Weizhu Wu

455 total citations
21 papers, 275 citations indexed

About

Weizhu Wu is a scholar working on Cancer Research, Molecular Biology and Oncology. According to data from OpenAlex, Weizhu Wu has authored 21 papers receiving a total of 275 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cancer Research, 10 papers in Molecular Biology and 5 papers in Oncology. Recurrent topics in Weizhu Wu's work include Cancer-related molecular mechanisms research (7 papers), RNA modifications and cancer (5 papers) and Breast Cancer Treatment Studies (5 papers). Weizhu Wu is often cited by papers focused on Cancer-related molecular mechanisms research (7 papers), RNA modifications and cancer (5 papers) and Breast Cancer Treatment Studies (5 papers). Weizhu Wu collaborates with scholars based in China, Spain and Taiwan. Weizhu Wu's co-authors include Jinhua Ding, Minhua Wu, Li Jiang, Yuxin Zhou, Elena López‐Camacho, Tianxiang Chen, Xiangdong Wang, Lisong Teng, Jing Zhang and Yun Gong and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cancer and Scientific Reports.

In The Last Decade

Weizhu Wu

20 papers receiving 274 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Weizhu Wu China 12 152 141 65 45 41 21 275
Gahee Park South Korea 10 107 0.7× 134 1.0× 104 1.6× 34 0.8× 48 1.2× 27 285
Asif Hossain United States 7 228 1.5× 105 0.7× 46 0.7× 82 1.8× 26 0.6× 7 314
Biyuan Wang China 9 93 0.6× 144 1.0× 116 1.8× 27 0.6× 95 2.3× 13 303
Richard Lupat Australia 7 164 1.1× 187 1.3× 72 1.1× 159 3.5× 54 1.3× 10 390
Marie Klintman Sweden 11 116 0.8× 211 1.5× 203 3.1× 33 0.7× 84 2.0× 20 355
Tsunehisa Nomura Japan 9 121 0.8× 80 0.6× 137 2.1× 52 1.2× 24 0.6× 33 292
Mark Laible Germany 10 131 0.9× 101 0.7× 111 1.7× 25 0.6× 22 0.5× 19 302
Yuwen Cao China 10 272 1.8× 130 0.9× 102 1.6× 29 0.6× 47 1.1× 23 428
Michele L. Lenoue-Newton United States 7 119 0.8× 62 0.4× 52 0.8× 21 0.5× 21 0.5× 18 200
Д. С. Ходырев Russia 13 301 2.0× 205 1.5× 34 0.5× 28 0.6× 19 0.5× 48 375

Countries citing papers authored by Weizhu Wu

Since Specialization
Citations

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

Fields of papers citing papers by Weizhu Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weizhu Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Weizhu Wu. A scholar is included among the top collaborators of Weizhu 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 Weizhu Wu. Weizhu 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.
Zhai, Jie, Yuxin Zhou, Juan Wei, et al.. (2025). PTf‐SRiApt Targeting SCAF4‐POLR2A Interaction Suppresses Tumor Growth and Promotes Antitumor Immunity in Triple‐Negative Breast Cancer. Advanced Science. 12(35). e00433–e00433. 1 indexed citations
2.
Chen, Jiafeng, et al.. (2024). Clinical Efficacy of Neoadjuvant Chemotherapy plus Modified Radical Mastectomy for Stage II-III Breast Cancer Patients and Its Influence on Serum Tumor Markers.. PubMed. 30(1). 260–264. 1 indexed citations
3.
Chen, Jia‐Feng, et al.. (2023). Causal effects of genetically predicted endometriosis on breast cancer: a two-sample Mendelian randomization study. Scientific Reports. 13(1). 17307–17307. 3 indexed citations
4.
Chen, Jiafeng, et al.. (2023). m6A Modification Mediates Exosomal LINC00657 to Trigger Breast Cancer Progression Via Inducing Macrophage M2 Polarization. Clinical Breast Cancer. 23(5). 546–560. 16 indexed citations
5.
Wu, Weizhu, et al.. (2023). Artificial intelligence in breast cancer: application and future perspectives. Journal of Cancer Research and Clinical Oncology. 149(17). 16179–16190. 15 indexed citations
6.
Ding, Jinhua, et al.. (2022). Validation of the Prognostic Stage from the American Joint Committee on Cancer 8th Staging Manual in Luminal B-Like Human Epidermal Growth Factor Receptor 2-Negative Breast Cancer. SHILAP Revista de lepidopterología. 2 indexed citations
7.
Chen, Jiafeng, Xinrong Li, Yuxin Zhou, et al.. (2022). An autophagy-related long non-coding RNA prognostic model and related immune research for female breast cancer. Frontiers in Oncology. 12. 929240–929240. 3 indexed citations
8.
Chen, Gaoxiang, Hai Zhang, Cheng Li, et al.. (2022). “Elastic Stretch Cavity Building” System in Endoscopic Thyroidectomy of Giant Thyroid Tumors. Frontiers in Oncology. 12. 871594–871594.
9.
Wu, Minhua, et al.. (2022). Role of lncRNA AGAP2-AS1 in Breast Cancer Cell Resistance to Apoptosis by the Regulation of MTA1 Promoter Activity. Technology in Cancer Research & Treatment. 21. 2213827249–2213827249. 7 indexed citations
11.
Zhang, Jing, Zhen‐Bo Feng, Yun Gong, et al.. (2020). SOX4 promotes the growth and metastasis of breast cancer. Cancer Cell International. 20(1). 468–468. 42 indexed citations
12.
13.
Wu, Minhua, et al.. (2019). LINC01433/miR-2116-3p/MYC Feedback Loop Promotes Cell Proliferation, Migration, and the Epithelial-Mesenchymal Transition in Breast Cancer. Cancer Biotherapy and Radiopharmaceuticals. 34(6). 388–397. 11 indexed citations
14.
Ding, Jinhua, et al.. (2019). Long non-coding RNA MIF-AS1 promotes breast cancer cell proliferation, migration and EMT process through regulating miR-1249-3p/HOXB8 axis. Pathology - Research and Practice. 215(7). 152376–152376. 26 indexed citations
15.
Wu, Weizhu, et al.. (2019). Long noncoding RNA ADPGK-AS1 promotes cell proliferation, migration, and EMT process through regulating miR-3196/OTX1 axis in breast cancer. In Vitro Cellular & Developmental Biology - Animal. 55(7). 522–532. 21 indexed citations
16.
Wu, Minghua, et al.. (2018). Silencing of rhomboid domain containing 1 to inhibit the metastasis of human breast cancer cells in vitro.. SHILAP Revista de lepidopterología. 21(11). 1161–1166. 12 indexed citations
17.
Ding, Jinhua, et al.. (2017). Changes of breast cancer staging when AJCC prognostic staging manual is used: a retrospective analysis of a Chinese cohort. The International Journal of Biological Markers. 33(2). 168–173. 4 indexed citations
18.
Ding, Jinhua, Yinlong Yang, Li Jiang, Weizhu Wu, & Zhi‐Ming Shao. (2017). Predictive factors of pathologic complete response in HER2-positive and axillary lymph node positive breast cancer after neoadjuvant paclitaxel, carboplatin plus with trastuzumab. Oncotarget. 8(34). 56626–56634. 14 indexed citations
19.
Ding, Jinhua, Li Jiang, & Weizhu Wu. (2017). Predictive Value of Clinicopathological Characteristics for Sentinel Lymph Node Metastasis in Early Breast Cancer. Medical Science Monitor. 23. 4102–4108. 25 indexed citations
20.
Gu, Yu, Tianxiang Chen, Elena López‐Camacho, et al.. (2014). The therapeutic target of estrogen receptor-alpha36 in estrogen-dependent tumors. Journal of Translational Medicine. 12(1). 16–16. 30 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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