Shiyong Yu

1.0k total citations
33 papers, 840 citations indexed

About

Shiyong Yu is a scholar working on Molecular Biology, Immunology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Shiyong Yu has authored 33 papers receiving a total of 840 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 9 papers in Immunology and 7 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Shiyong Yu's work include Angiogenesis and VEGF in Cancer (8 papers), Atherosclerosis and Cardiovascular Diseases (6 papers) and Cell Adhesion Molecules Research (5 papers). Shiyong Yu is often cited by papers focused on Angiogenesis and VEGF in Cancer (8 papers), Atherosclerosis and Cardiovascular Diseases (6 papers) and Cell Adhesion Molecules Research (5 papers). Shiyong Yu collaborates with scholars based in China, United States and Austria. Shiyong Yu's co-authors include Lan Huang, Anil Nanda, D. Neil Granger, Guohong Li, Rong Jin, Jianfei Chen, Zifang Song, Pan Gao, Yang Yu and Susan S. Smyth and has published in prestigious journals such as PLoS ONE, Stroke and Biochemical and Biophysical Research Communications.

In The Last Decade

Shiyong Yu

30 papers receiving 832 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shiyong Yu China 16 357 177 148 137 102 33 840
Rosa Aledo Spain 20 507 1.4× 103 0.6× 94 0.6× 166 1.2× 130 1.3× 36 882
Souska Zandi Switzerland 23 440 1.2× 118 0.7× 67 0.5× 53 0.4× 105 1.0× 59 1.4k
John C. Igwe United States 7 407 1.1× 177 1.0× 126 0.9× 54 0.4× 95 0.9× 8 925
Janka Kisucka United States 11 281 0.8× 244 1.4× 101 0.7× 85 0.6× 130 1.3× 13 1.1k
Jianhui Zhuang China 19 421 1.2× 189 1.1× 203 1.4× 156 1.1× 93 0.9× 41 952
Xinchun Pi United States 15 575 1.6× 195 1.1× 220 1.5× 132 1.0× 91 0.9× 20 1.1k
Akiko Ishii Japan 24 738 2.1× 89 0.5× 222 1.5× 62 0.5× 125 1.2× 75 1.6k
Zhaoqiang Cui China 14 615 1.7× 195 1.1× 206 1.4× 96 0.7× 187 1.8× 26 1.2k
Shigeyoshi Oba Japan 20 422 1.2× 115 0.6× 147 1.0× 173 1.3× 184 1.8× 32 934
Robert Mott United States 11 519 1.5× 88 0.5× 56 0.4× 84 0.6× 57 0.6× 14 1.0k

Countries citing papers authored by Shiyong Yu

Since Specialization
Citations

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

Fields of papers citing papers by Shiyong Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shiyong Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Shiyong Yu. A scholar is included among the top collaborators of Shiyong Yu 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 Shiyong Yu. Shiyong Yu 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.
Zhuang, Qi, Lihua Guan, Weiping Xie, et al.. (2025). Chest Computed Tomography–Based Radiomics for the Diagnosis and Prognosis of Pulmonary Hypertension. Journal of the American Heart Association. 14(24). e043221–e043221.
3.
Sun, Mengjia, et al.. (2023). Smartwatch-Based Maximum Oxygen Consumption Measurement for Predicting Acute Mountain Sickness: Diagnostic Accuracy Evaluation Study. JMIR mhealth and uhealth. 11. e43340–e43340. 5 indexed citations
5.
Liu, Chuan, Jihang Zhang, Xubin Gao, et al.. (2019). Association Between Single Nucleotide Polymorphisms in PPARA and EPAS1 Genes and High-Altitude Appetite Loss in Chinese Young Men. Frontiers in Physiology. 10. 59–59. 14 indexed citations
6.
Jin, Rong, et al.. (2017). Platelet CD40 Mediates Leukocyte Recruitment and Neointima Formation after Arterial Denudation Injury in Atherosclerosis-Prone Mice. American Journal Of Pathology. 188(1). 252–263. 9 indexed citations
7.
H, Tan, Yaoming Song, Jun Jin, et al.. (2016). vwF A3-GPI modification of EPCs accelerates reendothelialization of injured vessels via collagen targeting in mice. Journal of drug targeting. 24(8). 744–751. 4 indexed citations
10.
Song, Zifang, Rong Jin, Shiyong Yu, et al.. (2011). CD40 Is Essential in the Upregulation of TRAF Proteins and NF-KappaB-Dependent Proinflammatory Gene Expression after Arterial Injury. PLoS ONE. 6(8). e23239–e23239. 39 indexed citations
11.
Song, Zifang, Rong Jin, Shiyong Yu, et al.. (2011). Crucial Role of CD40 Signaling in Vascular Wall Cells in Neointimal Formation and Vascular Remodeling After Vascular Interventions. Arteriosclerosis Thrombosis and Vascular Biology. 32(1). 50–64. 40 indexed citations
12.
Jin, Rong, Shiyong Yu, Zifang Song, et al.. (2010). Phosphoinositide 3-kinase-gamma expression is upregulated in brain microglia and contributes to ischemia-induced microglial activation in acute experimental stroke. Biochemical and Biophysical Research Communications. 399(3). 458–464. 28 indexed citations
13.
Yu, Yang, Jun Qin, Chunyan Kuang, et al.. (2010). CCN1 promotes the differentiation of endothelial progenitor cells and reendothelialization in the early phase after vascular injury. Basic Research in Cardiology. 105(6). 713–724. 39 indexed citations
14.
Dong, Hongmei, Jian Zhao, Xiaojing Wu, et al.. (2009). Responsiveness to aspirin in patients with unstable angina pectoris by whole blood aggregometry. International Journal of Clinical Practice. 63(3). 407–416.
15.
Chen, Jianfei, Shiyong Yu, Pan Gao, et al.. (2009). Advanced glycation endproducts alter functions and promote apoptosis in endothelial progenitor cells through receptor for advanced glycation endproducts mediate overpression of cell oxidant stress. Molecular and Cellular Biochemistry. 335(1-2). 137–146. 87 indexed citations
16.
Chen, Jianfei, et al.. (2009). C-reactive Protein Upregulates Receptor for Advanced Glycation End Products Expression and Alters Antioxidant Defenses in Rat Endothelial Progenitor Cells. Journal of Cardiovascular Pharmacology. 53(5). 359–367. 36 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.
Yu, Shiyong, Yaoming Song, Aimin Li, et al.. (2009). Isolation and Characterization of Human Coronary Artery-Derived Endothelial Cells in vivo from Patients Undergoing Percutaneous Coronary Interventions. Journal of Vascular Research. 46(5). 487–494. 15 indexed citations
19.
Yu, Shiyong, Yaoming Song, Aimin Li, et al.. (2008). [Identification of human coronary artery endothelial cells obtained by coronary endovascular biopsy].. PubMed. 36(3). 240–2. 1 indexed citations
20.
Yin, Yangguang, Lan Huang, Xiaohui Zhao, et al.. (2007). AMD3100 Mobilizes Endothelial Progenitor Cells in Mice, But Inhibits Its Biological Functions by Blocking an Autocrine/Paracrine Regulatory Loop of Stromal Cell Derived Factor-1 In Vitro. Journal of Cardiovascular Pharmacology. 50(1). 61–67. 43 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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