Ye Wu

5.0k total citations · 1 hit paper
37 papers, 1.2k citations indexed

About

Ye Wu is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Ye Wu has authored 37 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 13 papers in Cancer Research and 5 papers in Genetics. Recurrent topics in Ye Wu's work include RNA modifications and cancer (9 papers), Cancer-related molecular mechanisms research (8 papers) and MicroRNA in disease regulation (6 papers). Ye Wu is often cited by papers focused on RNA modifications and cancer (9 papers), Cancer-related molecular mechanisms research (8 papers) and MicroRNA in disease regulation (6 papers). Ye Wu collaborates with scholars based in China, United States and Portugal. Ye Wu's co-authors include Rui Zhang, Angang Yang, Yidi Wang, Xiang Zhang, Xiaofang Zhang, Yanping Yu, Chunsheng Kang, Qixue Wang, Yanli Tan and Junhu Zhou and has published in prestigious journals such as Nature Communications, Neuron and SHILAP Revista de lepidopterología.

In The Last Decade

Ye Wu

32 papers receiving 1.2k citations

Hit Papers

RNA m6A methylation orchestrates cancer growth and metast... 2021 2026 2022 2024 2021 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ye Wu China 16 938 482 246 148 134 37 1.2k
Kang Han China 11 706 0.8× 420 0.9× 156 0.6× 187 1.3× 128 1.0× 19 1.0k
Yeri Lee South Korea 13 510 0.5× 289 0.6× 141 0.6× 261 1.8× 109 0.8× 25 940
Guohan Hu China 25 987 1.1× 529 1.1× 124 0.5× 220 1.5× 85 0.6× 65 1.5k
Zhitao Jing China 17 519 0.6× 344 0.7× 147 0.6× 109 0.7× 93 0.7× 40 821
Zhiguo Chen China 19 726 0.8× 473 1.0× 242 1.0× 209 1.4× 90 0.7× 41 1.4k
Upal Basu-Roy United States 12 708 0.8× 252 0.5× 141 0.6× 310 2.1× 212 1.6× 13 1.3k
Daofeng Tian China 18 459 0.5× 232 0.5× 139 0.6× 125 0.8× 113 0.8× 47 862
Lili Zhu China 19 996 1.1× 504 1.0× 84 0.3× 104 0.7× 97 0.7× 37 1.2k

Countries citing papers authored by Ye Wu

Since Specialization
Citations

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

Fields of papers citing papers by Ye Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ye Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Ye Wu. A scholar is included among the top collaborators of Ye 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 Ye Wu. Ye 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.
Wang, Jian, Hao Huang, Zheng Zhang, et al.. (2026). Multi-organ network of cardiometabolic disease-depression multimorbidity revealed by phenotypic and genetic analyses of MR images. Nature Communications. 17(1). 1333–1333.
2.
Yu, Yubing, et al.. (2025). How ESG governance affects total factor productivity: Evidence from Chinese listed companies. Environmental Impact Assessment Review. 116. 108074–108074. 1 indexed citations
3.
Xiong, Junjun, Xuhui Ge, Yufeng Zhu, et al.. (2025). Metabolic reprogramming in astrocytes prevents neuronal death through a UCHL1/PFKFB3/H4K8la positive feedback loop. Cell Death and Differentiation. 32(7). 1214–1230. 3 indexed citations
4.
Zhang, Xiuzhen, Jingqi Liang, Yanlin Jiang, et al.. (2025). Smooth muscle extracellular matrix modified small intestinal submucosa conduits promote peripheral nerve repair. Biomaterials. 321. 123346–123346. 1 indexed citations
5.
Wang, Xiaokun, Guangqian Zhou, Junjun Xiong, et al.. (2025). H4K12 Lactylation Activated‐Spp1 in Reprogrammed Microglia Improves Functional Recovery After Spinal Cord Injury. CNS Neuroscience & Therapeutics. 31(2). e70232–e70232. 3 indexed citations
6.
Zhu, Yufeng, Ye Wu, Yu Gao, et al.. (2025). Redox regulation of TRIM28 facilitates neuronal ferroptosis by promoting SUMOylation and inhibiting OPTN-selective autophagic degradation of ACSL4. Cell Death and Differentiation. 32(6). 1041–1057. 7 indexed citations
7.
Wu, Xia, Ye Wu, & Yuping Gong. (2022). The Role of RNA Methyltransferase METTL3 in Normal and Malignant Hematopoiesis. Frontiers in Oncology. 12. 873903–873903. 22 indexed citations
8.
Yang, Eryan, Lin Wang, Weili Jin, et al.. (2022). PTRF/Cavin-1 enhances chemo-resistance and promotes temozolomide efflux through extracellular vesicles in glioblastoma. Theranostics. 12(9). 4330–4347. 27 indexed citations
9.
Li, Jipeng, Ke Wang, Jianyong Sun, et al.. (2021). Aberrantly high activation of a FoxM1–STMN1 axis contributes to progression and tumorigenesis in FoxM1-driven cancers. Signal Transduction and Targeted Therapy. 6(1). 42–42. 40 indexed citations
10.
Liu, Xiaoxuan, Ye Wu, Ruixia Wu, et al.. (2021). Metoprolol attenuates intracerebral hemorrhage-induced cardiac damage by suppression of sympathetic overactivity in mice. Autonomic Neuroscience. 234. 102832–102832. 8 indexed citations
11.
Zhang, Xiang, Pengyuan Yang, Xiaofang Zhang, et al.. (2021). RNA m6A methylation orchestrates cancer growth and metastasis via macrophage reprogramming. Nature Communications. 12(1). 1394–1394. 313 indexed citations breakdown →
12.
Rong, Yuluo, Jin Fan, Chengyue Ji, et al.. (2021). USP11 regulates autophagy-dependent ferroptosis after spinal cord ischemia-reperfusion injury by deubiquitinating Beclin 1. Cell Death and Differentiation. 29(6). 1164–1175. 154 indexed citations
13.
Liu, Fang, Ye Wu, Jun Liu, et al.. (2020). A miR-205-LPCAT1 axis contributes to proliferation and progression in multiple cancers. Biochemical and Biophysical Research Communications. 527(2). 474–480. 13 indexed citations
15.
Wu, Ye, et al.. (2020). Factors Related to the Post-operative Recurrence of Atypical Meningiomas. Frontiers in Oncology. 10. 503–503. 7 indexed citations
16.
Wu, Ye, Wei Wang, Angang Yang, & Rui Zhang. (2020). The microRNA-424/503 cluster: A master regulator of tumorigenesis and tumor progression with paradoxical roles in cancer. Cancer Letters. 494. 58–72. 12 indexed citations
17.
Xiao, Fengjun, Dan Zhang, Ye Wu, et al.. (2019). miRNA-17-92 protects endothelial cells from erastin-induced ferroptosis through targeting the A20-ACSL4 axis. Biochemical and Biophysical Research Communications. 515(3). 448–454. 141 indexed citations
18.
Wang, Fangjun, Weichang Chen, Pengfei Liu, et al.. (2016). Lentivirus-mediated RNAi knockdown of LMP2A inhibits the growth of the Epstein-Barr-associated gastric carcinoma cell line GT38 in vitro. Experimental and Therapeutic Medicine. 13(1). 187–193. 18 indexed citations
19.
Zhang, Xue, Jian Bai, Chenglin Wu, et al.. (2015). Candida glabrata induced infection of rat tracheal epithelial cells is mediated by TLR-2 induced activation of NF-κB. Microbial Pathogenesis. 91. 115–122. 10 indexed citations
20.
Wu, Ye, Ruifeng Zhang, Yanjie Hu, Xiaoling Xu, & Kejing Ying. (2015). Increased expression of endoplasmic reticulum protein 29 in lung adenocarcinoma is associated with chemosensitivity to gemcitabine. Anti-Cancer Drugs. 26(6). 612–619. 4 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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