Shijian Quan

571 total citations
21 papers, 446 citations indexed

About

Shijian Quan is a scholar working on Molecular Biology, Pharmacology and Pharmacology. According to data from OpenAlex, Shijian Quan has authored 21 papers receiving a total of 446 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Pharmacology and 5 papers in Pharmacology. Recurrent topics in Shijian Quan's work include Chronic Kidney Disease and Diabetes (4 papers), Traditional Chinese Medicine Analysis (3 papers) and Pharmacological Effects of Natural Compounds (3 papers). Shijian Quan is often cited by papers focused on Chronic Kidney Disease and Diabetes (4 papers), Traditional Chinese Medicine Analysis (3 papers) and Pharmacological Effects of Natural Compounds (3 papers). Shijian Quan collaborates with scholars based in China, United States and Saudi Arabia. Shijian Quan's co-authors include Heqing Huang, Yan Yang, Kai Zhuang, Renbin Liu, Zeyuan Lin, Haiming Xiao, Heqing Huang, Meng Zhang, Zhiquan Chen and Xiaohong Sun and has published in prestigious journals such as Molecules, Journal of Ethnopharmacology and Experimental Cell Research.

In The Last Decade

Shijian Quan

21 papers receiving 444 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shijian Quan China 12 189 74 65 62 62 21 446
Esther T. Menze Egypt 17 199 1.1× 60 0.8× 67 1.0× 84 1.4× 79 1.3× 32 659
Sachin V. Suryavanshi India 10 129 0.7× 86 1.2× 45 0.7× 47 0.8× 58 0.9× 13 504
Ni Zheng China 10 184 1.0× 48 0.6× 76 1.2× 31 0.5× 44 0.7× 13 456
Maha A. Alamin Saudi Arabia 16 218 1.2× 81 1.1× 70 1.1× 61 1.0× 41 0.7× 30 709
Christina Chui‐Wa Poon Hong Kong 14 249 1.3× 78 1.1× 72 1.1× 80 1.3× 52 0.8× 28 528
Kirtikar Shukla United States 16 211 1.1× 70 0.9× 52 0.8× 41 0.7× 59 1.0× 29 570
Ho‐Shan Niu Taiwan 14 291 1.5× 57 0.8× 73 1.1× 49 0.8× 67 1.1× 32 557
Fang Dou China 12 221 1.2× 33 0.4× 82 1.3× 63 1.0× 85 1.4× 15 512
Mohammad Dallak Saudi Arabia 15 131 0.7× 78 1.1× 47 0.7× 42 0.7× 39 0.6× 43 591
Maha M. El‐Sawalhi Egypt 14 245 1.3× 85 1.1× 46 0.7× 98 1.6× 48 0.8× 29 748

Countries citing papers authored by Shijian Quan

Since Specialization
Citations

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

Fields of papers citing papers by Shijian Quan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shijian Quan

This figure shows the co-authorship network connecting the top 25 collaborators of Shijian Quan. A scholar is included among the top collaborators of Shijian Quan 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 Shijian Quan. Shijian Quan 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.
Lin, Hui, et al.. (2024). Evaluation of the effects of three different processing methods of aconite on rat metabolites based on high‐coverage pseudotargeted metabolomics. Journal of Separation Science. 47(1). e2300583–e2300583. 1 indexed citations
2.
Li, Yumeng, Xinyan Shi, Wei Yang, et al.. (2024). Network pharmacology analysis revealed the mechanism and active compounds of jiao tai wan in the treatment of type 2 diabetes mellitus via SRC/PI3K/AKT signaling. Journal of Ethnopharmacology. 337(Pt 2). 118898–118898. 10 indexed citations
3.
Chen, Xingru, et al.. (2023). Paeoniflorin, ferulic acid, and atractylenolide III improved LPS-induced neuroinflammation of BV2 microglia cells by enhancing autophagy. Journal of Pharmacological Sciences. 152(2). 151–161. 17 indexed citations
4.
5.
Chen, Xi, et al.. (2022). The role of tonifying kidney decoction and acupuncture in the treatment of Alzheimer’s disease: A network meta-analysis. Medicine. 101(46). e31243–e31243. 2 indexed citations
6.
Liu, Wenbin, Jie Wang, Xiaoting Wu, et al.. (2022). Emodin accelerates diabetic wound healing by promoting anti-inflammatory macrophage polarization. European Journal of Pharmacology. 936. 175329–175329. 40 indexed citations
7.
8.
Li, Qian, et al.. (2021). Schisandra chinensis polysaccharides exerts anti-oxidative effect in vitro through Keap1-Nrf2-ARE pathway. Food Science and Technology. 42. 8 indexed citations
9.
Zhuang, Kai, Renbin Liu, Yumei Wang, et al.. (2021). Formononetin Activates the Nrf2/ARE Signaling Pathway Via Sirt1 to Improve Diabetic Renal Fibrosis. Frontiers in Pharmacology. 11. 616378–616378. 50 indexed citations
10.
Li, Xuejuan, Zhanchi Xu, Yan Yang, et al.. (2020). Polydatin attenuates renal fibrosis in diabetic mice through regulating the Cx32-Nox4 signaling pathway. Acta Pharmacologica Sinica. 41(12). 1587–1596. 37 indexed citations
11.
Lv, Jia‐Wei, et al.. (2020). <p>Renoprotective Effect of Formononetin by Suppressing Smad3 Expression in Db/Db Mice</p>. Diabetes Metabolic Syndrome and Obesity. Volume 13. 3313–3324. 17 indexed citations
12.
Xiao, Haiming, Xiaohong Sun, Renbin Liu, et al.. (2019). Gentiopicroside activates the bile acid receptor Gpbar1 (TGR5) to repress NF-kappaB pathway and ameliorate diabetic nephropathy. Pharmacological Research. 151. 104559–104559. 85 indexed citations
13.
Sun, Xiaohong, Haiming Xiao, Yan Yang, et al.. (2019). PAQR3 regulates phosphorylation of FoxO1 in insulin-resistant HepG2 cells via NF-κB signaling pathway. Experimental Cell Research. 381(2). 301–310. 18 indexed citations
14.
Wang, Xinchen, Hongying Li, Jia Mi, et al.. (2019). Effect of safflower yellow on early type II diabetic nephropathy: a systematic review and meta-analysis of randomized controlled trials. Journal of Pediatric Endocrinology and Metabolism. 32(7). 653–665. 13 indexed citations
15.
Mi, Jia, et al.. (2019). <p>Effect of berberine on the HPA-axis pathway and skeletal muscle GLUT4 in type 2 diabetes mellitus rats</p>. Diabetes Metabolic Syndrome and Obesity. Volume 12. 1717–1725. 32 indexed citations
16.
Li, Hongying, et al.. (2018). Jiao-Tai-Wan Improves Cognitive Dysfunctions through Cholinergic Pathway in Scopolamine-Treated Mice. BioMed Research International. 2018. 1–16. 18 indexed citations
17.
Wang, Xiangyu, et al.. (2018). Pharmacokinetic Profiling of Butylidenephthalide and Alisol B in Danggui-Shaoyao-San in Rats. European Journal of Drug Metabolism and Pharmacokinetics. 43(6). 645–653. 3 indexed citations
18.
Yang, Yan, Wenyan Gong, Zhiquan Chen, et al.. (2018). Naringin ameliorates experimental diabetic renal fibrosis by inhibiting the ERK1/2 and JNK MAPK signaling pathways. Journal of Functional Foods. 50. 53–62. 11 indexed citations
19.
Liu, Sijun, Cong Yang, Yue Zhang, et al.. (2016). Neuroprotective effect of &beta;-asarone against Alzheimer&rsquo;s disease: regulation of synaptic plasticity by increased expression of SYP and GluR1. Drug Design Development and Therapy. 10. 1461–1461. 46 indexed citations
20.
Yu, Yang, et al.. (2015). Pharmacokinetic and nephroprotective benefits of using Schisandra chinensis extracts in a cyclosporine A-based immune-suppressive regime. Drug Design Development and Therapy. 9. 4997–4997. 20 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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