Xiaoping Zhou

1.1k total citations
37 papers, 834 citations indexed

About

Xiaoping Zhou is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Xiaoping Zhou has authored 37 papers receiving a total of 834 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 10 papers in Oncology and 8 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Xiaoping Zhou's work include Ferroptosis and cancer prognosis (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers) and Cancer Cells and Metastasis (3 papers). Xiaoping Zhou is often cited by papers focused on Ferroptosis and cancer prognosis (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers) and Cancer Cells and Metastasis (3 papers). Xiaoping Zhou collaborates with scholars based in China, United States and United Kingdom. Xiaoping Zhou's co-authors include Dongbo Li, Han Zhang, Hongfei Ji, Jinlu Wang, Ziwen Zhang, Nicholas K. Hayward, Xingjian Niu, Sandra Pavey, David C. Whiteman and Qingyuan Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Bacteriology and International Journal of Molecular Sciences.

In The Last Decade

Xiaoping Zhou

31 papers receiving 822 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoping Zhou China 12 534 248 203 145 110 37 834
Donna Butcher United States 19 366 0.7× 276 1.1× 330 1.6× 120 0.8× 171 1.6× 39 956
Guang Wu China 20 540 1.0× 239 1.0× 192 0.9× 273 1.9× 90 0.8× 48 927
Shaojie Jiang China 11 562 1.1× 239 1.0× 76 0.4× 196 1.4× 105 1.0× 16 840
Sarah T. Diepstraten Australia 10 439 0.8× 159 0.6× 118 0.6× 102 0.7× 55 0.5× 18 651
Houda Alachkar United States 20 613 1.1× 192 0.8× 236 1.2× 156 1.1× 55 0.5× 60 1.0k
Bin Kang China 16 551 1.0× 182 0.7× 106 0.5× 280 1.9× 89 0.8× 39 842
Baoxu Pang Netherlands 12 710 1.3× 232 0.9× 112 0.6× 108 0.7× 55 0.5× 16 1000
Gerald Timelthaler Austria 17 488 0.9× 272 1.1× 186 0.9× 137 0.9× 140 1.3× 40 942
Reza Beheshti Zavareh United States 12 626 1.2× 242 1.0× 136 0.7× 254 1.8× 54 0.5× 15 929
Ailsa J. Frew Australia 7 1.0k 1.9× 305 1.2× 305 1.5× 162 1.1× 84 0.8× 7 1.3k

Countries citing papers authored by Xiaoping Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoping Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoping Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoping Zhou. A scholar is included among the top collaborators of Xiaoping Zhou 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 Xiaoping Zhou. Xiaoping Zhou 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.
Li, Qiang, Xiaoping Zhou, Yanhui Yang, et al.. (2025). Nintedanib abrogates patient vitreous-induced Akt activation and tube formation of human retinal microvascular endothelial cells. Tissue and Cell. 94. 102817–102817.
2.
Lu, Zhenwei, Sifang Chen, Xiaoping Zhou, et al.. (2025). Multicenter Development of a Clinical-Molecular Nomogram for Predicting Survival in Lung Cancer Brain Metastasis Patients. Cancer Management and Research. Volume 17. 1881–1895.
3.
Wu, Shanshan, et al.. (2024). Crystal structure of naphthalen-1-ylmethyl 2-(6-methoxynaphthalen-2-yl)propanoate, C25H22O3. SHILAP Revista de lepidopterología. 239(3). 391–393.
4.
Liu, Jinfeng, Lei Huang, Xiaoping Zhou, et al.. (2024). Disulfidptosis and ferroptosis related genes predict prognosis and personalize treatment for hepatocellular carcinoma. Translational Cancer Research. 13(2). 496–514. 1 indexed citations
5.
Zhou, Xiaoping, et al.. (2024). The ZIC2-Claudin-18.2 Axis Stimulates Pancreatic Cancer Progression and Metastasis via Activation of the ERK1/2 Signaling Pathway. The Tohoku Journal of Experimental Medicine. 266(3). 247–256.
6.
Yao, Xiaoming, et al.. (2023). A novel pupilloplasty in crescent-shaped suturing pattern for coloboma and traumatic iris defects. BMC Ophthalmology. 23(1). 119–119.
7.
Wang, Dong, et al.. (2023). The compensatory mechanism and clinical significance of hydrocephalus after cranioplasty. Frontiers in Neurology. 13. 1075137–1075137. 2 indexed citations
8.
Zhang, Ziwen, Han Zhang, Dongbo Li, et al.. (2021). LncRNA ST7-AS1 is a Potential Novel Biomarker and Correlated With Immune Infiltrates for Breast Cancer. Frontiers in Molecular Biosciences. 8. 604261–604261. 15 indexed citations
9.
Su, Wenjia, Xingjian Niu, Hongfei Ji, et al.. (2020). A novel classification based on B-cell receptor signal gene expression correlates with prognosis in primary breast diffuse large B-cell lymphoma. Journal of Cancer. 11(9). 2431–2441. 4 indexed citations
10.
Jiang, Kai, Jiahao Yu, Zijian Xiao, et al.. (2020). Design, synthesis, and biological evaluation of 3-amino-2-oxazolidinone derivatives as potent quorum-sensing inhibitors of Pseudomonas aeruginosa PAO1. European Journal of Medicinal Chemistry. 194. 112252–112252. 40 indexed citations
11.
Liang, Di, Wei Sun, Mengnan Jiang, et al.. (2019). Molecular design and anticancer activities of small-molecule monopolar spindle 1 inhibitors: A Medicinal chemistry perspective. European Journal of Medicinal Chemistry. 175. 247–268. 22 indexed citations
12.
Huang, Lan, Hongfei Ji, Lei Yin, et al.. (2019). High Expression of Plakoglobin Promotes Metastasis in Invasive Micropapillary Carcinoma of the Breast via Tumor Cluster Formation. Journal of Cancer. 10(12). 2800–2810. 23 indexed citations
13.
14.
Cao, Fangyuan, et al.. (2016). Chemical Structure Characteristics and Bioactivity of Small Molecule FAK Inhibitors. Anti-Cancer Agents in Medicinal Chemistry. 16(8). 934–941. 8 indexed citations
15.
Li, Xiaokai, Jiayi Shen, Li Tan, et al.. (2016). Design and synthesis of N-(4-aminopyridin-2-yl)amides as B-RafV600E inhibitors. Bioorganic & Medicinal Chemistry Letters. 26(12). 2760–2763. 7 indexed citations
16.
Li, Hongzhou, et al.. (2015). Coexistence of and interaction relationships between an aflatoxin-producing fungus and a bacterium. Fungal Biology. 119(7). 605–614. 9 indexed citations
17.
Xu, Jinjiang, et al.. (2013). Association between vitamin D receptor poly(A) polymorphism and breast cancer risk: a meta-analysis. Tumor Biology. 35(1). 589–593. 5 indexed citations
18.
Zhu, Bo, et al.. (2011). Genome Sequence of the Enterobacter mori Type Strain, LMG 25706, a Pathogenic Bacterium of Morus alba L.. Journal of Bacteriology. 193(14). 3670–3671. 7 indexed citations
19.
20.
Whiteman, David C., Xiaoping Zhou, Margaret C. Cummings, et al.. (2002). Nuclear PTEN expression and clinicopathologic features in a population‐based series of primary cutaneous melanoma. International Journal of Cancer. 99(1). 63–67. 154 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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