Cuiping Zhao

541 total citations
24 papers, 450 citations indexed

About

Cuiping Zhao is a scholar working on Molecular Biology, Cancer Research and Cellular and Molecular Neuroscience. According to data from OpenAlex, Cuiping Zhao has authored 24 papers receiving a total of 450 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 6 papers in Cancer Research and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Cuiping Zhao's work include Muscle Physiology and Disorders (4 papers), Mesenchymal stem cell research (3 papers) and Nerve injury and regeneration (3 papers). Cuiping Zhao is often cited by papers focused on Muscle Physiology and Disorders (4 papers), Mesenchymal stem cell research (3 papers) and Nerve injury and regeneration (3 papers). Cuiping Zhao collaborates with scholars based in China, United States and Sweden. Cuiping Zhao's co-authors include Wei Tan, Stefan Schwartz, Marcus Sokolowski, Zhaohong Xie, Jianzhong Bi, Ping Wang, Shunliang Xu, Cheng Zhang, Yuji Guo and Zhengshan Liu and has published in prestigious journals such as Oncogene, The FASEB Journal and Biochemical and Biophysical Research Communications.

In The Last Decade

Cuiping Zhao

22 papers receiving 447 citations

Peers

Cuiping Zhao
Toshiya Nakano Japan
Mark Ginty United Kingdom
Crystal Pacut United States
Elena Abati Italy
Shane Gao China
Sou Sugitani Japan
Yiwu Dai China
Kazuyo Ikeda Japan
Ricardo Cambraia Parreira Brazil
Yuji Guo China
Toshiya Nakano Japan
Cuiping Zhao
Citations per year, relative to Cuiping Zhao Cuiping Zhao (= 1×) peers Toshiya Nakano

Countries citing papers authored by Cuiping Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Cuiping Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cuiping Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Cuiping Zhao. A scholar is included among the top collaborators of Cuiping Zhao 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 Zhao. Cuiping Zhao 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.
Wu, Hao, Xiaoping Chen, Lifeng Zhang, et al.. (2024). Ferroptosis-related lncRNA AL136084.3 is associated with NUPR1 in bladder cancer. Discover Oncology. 15(1). 730–730.
2.
Zhang, Xin, et al.. (2024). Low-carbohydrate diet score and chronic obstructive pulmonary disease: a machine learning analysis of NHANES data. Frontiers in Nutrition. 11. 1519782–1519782.
3.
Gao, Lei, et al.. (2023). Identification of hub genes in bladder transitional cell carcinoma through ceRNA network construction integrated with gene network analysis. Journal of Cellular and Molecular Medicine. 28(5). e17979–e17979. 2 indexed citations
4.
Zhao, Cuiping, Jingbao Kan, Zhe Xu, et al.. (2022). Higher BMI and lower femoral neck strength in males with type 2 diabetes mellitus and normal bone mineral density. The American Journal of the Medical Sciences. 364(5). 631–637. 6 indexed citations
5.
Zhou, Jing, et al.. (2021). Impacts of Chemokine (C-X-C Motif) Receptor 2 C1208T Polymorphism on Cancer Susceptibility. Journal of Immunology Research. 2021. 1–15. 2 indexed citations
6.
Kan, Jingbao, Cuiping Zhao, Shan Lü, et al.. (2019). S100A16, a novel lipogenesis promoting factor in livers of mice and hepatocytes in vitro. Journal of Cellular Physiology. 234(11). 21395–21406. 18 indexed citations
7.
Yang, Hui, Hongna Yang, Zhaohong Xie, et al.. (2013). Intravenous Administration of Human Umbilical Cord Mesenchymal Stem Cells Improves Cognitive Impairments and Reduces Amyloid-Beta Deposition in an AβPP/PS1 Transgenic Mouse Model. Neurochemical Research. 38(12). 2474–2482. 14 indexed citations
8.
Wang, Yun, Shunliang Xu, Zhen Liu, et al.. (2013). Meta-Analysis on the Association Between the TF Gene rs1049296 and AD. Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques. 40(5). 691–697. 10 indexed citations
9.
Zhao, Cuiping & Douglas M. Swank. (2013). An Embryonic Myosin Isoform Enables Stretch Activation and Cyclical Power in Drosophila Jump Muscle. Biophysical Journal. 104(12). 2662–2670. 11 indexed citations
10.
Yang, Hui, Zhaohong Xie, Shaonan Yang, et al.. (2012). A Butyrolactone Derivative 3BDO Alleviates Memory Deficits and Reduces Amyloid-β Deposition in an AβPP/PS1 Transgenic Mouse Model. Journal of Alzheimer s Disease. 30(3). 531–543. 16 indexed citations
11.
Wang, Ping, Zhaohong Xie, Yuji Guo, et al.. (2011). VEGF-induced angiogenesis ameliorates the memory impairment in APP transgenic mouse model of Alzheimer’s disease. Biochemical and Biophysical Research Communications. 411(3). 620–626. 88 indexed citations
12.
Clark, Kathleen A., et al.. (2011). Deletion of Drosophila muscle LIM protein decreases flight muscle stiffness and power generation. American Journal of Physiology-Cell Physiology. 301(2). C373–C382. 7 indexed citations
13.
Xia, Weiliang, Zheng Wang, Qing Wang, et al.. (2009). Roles of NAD / NADH and NADP+ / NADPH in Cell Death. Current Pharmaceutical Design. 15(1). 12–19. 67 indexed citations
14.
Xiong, Fu, et al.. (2009). Inhibition of myostatin promotes myogenic differentiation of rat bone marrow-derived mesenchymal stromal cells. Cytotherapy. 11(7). 849–863. 16 indexed citations
15.
Xu, Yongfeng, Zhengshan Liu, Lan Liu, et al.. (2008). Neurospheres from rat adipose-derived stem cells could be induced into functional Schwann cell-like cells in vitro. BMC Neuroscience. 9(1). 21–21. 85 indexed citations
16.
Xiong, Fu, Shaobo Xiao, Hui Zheng, et al.. (2007). Herpes Simplex Virus VP22 Enhances Adenovirus-Mediated Microdystrophin Gene Transfer to Skeletal Muscles in Dystrophin-Deficient ( mdx ) Mice. Human Gene Therapy. 18(6). 490–501. 8 indexed citations
17.
Xiong, Fu, Shaobo Xiao, Wanyi Li, et al.. (2007). Enhanced effect of microdystrophin gene transfection by HSV-VP22 mediated intercellular protein transport. BMC Neuroscience. 8(1). 50–50. 8 indexed citations
18.
Wen, Tieqiao, Xiaojun Liu, Fuxue Chen, et al.. (2005). Down-regulation of specific gene expression by double-strand RNA induces neural stem cell differentiation in vitro. Molecular and Cellular Biochemistry. 275(1-2). 215–221. 7 indexed citations
19.
Zhao, Cuiping, Marcus Sokolowski, Wei Tan, & Stefan Schwartz. (1998). Characterisation and partial purification of cellular factors interacting with a negative element on human papillomavirus type 1 late mRNAs. Virus Research. 55(1). 1–13. 8 indexed citations
20.
Sokolowski, Marcus, Cuiping Zhao, Wei Tan, & Stefan Schwartz. (1997). AU-rich mRNA instability elements on human papillomavirus type 1 late mRNAs and c-fos mRNAs interact with the same cellular factors. Oncogene. 15(19). 2303–2319. 43 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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