Yan-Kun Shi

649 total citations
27 papers, 556 citations indexed

About

Yan-Kun Shi is a scholar working on Molecular Biology, Cancer Research and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Yan-Kun Shi has authored 27 papers receiving a total of 556 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 7 papers in Cancer Research and 5 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Yan-Kun Shi's work include MicroRNA in disease regulation (4 papers), Ion Channels and Receptors (4 papers) and Signaling Pathways in Disease (4 papers). Yan-Kun Shi is often cited by papers focused on MicroRNA in disease regulation (4 papers), Ion Channels and Receptors (4 papers) and Signaling Pathways in Disease (4 papers). Yan-Kun Shi collaborates with scholars based in China, Finland and Czechia. Yan-Kun Shi's co-authors include Ruiwei Guo, Lixia Yang, Xianmei Wang, Lan Huang, Feng Qi, Nihong Lu, Yang Yu, Pan Gao, Mingbao Song and Hong Wang and has published in prestigious journals such as Scientific Reports, Biochemical and Biophysical Research Communications and Cardiovascular Research.

In The Last Decade

Yan-Kun Shi

25 papers receiving 554 citations

Peers

Yan-Kun Shi

IMMUN

SURGE

Qiongfeng Wu China

Moris Sangineto Italy

Wanli Cheng United States

Parmjit Bahra United Kingdom

Sujie Jia China

Duo Gong China

Zuheng Ma Sweden

Xi Hong China

Albert Dahdah United States

Fengna Yan China

Qiongfeng Wu China

Yan-Kun Shi

206 ×0.7

40 ×0.2

72 ×0.5

IMMUN

121 ×1.1

63 ×1.1

SURGE

Citations per year, relative to Yan-Kun Shi Yan-Kun Shi (= 1×) peers Qiongfeng Wu

Countries citing papers authored by Yan-Kun Shi

Since Specialization

Citations

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

Fields of papers citing papers by Yan-Kun Shi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yan-Kun Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Yan-Kun Shi. A scholar is included among the top collaborators of Yan-Kun 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 Yan-Kun Shi. Yan-Kun Shi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Chen, Ling, Xiaoxia Zhang, Meng Wang, et al.. (2025). Impact of enzymatic extruded brown rice flour on wheat-based dough properties and bread quality. Food Bioscience. 64. 105986–105986. 3 indexed citations

Chen, Yu, Yan-Kun Shi, Sha Fu, et al.. (2024). Nomogram models for predicting myocardial ischemia under high altitude exposure: a cohort study. Scientific Reports. 14(1). 28826–28826.

Chen, Yu, Wen-Ke Cai, Jie Yu, et al.. (2024). Integrated analysis of differentially expressed genes and miRNA expression profiles in dilated cardiomyopathy. Heliyon. 10(4). e25569–e25569. 1 indexed citations

Chen, Yu, Xin Zhang, Qing Ye, et al.. (2024). Machine learning-based prediction model for myocardial ischemia under high altitude exposure: a cohort study. Scientific Reports. 14(1). 686–686. 1 indexed citations

Zhang, Rui, et al.. (2024). Optimization Scheduling for Microgrid Clusters: A Robust Game Theory-Based Method with Shared Energy Storage. 1175–1180. 1 indexed citations

Chen, Yu, et al.. (2024). Integrating genomic profiling to clinical data: assessing the impact of CD147 expression on plaque stability. Frontiers in Cardiovascular Medicine. 11. 1425817–1425817.

Yang, Lixia, et al.. (2018). Long noncoding RNA MALAT1 promotes high glucose-induced human endothelial cells pyroptosis by affecting NLRP3 expression through competitively binding miR-22. Biochemical and Biophysical Research Communications. 509(2). 359–366. 106 indexed citations

Qin, Yanyan, Rui Zhou, Yanmin Yang, et al.. (2018). Uncertainty evaluation in clinical chemistry, immunoassay, hematology and coagulation analytes using only external quality assessment data. Clinical Chemistry and Laboratory Medicine (CCLM). 56(9). 1447–1457. 8 indexed citations

Liang, Xing, Ruiwei Guo, Yan-Kun Shi, et al.. (2017). Atorvastatin attenuates plaque vulnerability by downregulation of EMMPRIN expression via COX-2/PGE2 pathway. Experimental and Therapeutic Medicine. 13(3). 835–844. 18 indexed citations

10.

Yang, Lixia, et al.. (2017). Ox-LDL-Induced MicroRNA-155 Promotes Autophagy in Human Endothelial Cells via Repressing the Rheb/ mTOR Pathway. Cellular Physiology and Biochemistry. 43(4). 1436–1448. 24 indexed citations

11.

Zhu, Guofu, Lixia Yang, Ruiwei Guo, et al.. (2014). microRNA-155 is inversely associated with severity of coronary stenotic lesions calculated by the Gensini score. Coronary Artery Disease. 25(4). 304–310. 53 indexed citations

12.

Yang, Lixia, et al.. (2013). Role of Krüppel-Like Factor 2 and Protease-Activated Receptor-1 in Vulnerable Plaques of ApoE−/− Mice and Intervention With Statin. Canadian Journal of Cardiology. 29(8). 997–1005. 7 indexed citations

13.

Liu, Hong, Ruiwei Guo, Guofu Zhu, et al.. (2013). Functional blockage of EMMPRIN ameliorates atherosclerosis in apolipoprotein E-deficient mice. International Journal of Cardiology. 168(4). 3248–3253. 13 indexed citations

14.

Kuang, Chunyan, Yang Yu, Ruiwei Guo, et al.. (2010). Silencing stromal interaction molecule 1 by RNA interference inhibits the proliferation and migration of endothelial progenitor cells. Biochemical and Biophysical Research Communications. 398(2). 315–320. 44 indexed citations

15.

Shi, Yan-Kun, et al.. (2009). Relationships between Glu-298Asp polymorphism of eNOS gene and severity of coronary artery stenosis as well as coronary heart disease.. 19(4). 371–373. 1 indexed citations

16.

Yang, Lixia, Ruiwei Guo, Bei Liu, et al.. (2009). Role of TRPC1 and NF-κB in mediating angiotensin II-induced Ca2+ entry and endothelial hyperpermeability. Peptides. 30(7). 1368–1373. 14 indexed citations

17.

Wang, Hong, Yang Yu, Ruiwei Guo, et al.. (2009). Inhibitor of DNA binding-1 promotes the migration and proliferation of endothelial progenitor cells in vitro. Molecular and Cellular Biochemistry. 335(1-2). 19–27. 19 indexed citations

18.

Guo, Ruiwei, Hong Wang, Pan Gao, et al.. (2008). An essential role for stromal interaction molecule 1 in neointima formation following arterial injury. Cardiovascular Research. 81(4). 660–668. 75 indexed citations

19.

Yang, Lixia, et al.. (2008). [The role of activator protein-1 in unstable coronary atherosclerotic changes].. PubMed. 47(7). 545–7. 1 indexed citations

20.

Wang, Xianmei, Lixia Yang, Yongjian Yang, et al.. (2004). [Tumor necrosis factor alpha and myocardial matrix metalloproteinases in left ventricular remodeling].. PubMed. 43(11). 828–31. 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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