Cuiping Zhang

495 total citations
21 papers, 340 citations indexed

About

Cuiping Zhang is a scholar working on Molecular Biology, Cell Biology and Cancer Research. According to data from OpenAlex, Cuiping Zhang has authored 21 papers receiving a total of 340 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 8 papers in Cell Biology and 7 papers in Cancer Research. Recurrent topics in Cuiping Zhang's work include Hippo pathway signaling and YAP/TAZ (8 papers), Cancer-related molecular mechanisms research (5 papers) and Wnt/β-catenin signaling in development and cancer (3 papers). Cuiping Zhang is often cited by papers focused on Hippo pathway signaling and YAP/TAZ (8 papers), Cancer-related molecular mechanisms research (5 papers) and Wnt/β-catenin signaling in development and cancer (3 papers). Cuiping Zhang collaborates with scholars based in China. Cuiping Zhang's co-authors include Guangxi Zhou, Xiaoyu Li, Qi Zhang, Qi Zhang, Jing Li, Kun Yang, Kun Zhao, Qi Zhang, Qinghui Niu and Xinyuan Liu and has published in prestigious journals such as Journal of Ethnopharmacology, Oncotarget and Cancer Science.

In The Last Decade

Cuiping Zhang

20 papers receiving 336 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cuiping Zhang China 11 227 154 87 58 38 21 340
Anjum Riaz Sweden 6 268 1.2× 91 0.6× 53 0.6× 47 0.8× 29 0.8× 8 355
Shigekazu Murakami United States 6 242 1.1× 180 1.2× 59 0.7× 137 2.4× 77 2.0× 9 399
Nektaria Maria Leli United States 4 212 0.9× 161 1.0× 48 0.6× 33 0.6× 37 1.0× 6 344
Giulia Gobbi Italy 8 220 1.0× 142 0.9× 74 0.9× 40 0.7× 15 0.4× 9 319
Jianqiu Zou United States 10 306 1.3× 110 0.7× 38 0.4× 85 1.5× 25 0.7× 21 402
Ke-Jin Li China 5 210 0.9× 75 0.5× 153 1.8× 53 0.9× 31 0.8× 7 309
Yuki Yoshino Japan 10 228 1.0× 63 0.4× 54 0.6× 91 1.6× 75 2.0× 24 372
Lysann Sauer United Kingdom 7 290 1.3× 130 0.8× 49 0.6× 60 1.0× 26 0.7× 7 359
Т. Г. Рукша Russia 10 200 0.9× 51 0.3× 121 1.4× 78 1.3× 37 1.0× 71 322
Hiroki Imamura Japan 6 280 1.2× 196 1.3× 50 0.6× 57 1.0× 12 0.3× 24 413

Countries citing papers authored by Cuiping Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Cuiping Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cuiping Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Cuiping Zhang. A scholar is included among the top collaborators of Cuiping Zhang 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 Cuiping Zhang. Cuiping Zhang 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, Shuangshuang, Shuangshuang Wang, Xiaoqi Zhou, et al.. (2025). Multi-omics combining bioinformatic network with kidney-entry constituents revealed the bioactive components and potential mechanisms of Zhijun Tangshen decoction against diabetic nephropathy. Journal of Ethnopharmacology. 353(Pt B). 120436–120436.
3.
Huang, Mingtao, Qinxin Zhang, Jiao Jiao, et al.. (2024). Comprehensive genetic analysis of facioscapulohumeral muscular dystrophy by Nanopore long-read whole-genome sequencing. Journal of Translational Medicine. 22(1). 451–451. 3 indexed citations
4.
Zhang, Qi, et al.. (2022). LncRNA PVT1 Promotes Cell Proliferation, Invasion, and Migration and Inhibits Cell Apoptosis by Phosphorylating YAP. Canadian Journal of Gastroenterology and Hepatology. 2022. 1–10. 6 indexed citations
5.
Chen, Yaru, Yan Wang, Liang Xu, et al.. (2022). Effects of genotype and culture conditions on microspore embryogenesis in radish (Raphanus sativus L.). Molecular Breeding. 42(8). 43–43. 4 indexed citations
6.
Zhang, Wenqing, Cuiping Zhang, Yang Lin, et al.. (2022). Oncogenic LINC00857 recruits TFAP2C to elevate FAT1 expression in gastric cancer. Cancer Science. 114(1). 63–74. 9 indexed citations
7.
Xu, Jing, Xinyuan Liu, Qi Zhang, et al.. (2022). Crosstalk Among YAP, LncRNA, and Tumor-Associated Macrophages in Tumorigenesis Development. Frontiers in Oncology. 11. 810893–810893. 15 indexed citations
8.
Liu, Xinyuan, Qi Zhang, Jing Guo, et al.. (2022). The Role of Circular RNAs in the Drug Resistance of Cancers. Frontiers in Oncology. 11. 790589–790589. 25 indexed citations
9.
Liu, Xinyuan, Tian‐Qi Zhang, Qi Zhang, et al.. (2022). Differential Long Non-Coding RNA Expression Analysis in Chronic Non-Atrophic Gastritis, Gastric Mucosal Intraepithelial Neoplasia, and Gastric Cancer Tissues. Frontiers in Genetics. 13. 7 indexed citations
10.
He, Heng, Li Fan, Zhen Xu, et al.. (2020). Blockade of CXCR2 suppresses proinflammatory activities of neutrophils in ulcerative colitis.. PubMed. 12(9). 5237–5251. 25 indexed citations
11.
Zhang, Tianqi, Xiaoying Zhang, Cuiping Zhang, et al.. (2020). microRNA-365 inhibits YAP through TLR4-mediated IRF3 phosphorylation and thereby alleviates gastric precancerous lesions. Cancer Cell International. 20(1). 11 indexed citations
12.
Gao, Ping, et al.. (2017). Case report: a case of eruptive collagenoma occurring in esophagus and intestine. Diagnostic Pathology. 12(1). 30–30. 1 indexed citations
13.
Niu, Qinghui, Xiaoyu Li, Di Xia, et al.. (2017). MicroRNA-186 affects the proliferation of tumor cells via yes-associated protein 1 in the occurrence and development of pancreatic cancer. Experimental and Therapeutic Medicine. 14(3). 2094–2100. 10 indexed citations
14.
Li, Xiaoyu, Cuiping Zhang, Hua Gao, et al.. (2017). Protective effect of Holothurian intestine against indomethacin induced gastric mucosal damage in rats. Journal of Ocean University of China. 16(3). 547–554. 6 indexed citations
15.
Li, Xiaoyu, Yi Liu, Cuiping Zhang, et al.. (2017). Stiehopus japonieus acidic mucopolysaccharide inhibits the proliferation of pancreatic cancer SW1990 cells through Hippo-YAP pathway. Oncotarget. 8(10). 16356–16366. 14 indexed citations
16.
Zhao, Xianzhi, Wen Song, Zibin Tian, et al.. (2017). Pseudolaric Acid B Inhibits Proliferation, Invasion and Epithelial-to-Mesenchymal Transition in Human Pancreatic Cancer Cell. Yonsei Medical Journal. 59(1). 20–20. 11 indexed citations
17.
Su, Jing, Quan Zhang, Dezheng Sun, et al.. (2017). Machine learning assisted SRAF placement for full chip. 13–13. 9 indexed citations
18.
Zhang, Qi, Cuiping Zhang, Kun Liang, et al.. (2016). Wip 1 inhibits intestinal inflammation in inflammatory bowel disease. Cellular Immunology. 310. 63–70. 12 indexed citations
19.
Zhang, Cuiping, et al.. (2014). Expression of hippo pathway in colorectal cancer. Saudi Journal of Gastroenterology. 20(3). 188–188. 68 indexed citations
20.
Zhou, Guangxi, Xiaoyu Li, Qi Zhang, et al.. (2013). Effects of the Hippo Signaling Pathway in Human Gastric Cancer. Asian Pacific Journal of Cancer Prevention. 14(9). 5199–5205. 91 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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