Xiaoyan Shi

624 total citations
38 papers, 460 citations indexed

About

Xiaoyan Shi is a scholar working on Molecular Biology, Oncology and Pharmacology. According to data from OpenAlex, Xiaoyan Shi has authored 38 papers receiving a total of 460 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 7 papers in Oncology and 7 papers in Pharmacology. Recurrent topics in Xiaoyan Shi's work include Traditional Chinese Medicine Analysis (5 papers), Cancer-related molecular mechanisms research (4 papers) and Drug Transport and Resistance Mechanisms (4 papers). Xiaoyan Shi is often cited by papers focused on Traditional Chinese Medicine Analysis (5 papers), Cancer-related molecular mechanisms research (4 papers) and Drug Transport and Resistance Mechanisms (4 papers). Xiaoyan Shi collaborates with scholars based in China, United States and Israel. Xiaoyan Shi's co-authors include Zihan Chen, Min Dai, Hongfei Wu, Yarong Liu, Hanwen Huang, Bo Xiao, Jiakuan Yang, Xinping Zhou, Ling Zhou and Ying Sun and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Scientific Reports and Journal of Chromatography A.

In The Last Decade

Xiaoyan Shi

37 papers receiving 453 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 12 187 69 59 58 52 38 460
Wenyuan Li China 12 216 1.2× 44 0.6× 110 1.9× 32 0.6× 54 1.0× 44 493
Biqiang Zhu China 10 256 1.4× 43 0.6× 31 0.5× 72 1.2× 37 0.7× 13 427
Jie Bai China 13 156 0.8× 40 0.6× 32 0.5× 163 2.8× 92 1.8× 27 554
Lulu Li China 11 132 0.7× 40 0.6× 58 1.0× 44 0.8× 34 0.7× 72 428
Yaru Liu China 17 375 2.0× 111 1.6× 91 1.5× 71 1.2× 106 2.0× 55 784
Peipei Gao China 14 188 1.0× 60 0.9× 59 1.0× 84 1.4× 53 1.0× 42 526
Ali Alquraini Saudi Arabia 14 138 0.7× 41 0.6× 33 0.6× 45 0.8× 89 1.7× 22 587
Xueqing Jiang China 15 231 1.2× 73 1.1× 45 0.8× 125 2.2× 37 0.7× 30 623
Zhaohe Wang China 14 125 0.7× 20 0.3× 131 2.2× 36 0.6× 39 0.8× 31 585
Junjin Liu China 15 170 0.9× 25 0.4× 29 0.5× 153 2.6× 63 1.2× 36 498

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.
Shi, T.-J., Xiaoyan Shi, Yaoyao Li, et al.. (2024). Cytoskeleton dysfunction of motor neuron in spinal muscular atrophy. Journal of Neurology. 272(1). 19–19. 4 indexed citations
2.
Shi, Xiaoyan, et al.. (2024). Clinical diagnosis and treatment of seven patients diagnosed pneumonia caused by Chlamydia abortus: a case series report. Frontiers in Medicine. 11. 1406737–1406737. 3 indexed citations
3.
Yi, K., et al.. (2024). Differences in Public Perceptions of Recovery in Different Urban Forests Based on Birdsong. Forests. 15(12). 2217–2217. 4 indexed citations
4.
Shi, Xiaoyan, et al.. (2023). An Overview of Heavy Chain Ferritin in Cancer. Frontiers in Bioscience-Landmark. 28(8). 182–182. 13 indexed citations
5.
Qiu, Xin, et al.. (2022). LncRNA A2M-AS1 Promotes Ferroptosis in Pancreatic Cancer via Interacting With PCBP3. Molecular Cancer Research. 20(11). 1636–1645. 26 indexed citations
7.
Zhu, Fang, Danni He, Jing He, et al.. (2022). The miRNA125a-5p and miRNA125b-1-5p cluster induces cell invasion by down-regulating DDB2-reduced epithelial-to-mesenchymal transition (EMT) in colorectal cancer. Journal of Gastrointestinal Oncology. 13(6). 3112–3122. 8 indexed citations
8.
Hashimoto, Naoko, Kazuyuki Yamagata, Masataka Yokoyama, et al.. (2022). MicroRNA-874 targets phosphomevalonate kinase and inhibits cancer cell growth via the mevalonate pathway. Scientific Reports. 12(1). 18443–18443. 9 indexed citations
9.
Du, Liang, Yu Zhang, Xiaoyan Shi, et al.. (2021). Prevalence of Multidrug-Resistant Tuberculosis in Dalian, China: A Retrospective Study. Infection and Drug Resistance. Volume 14. 1037–1047. 8 indexed citations
10.
Shi, Xiaoyan, Hanwen Huang, Min Zhou, et al.. (2021). Paeonol Attenuated Vascular Fibrosis Through Regulating Treg/Th17 Balance in a Gut Microbiota-Dependent Manner. Frontiers in Pharmacology. 12. 765482–765482. 26 indexed citations
11.
Zhang, Bingbing, Xiaoyan Shi, Jun Feng, et al.. (2020). Recurrent seizures cause immature brain injury and changes in GABA a receptor α1 and γ2 subunits. Epilepsy Research. 163. 106328–106328. 6 indexed citations
12.
Shi, Xiaoyan, Ying Sun, Hai He, et al.. (2020). Paeonol inhibits NLRP3 mediated inflammation in rat endothelial cells by elevating hyperlipidemic rats plasma exosomal miRNA-223. European Journal of Pharmacology. 885. 173473–173473. 49 indexed citations
13.
Chen, Yunna, Lei Wang, Dongdong Guo, et al.. (2018). A rapid and efficient technique for liposomal and nonliposomal drug pharmacokinetics studies using magnetic nanoprobes and its application to leakage kinetics of liposomes. Journal of Chromatography A. 1580. 2–11. 5 indexed citations
14.
Chen, Zihan & Xiaoyan Shi. (2018). Adverse events of high-dose tigecycline in the treatment of ventilator-associated pneumonia due to multidrug-resistant pathogens. Medicine. 97(38). e12467–e12467. 39 indexed citations
15.
Xu, Pengfei, Sujuan Xu, Kai Xue, et al.. (2018). Peptidomic Analysis of Endometrial Tissue from Patients with Ovarian Endometriosis. Cellular Physiology and Biochemistry. 47(1). 107–118. 10 indexed citations
16.
He, Xin, et al.. (2014). P-glycoprotein- and organic anion-transporting polypeptide-mediated transport of periplocin may lead to drug–herb/drug–drug interactions. Drug Design Development and Therapy. 8. 475–475. 13 indexed citations
17.
He, Xin, et al.. (2013). In vitro–in vivocorrelations for three different commercial immediate-release indapamide tablets. Drug Development and Industrial Pharmacy. 40(12). 1670–1676. 13 indexed citations
18.
Shi, Xiaoyan, et al.. (2013). Hysteroscopic Transcervical Resection of Uterine Septum. JSLS Journal of the Society of Laparoscopic & Robotic Surgeons. 17(4). 517–520. 10 indexed citations
19.
Chen, Li, Wei Zhang, Qiang Xu, et al.. (2009). Effects of short-term enriched environment on the white matter and the myelinated fibers in the white matter of aged male rats. Chieh P'ou Hsueh Pao. 1 indexed citations
20.
Shi, Xiaoyan, et al.. (1998). Effects of neferine on platelet aggregation in patients with hyperlipidemias and healthy subjects. Zhongguo yaolixue tongbao. 14(3). 237–239. 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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