Ziping Wu

537 total citations
19 papers, 383 citations indexed

About

Ziping Wu is a scholar working on Cancer Research, Oncology and Molecular Biology. According to data from OpenAlex, Ziping Wu has authored 19 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cancer Research, 9 papers in Oncology and 6 papers in Molecular Biology. Recurrent topics in Ziping Wu's work include Breast Cancer Treatment Studies (6 papers), HER2/EGFR in Cancer Research (5 papers) and Cancer-related molecular mechanisms research (3 papers). Ziping Wu is often cited by papers focused on Breast Cancer Treatment Studies (6 papers), HER2/EGFR in Cancer Research (5 papers) and Cancer-related molecular mechanisms research (3 papers). Ziping Wu collaborates with scholars based in China, India and Hong Kong. Ziping Wu's co-authors include Wenjin Yin, Jinsong Lu, Liheng Zhou, Shuguang Xu, Yanping Lin, Jing Peng, Yaqian Xu, Yaohui Wang, Chenwei Yuan and Xiaonan Sheng and has published in prestigious journals such as Chemical Communications, Clinical Cancer Research and International Journal of Cancer.

In The Last Decade

Ziping Wu

19 papers receiving 380 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ziping Wu China 11 196 182 120 103 28 19 383
Tong Yang China 14 138 0.7× 266 1.5× 160 1.3× 157 1.5× 23 0.8× 40 494
Danbi Seo South Korea 4 123 0.6× 178 1.0× 67 0.6× 56 0.5× 47 1.7× 6 328
Miaoling He United States 11 127 0.6× 157 0.9× 176 1.5× 99 1.0× 18 0.6× 20 384
Johan Swinnen Belgium 7 107 0.5× 131 0.7× 99 0.8× 47 0.5× 44 1.6× 16 330
Mengshen Wang China 9 271 1.4× 314 1.7× 48 0.4× 118 1.1× 22 0.8× 18 492
Mozhi Wang China 10 194 1.0× 219 1.2× 41 0.3× 125 1.2× 20 0.7× 24 395
Pascale Fisel Germany 9 163 0.8× 357 2.0× 89 0.7× 161 1.6× 18 0.6× 10 508
Jianyu Xu China 14 234 1.2× 331 1.8× 78 0.7× 103 1.0× 17 0.6× 33 515
Milan Král Czechia 13 90 0.5× 218 1.2× 168 1.4× 132 1.3× 24 0.9× 41 444

Countries citing papers authored by Ziping Wu

Since Specialization
Citations

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

Fields of papers citing papers by Ziping Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ziping Wu

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

All Works

19 of 19 papers shown
1.
2.
Wu, Ziping, Yanping Lin, Shuguang Xu, et al.. (2023). Genetic polymorphisms of GGT1 gene (rs8135987, rs5751901 and rs2017869) are associated with neoadjuvant chemotherapy efficacy and toxicities in breast cancer patients. BMC Medical Genomics. 16(1). 267–267. 1 indexed citations
3.
Yin, Wenjin, Yaohui Wang, Ziping Wu, et al.. (2022). Neoadjuvant Trastuzumab and Pyrotinib for Locally Advanced HER2-Positive Breast Cancer (NeoATP): Primary Analysis of a Phase II Study. Clinical Cancer Research. 28(17). 3677–3685. 26 indexed citations
4.
Sha, Rui, Ziping Wu, Yaqian Xu, et al.. (2021). Predictive value of lncRNA LOC100505851 in breast cancer in the neoadjuvant setting. Gland Surgery. 10(6). 1899–1909. 2 indexed citations
5.
Sha, Rui, Yaqian Xu, Chenwei Yuan, et al.. (2021). Predictive and prognostic impact of ferroptosis-related genes ACSL4 and GPX4 on breast cancer treated with neoadjuvant chemotherapy. EBioMedicine. 71. 103560–103560. 119 indexed citations
6.
Jiang, Yiwei, Yaqian Xu, Yaohui Wang, et al.. (2021). Comparison of adverse drug reactions between tamoxifen and toremifene in breast cancer patients with different CYP2D6 genotypes: A propensity‐score matched cohort study. International Journal of Cancer. 150(10). 1664–1676. 11 indexed citations
7.
Zhang, Shan, Pei-Qi Huang, Huijuan Dai, et al.. (2020). TIMELESS regulates sphingolipid metabolism and tumor cell growth through Sp1/ACER2/S1P axis in ER-positive breast cancer. Cell Death and Disease. 11(10). 892–892. 35 indexed citations
8.
Wu, Ziping, Jing Peng, Shuguang Xu, et al.. (2020). Programmed death-ligand 1 single nucleotide polymorphism affects breast cancer chemosensitivity and adverse events in the neoadjuvant setting. The International Journal of Biological Markers. 35(3). 38–49. 2 indexed citations
9.
Wu, Ziping, Liheng Zhou, Yaohui Wang, et al.. (2020). The impact of EGFR gene polymorphisms on the response and toxicity derived from neoadjuvant chemotherapy for breast cancer. Gland Surgery. 9(4). 925–935. 4 indexed citations
10.
Peng, Jing, Chenwei Yuan, Ziping Wu, et al.. (2020). Upregulation of microRNA‑1 inhibits proliferation and metastasis of breast cancer. Molecular Medicine Reports. 22(1). 454–464. 25 indexed citations
11.
12.
Wu, Ziping, Lei Zhang, Jing Peng, et al.. (2019). Predictive and prognostic value of PDL1 protein expression in breast cancer patients in neoadjuvant setting. Cancer Biology & Therapy. 20(6). 941–947. 16 indexed citations
13.
Wu, Ziping, Jing Peng, Yan Wang, et al.. (2019). Association of LncRNA MEG3 polymorphisms with efficacy of neoadjuvant chemotherapy in breast cancer. BMC Cancer. 19(1). 877–877. 36 indexed citations
14.
Wu, Ziping, Lei Zhang, Shuguang Xu, et al.. (2019). Predictive and prognostic value of ZEB1 protein expression in breast cancer patients with neoadjuvant chemotherapy. Cancer Cell International. 19(1). 78–78. 9 indexed citations
15.
Wu, Ziping, et al.. (2018). Advances in treatment of metastatic breast cancer with bone metastasis. Chinese Clinical Oncology. 7(3). 31–31. 6 indexed citations
16.
Wu, Ziping, Shuguang Xu, Liheng Zhou, et al.. (2018). Clinical significance of quantitative <em>HER2</em> gene amplification as related to its predictive value in breast cancer patients in neoadjuvant setting. OncoTargets and Therapy. Volume 11. 801–808. 19 indexed citations
17.
Tang, Gao, Shuanglian Wang, Mian Liu, et al.. (2018). A self-assembled nanoprobe for long-term cancer cell nucleus-specific staining and two-photon breast cancer imaging. Chemical Communications. 54(29). 3578–3581. 19 indexed citations
18.
Zhou, Liheng, Shuguang Xu, Wenjin Yin, et al.. (2017). Weekly paclitaxel and cisplatin as neoadjuvant chemotherapy with locally advanced breast cancer: a prospective, single arm, phase II study. Oncotarget. 8(45). 79305–79314. 30 indexed citations
19.
Sit, Janet W. H., Sijian Li, Emmy M. Y. Wong, et al.. (2010). Prevalence and Risk Factors Associated With Prehypertension. The Journal of Cardiovascular Nursing. 25(6). 461–469. 17 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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