Ming‐Yi Shen

2.4k total citations
80 papers, 2.0k citations indexed

About

Ming‐Yi Shen is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Surgery. According to data from OpenAlex, Ming‐Yi Shen has authored 80 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 23 papers in Cardiology and Cardiovascular Medicine and 14 papers in Surgery. Recurrent topics in Ming‐Yi Shen's work include Antiplatelet Therapy and Cardiovascular Diseases (13 papers), Antioxidant Activity and Oxidative Stress (8 papers) and Lipoproteins and Cardiovascular Health (7 papers). Ming‐Yi Shen is often cited by papers focused on Antiplatelet Therapy and Cardiovascular Diseases (13 papers), Antioxidant Activity and Oxidative Stress (8 papers) and Lipoproteins and Cardiovascular Health (7 papers). Ming‐Yi Shen collaborates with scholars based in Taiwan, United States and China. Ming‐Yi Shen's co-authors include Joen‐Rong Sheu, George Hsiao, Duen‐Suey Chou, Chien‐Huang Lin, Kuan‐Hung Lin, Joen R. Sheu, George Hsiao, An‐Sheng Lee, Duen S. Chou and Ching-Hua Su and has published in prestigious journals such as Circulation, Blood and The Journal of Immunology.

In The Last Decade

Ming‐Yi Shen

77 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ming‐Yi Shen Taiwan 26 537 289 263 253 238 80 2.0k
Thanasekaran Jayakumar Taiwan 27 884 1.6× 243 0.8× 134 0.5× 157 0.6× 472 2.0× 105 2.5k
Dhanapal Sakthisekaran India 23 883 1.6× 195 0.7× 203 0.8× 243 1.0× 238 1.0× 51 2.6k
Li Chu China 33 1.4k 2.6× 219 0.8× 236 0.9× 475 1.9× 218 0.9× 189 3.5k
Jean‐Louis Beaudeux France 28 883 1.6× 297 1.0× 347 1.3× 249 1.0× 100 0.4× 91 2.8k
Mehdi Nematbakhsh Iran 29 493 0.9× 155 0.5× 282 1.1× 451 1.8× 230 1.0× 172 2.9k
Yeo‐Pyo Yun South Korea 32 1.3k 2.4× 267 0.9× 156 0.6× 306 1.2× 394 1.7× 95 2.7k
Hany H. Arab Egypt 34 1.1k 2.0× 223 0.8× 304 1.2× 127 0.5× 302 1.3× 87 3.1k
Ebtehal El‐Demerdash Egypt 29 691 1.3× 136 0.5× 173 0.7× 266 1.1× 198 0.8× 82 2.3k
Nicola Maggiano Italy 32 1.1k 2.0× 286 1.0× 532 2.0× 252 1.0× 386 1.6× 81 3.1k
Junichiro Yamamoto Japan 29 527 1.0× 203 0.7× 395 1.5× 718 2.8× 294 1.2× 163 2.8k

Countries citing papers authored by Ming‐Yi Shen

Since Specialization
Citations

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

Fields of papers citing papers by Ming‐Yi Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming‐Yi Shen. 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 Ming‐Yi Shen. The network helps show where Ming‐Yi Shen may publish in the future.

Co-authorship network of co-authors of Ming‐Yi Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Ming‐Yi Shen. A scholar is included among the top collaborators of Ming‐Yi Shen 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 Ming‐Yi Shen. Ming‐Yi Shen 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.
Li, Zirui, Xu Chen, Yi Zhou, et al.. (2025). NAMPT Impairs Vascular Permeability in Periodontitis by Influencing FASN-mediated Lipogenesis. International Journal of Biological Sciences. 21(6). 2707–2724.
4.
Hsia, Chih‐Wei, et al.. (2020). Regulation of Human Platelet Activation and Prevention of Arterial Thrombosis in Mice by Auraptene through Inhibition of NF-κB Pathway. International Journal of Molecular Sciences. 21(13). 4810–4810. 9 indexed citations
5.
Shen, Ming‐Yi, Chieh-Lun Hsiao, Liang-Chun Shih, et al.. (2017). The Association of Flap Endonuclease 1 Genotypes with the Susceptibility of Endometriosis. Cancer Genomics & Proteomics. 14(6). 455–460. 4 indexed citations
6.
Wang, Guei‐Jane, Chin‐Chi Kuo, Ju‐Yi Hsieh, et al.. (2016). Electronegative Low-density Lipoprotein Increases Coronary Artery Disease Risk in Uremia Patients on Maintenance Hemodialysis. Medicine. 95(2). e2265–e2265. 14 indexed citations
7.
Qin, Xue, Juanjuan Xu, Ziyan Wu, et al.. (2016). Association study of rs924080 and rs11209032 polymorphisms of IL23R-IL12RB2 in a Northern Chinese Han population with Behcet’s disease. Human Immunology. 77(12). 1284–1290. 7 indexed citations
8.
Wang, Chun‐Cheng, Yao-Chang Wang, Guei‐Jane Wang, et al.. (2016). Skin Autofluorescence Is Associated with Endothelial Dysfunction in Uremic Subjects on Hemodialysis. PLoS ONE. 11(1). e0147771–e0147771. 20 indexed citations
9.
Shen, Ming‐Yi, Jing‐Fang Hsu, Ru‐Huei Fu, et al.. (2015). Plasma L5 levels are elevated in ischemic stroke patients and enhance platelet aggregation. Blood. 127(10). 1336–1345. 70 indexed citations
10.
Chan, Hua‐Chen, Liang‐Yin Ke, An‐Sheng Lee, et al.. (2012). Abstract 9753: Highly Electronegative LDL is Elevated in Patients With Acute Myocardial Infarction and Triggers Platelet Activation and Aggregation. Circulation. 126(suppl_21). 1 indexed citations
12.
Yang, Wen‐Chin, et al.. (2012). Catenarin, an anthraquinone compound, inhibits CXCR4 and CCR5 pathways to protect against type 1 diabetes in NOD mice (72.1). The Journal of Immunology. 188(1_Supplement). 72.1–72.1. 1 indexed citations
13.
Shen, Ming‐Yi, George Hsiao, Duen S. Chou, et al.. (2008). Amyloid beta peptide-activated signal pathways in human platelets. European Journal of Pharmacology. 588(2-3). 259–266. 42 indexed citations
14.
Shen, Ming‐Yi, et al.. (2008). Involvement of p38 MAPK Phosphorylation and Nitrate Formation in Aristolochic Acid-Mediated Antiplatelet Activity. Planta Medica. 74(10). 1240–1245. 11 indexed citations
15.
Hsiao, George, Jie-Jen Lee, Yi-Cheng Chen, et al.. (2006). Neuroprotective effects of PMC, a potent α-tocopherol derivative, in brain ischemia-reperfusion: Reduced neutrophil activation and anti-oxidant actions. Biochemical Pharmacology. 73(5). 682–693. 30 indexed citations
16.
Hsiao, George, Ming‐Yi Shen, Duen‐Suey Chou, et al.. (2004). Involvement of the antiplatelet activity of magnesium sulfate in suppression of protein kinase C and the Na+/H+ exchanger. Journal of Biomedical Science. 11(1). 19–26. 11 indexed citations
17.
Sheu, Joen R., et al.. (2004). Expression of matrix metalloproteinase‐9 in human platelets: regulation of platelet activation in in vitro and in vivo studies. British Journal of Pharmacology. 143(1). 193–201. 73 indexed citations
18.
Hsiao, George, Hsin‐Yi Huang, Tsorng-Harn Fong, et al.. (2004). Inhibitory mechanisms of YC-1 and PMC in the induction of iNOS expression by lipoteichoic acid in RAW 264.7 macrophages. Biochemical Pharmacology. 67(7). 1411–1419. 32 indexed citations
19.
Hsiao, George, Ming‐Yi Shen, Wen‐Chiung Chang, et al.. (2003). A novel antioxidant, octyl caffeate, suppression of LPS/IFN-γ-induced inducible nitric oxide synthase gene expression in rat aortic smooth muscle cells. Biochemical Pharmacology. 65(8). 1383–1392. 22 indexed citations
20.
Sheu, Joen‐Rong, et al.. (2002). The hyperaggregability of platelets from normal pregnancy is mediated through thromboxane A2 and cyclic AMP pathways. Clinical & Laboratory Haematology. 24(2). 121–129. 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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