Xiaoyan Shi

749 total citations
34 papers, 587 citations indexed

About

Xiaoyan Shi is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Xiaoyan Shi has authored 34 papers receiving a total of 587 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 12 papers in Oncology and 8 papers in Cancer Research. Recurrent topics in Xiaoyan Shi's work include Cancer-related Molecular Pathways (8 papers), Cancer, Hypoxia, and Metabolism (5 papers) and Sulfur Compounds in Biology (5 papers). Xiaoyan Shi is often cited by papers focused on Cancer-related Molecular Pathways (8 papers), Cancer, Hypoxia, and Metabolism (5 papers) and Sulfur Compounds in Biology (5 papers). Xiaoyan Shi collaborates with scholars based in China, Mexico and Germany. Xiaoyan Shi's co-authors include Tianxiao Wang, Lupeng Wang, Wenyi Kang, Ya Liu, Juan Ye, Caixia Peng, Jinrong He, Yu Ding, Lan Xiao and Huimin Liang and has published in prestigious journals such as Journal of Biological Chemistry, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Xiaoyan Shi

33 papers receiving 576 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 Shi China 16 333 156 117 83 48 34 587
Surendar Tadi South Korea 9 456 1.4× 225 1.4× 103 0.9× 91 1.1× 54 1.1× 11 819
Thamara Nishida Xavier da Silva Brazil 12 394 1.2× 209 1.3× 63 0.5× 87 1.0× 32 0.7× 19 694
Kang-Sik Seo South Korea 12 341 1.0× 174 1.1× 108 0.9× 56 0.7× 53 1.1× 23 731
Xiangming Ji United States 12 422 1.3× 231 1.5× 69 0.6× 66 0.8× 61 1.3× 22 684
Yue Feng China 10 223 0.7× 73 0.5× 72 0.6× 65 0.8× 21 0.4× 12 367
Feng Huang China 16 439 1.3× 227 1.5× 52 0.4× 96 1.2× 86 1.8× 29 717
Yuyan Bao China 12 273 0.8× 99 0.6× 44 0.4× 56 0.7× 41 0.9× 22 579
E Farber Canada 9 290 0.9× 136 0.9× 46 0.4× 120 1.4× 37 0.8× 15 605
Nina Seiwert Germany 13 305 0.9× 92 0.6× 120 1.0× 109 1.3× 30 0.6× 17 535

Countries citing papers authored by Xiaoyan Shi

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoyan Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoyan Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoyan Shi. A scholar is included among the top collaborators of Xiaoyan Shi 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 Shi. Xiaoyan Shi 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.
Zhou, Bin, Xiaoyan Shi, Xiaoyan Shi, et al.. (2025). Predictive Analysis of Dental Caries Risk via Rapid Urease Activity Evaluation in Saliva Using a ZIF-8 Nanoporous Membrane. ACS Sensors. 10(6). 3888–3897. 1 indexed citations
2.
Chen, Meiyun, Yuanjing Zou, Chang Peng, et al.. (2024). Phellodendron chinense C.K.Schneid: An in vitro study on its anti-Helicobacter pylori effect. Journal of Ethnopharmacology. 333. 118396–118396. 6 indexed citations
3.
Shi, Xiaoyan, Shou‐Nian Ding, Ning Bao, et al.. (2024). CS/PVP Hydrogel-Based Nanocapillary for Monitoring Bacterial Growth and Rapid Antibiotic Susceptibility Testing. ACS Sensors. 9(7). 3540–3548. 2 indexed citations
4.
Ou, Ling, Hengrui Liu, Xiaoyan Shi, et al.. (2023). Terminalia chebula Retz. aqueous extract inhibits the Helicobacter pylori-induced inflammatory response by regulating the inflammasome signaling and ER-stress pathway. Journal of Ethnopharmacology. 320. 117428–117428. 21 indexed citations
5.
Liu, Ya, Lupeng Wang, Xiuli Zhang, et al.. (2021). A novel cystathionine γ-lyase inhibitor, I194496, inhibits the growth and metastasis of human TNBC via downregulating multiple signaling pathways. Scientific Reports. 11(1). 8963–8963. 15 indexed citations
6.
Shi, Xiaoyan, et al.. (2019). Proton pump inhibitors can reverse the YAP mediated paclitaxel resistance in epithelial ovarian cancer. BMC Molecular and Cell Biology. 20(1). 49–49. 35 indexed citations
7.
Li, Xiaona, Fei Han, Wenbin Liu, & Xiaoyan Shi. (2018). PTBP1 promotes tumorigenesis by regulating apoptosis and cell cycle in colon cancer. Bulletin du Cancer. 105(12). 1193–1201. 32 indexed citations
8.
Qi, Hao, Xiaoyan Shi, Miao Yu, et al.. (2018). Sirtuin 7–mediated deacetylation of WD repeat domain 77 (WDR77) suppresses cancer cell growth by reducing WDR77/PRMT5 transmethylase complex activity. Journal of Biological Chemistry. 293(46). 17769–17779. 27 indexed citations
9.
Shi, Xiaoyan, Lan Xiao, Jinrong He, et al.. (2018). miR-205-5p Mediated Downregulation of PTEN Contributes to Cisplatin Resistance in C13K Human Ovarian Cancer Cells. Frontiers in Genetics. 9. 555–555. 40 indexed citations
11.
Fu, Di, Yingchun Li, Jia Li, et al.. (2016). The effect of S1P receptor signaling pathway on the survival and drug resistance in multiple myeloma cells. Molecular and Cellular Biochemistry. 424(1-2). 185–193. 12 indexed citations
12.
Liang, Huimin, Jiyu Lou, Yaozhou Zhang, Xiaoyan Shi, & Tianxiang Wei. (2014). Role of Notch-1 signaling pathway in PC12 cell apoptosis induced by amyloid beta-peptide (25-35). Neural Regeneration Research. 9(13). 1297–1297. 10 indexed citations
13.
Wang, Tianxiao, et al.. (2013). Reversal of multidrug resistance by 5,5′-dimethoxylariciresinol-4-O-β-D-glucoside in doxorubicin-resistant human leukemia K562/DOX. Indian Journal of Pharmacology. 45(6). 597–597. 15 indexed citations
14.
Wang, Tianxiao, et al.. (2013). Prosapogenin A induces apoptosis in human cancer cells in vitro via inhibition of the STAT3 signaling pathway and glycolysis. Oncology Letters. 6(5). 1323–1328. 18 indexed citations
15.
Shi, Xiaoyan, Ling Xi, Danhui Weng, et al.. (2008). Clinicopathological Significance of VEGF-C, VEGFR-3 and Cyclooxygenase-2 in Early-Stage Cervical Cancer.. Europe PMC (PubMed Central). 5 indexed citations
16.
Ma, Ding, Shixuan Wang, Jianfeng Zhou, et al.. (2008). Clinicopathological Significance of VEGF-C, VEGFR-3 and Cyclooxygenase-2 in Early-Stage Cervical Cancer. International Journal of Biomedical Science. 4(1). 58–63. 6 indexed citations
17.
Xing, Hui, Xiaobing Han, Xiaoyan Shi, et al.. (2008). Apoptosis of HeLa cells induced by cisplatin and its mechanism. Journal of Huazhong University of Science and Technology [Medical Sciences]. 28(2). 197–199. 21 indexed citations
18.
Xiao, Bo, et al.. (2007). Preparation of porous ceramisite for waste water treatment made from red mud. Journal of Wuhan University of Technology-Mater Sci Ed. 22(1). 31–34. 3 indexed citations
19.
Xing, Hui, et al.. (2005). The mechanism of cisplatin-induced apoptosis in HeLa cells. Chinese Journal of Clinical Oncology. 2(6). 866–869. 6 indexed citations
20.
Hu, Guoqing & Xiaoyan Shi. (2004). The Significance of the Expression of CyclinD1 and Ki67 Antigen in Nasopharyngeal Carcinoma. The Chinese-German Journal of Clinical Oncology. 3(1). 1 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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