Xiaoyan Zhou

1.2k total citations
52 papers, 906 citations indexed

About

Xiaoyan Zhou is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Pathology and Forensic Medicine. According to data from OpenAlex, Xiaoyan Zhou has authored 52 papers receiving a total of 906 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 10 papers in Endocrinology, Diabetes and Metabolism and 8 papers in Pathology and Forensic Medicine. Recurrent topics in Xiaoyan Zhou's work include Alkaline Phosphatase Research Studies (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers) and Heterotopic Ossification and Related Conditions (3 papers). Xiaoyan Zhou is often cited by papers focused on Alkaline Phosphatase Research Studies (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers) and Heterotopic Ossification and Related Conditions (3 papers). Xiaoyan Zhou collaborates with scholars based in China, United States and United Kingdom. Xiaoyan Zhou's co-authors include Yazhou Cui, Jinxiang Han, Hong Yan, Jinxiang Han, Mei Tian, Guanhua Song, Meijuan Zong, Yu Chen, Jing Luan and Duolao Wang and has published in prestigious journals such as PLoS ONE, Journal of Pharmacology and Experimental Therapeutics and Fuel.

In The Last Decade

Xiaoyan Zhou

50 papers receiving 873 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoyan Zhou China 17 226 164 127 117 113 52 906
Hejing Wang China 19 423 1.9× 255 1.6× 136 1.1× 124 1.1× 161 1.4× 34 1.3k
Jamila Alessandra Perini Brazil 19 232 1.0× 138 0.8× 45 0.4× 139 1.2× 46 0.4× 72 1.5k
Pang Yao China 13 224 1.0× 89 0.5× 90 0.7× 109 0.9× 55 0.5× 44 789
Kui Zhang China 23 425 1.9× 208 1.3× 53 0.4× 203 1.7× 153 1.4× 111 1.8k
Jiajie Zang China 20 139 0.6× 143 0.9× 212 1.7× 122 1.0× 42 0.4× 81 1.5k
Jie Wang China 21 290 1.3× 209 1.3× 58 0.5× 395 3.4× 177 1.6× 132 1.6k
Nan Jin China 17 503 2.2× 202 1.2× 61 0.5× 48 0.4× 179 1.6× 53 1.4k
Bolan Yu China 24 501 2.2× 116 0.7× 83 0.7× 91 0.8× 110 1.0× 60 1.4k
Yiyun Zhang China 20 348 1.5× 151 0.9× 128 1.0× 31 0.3× 165 1.5× 71 1.2k
Ray M. Lowenthal Australia 20 242 1.1× 303 1.8× 98 0.8× 72 0.6× 40 0.4× 46 1.7k

Countries citing papers authored by Xiaoyan Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoyan Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoyan Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoyan Zhou. A scholar is included among the top collaborators of Xiaoyan 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 Xiaoyan Zhou. Xiaoyan 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.
He, Qingfang, et al.. (2024). Association between glycated hemoglobin and risk of all‐cause mortality in community patients with type 2 diabetes: A prospective cohort study. Journal of Diabetes Investigation. 15(7). 939–945. 2 indexed citations
2.
Li, J Y, et al.. (2023). The biology and treatment of Epstein-Barr virus-positive diffuse large B cell lymphoma, NOS. Heliyon. 10(1). e23921–e23921. 8 indexed citations
3.
4.
5.
Zhang, Jiaxiang, Juan Chen, Ting Chen, et al.. (2023). Xiaojianzhong decoction prevents gastric precancerous lesions in rats by inhibiting autophagy and glycolysis in gastric mucosal cells. World Journal of Gastrointestinal Oncology. 15(3). 464–489. 6 indexed citations
6.
Qin, Ling, Qiming Zheng, Jinliang Liu, et al.. (2022). Structural regulation of Co-based coordination polymers by adjusting solvent polarity toward electrocatalytic hydrogen evolution performance. New Journal of Chemistry. 46(16). 7355–7365. 4 indexed citations
7.
Xu, Yan, Jun Liu, Dawei Chen, et al.. (2021). Effects of Dietary Pork Fat Cooked Using Different Methods on Glucose and Lipid Metabolism, Liver Inflammation and Gut Microbiota in Rats. Foods. 10(12). 3030–3030. 11 indexed citations
8.
Wang, Meng, Ruying Hu, Weiwei Gong, et al.. (2021). Trends in prevalence of gestational diabetes mellitus in Zhejiang Province, China, 2016–2018. Nutrition & Metabolism. 18(1). 12–12. 11 indexed citations
9.
Wang, Yue, Qianqian Xue, Qiang Zheng, et al.. (2020). SMAD4 mutation correlates with poor prognosis in non-small cell lung cancer. Laboratory Investigation. 101(4). 463–476. 21 indexed citations
10.
11.
Hou, Xuhong, Xiaoyan Zhou, Jin‐Tai Yu, et al.. (2019). The long-term effectiveness of metabolic control on cardiovascular disease in patients with diabetes in a real-world health care setting — A prospective diabetes management study. Primary care diabetes. 14(3). 274–281. 4 indexed citations
12.
Zhou, Xiaoyan, et al.. (2016). Apixaban Inhibits Cerebral Microembolic Signals Derived from Carotid Arterial Thrombosis in Rabbits. Journal of Pharmacology and Experimental Therapeutics. 358(3). 405–412. 4 indexed citations
13.
Li, Chengzhi, Yazhou Cui, Jing Luan, et al.. (2016). Tenascin C affects mineralization of SaOS2 osteoblast-like cells through matrix vesicles. Drug Discoveries & Therapeutics. 10(2). 82–87. 16 indexed citations
14.
Zhou, Xiaoyan, et al.. (2016). A rabbit model of cerebral microembolic signals for translational research: preclinical validation for aspirin and clopidogrel. Journal of Thrombosis and Haemostasis. 14(9). 1855–1866. 8 indexed citations
15.
Shui, Ruohong, Anqi Li, Fei Yang, et al.. (2014). Primary squamous cell carcinoma of the breast with unusual basal-HER2 phenotype.. PubMed. 7(8). 5203–9. 17 indexed citations
16.
Tan, Rongshao, et al.. (2014). A Low Glycemic Index Staple Diet Reduces Postprandial Glucose Values in Asian Women with Gestational Diabetes Mellitus. Journal of Investigative Medicine. 62(8). 975–979. 34 indexed citations
17.
Zhou, Xiaoying, Yazhou Cui, Jing Luan, et al.. (2013). Label-free quantification proteomics reveals novel calcium binding proteins in matrix vesicles isolated from mineralizing Saos-2 cells. BioScience Trends. 7(3). 144–51. 13 indexed citations
18.
Qu, Pengfei, Lingxia Zeng, Xiaoyan Zhou, et al.. (2013). [Ethnic differences on nutritional status of children under 3 years old in poor counties of the western China].. PubMed. 34(4). 346–50. 2 indexed citations
19.
Liu, Jianmin, et al.. (2011). The Association of LRP5 Gene Polymorphisms with Ankylosing Spondylitis in a Chinese Han Population. The Journal of Rheumatology. 38(12). 2616–2618. 4 indexed citations
20.
Liu, Fangqi, Lei Liu, Zuofeng Li, et al.. (2011). Distinct mutations in MLH1 and MSH2 genes in Hereditary Non-polyposis Colorectal Cancer (HNPCC) families from China. BMB Reports. 44(5). 317–322. 15 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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