & Cell Biology. 105. 1–12. 6 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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