Liang‐Yi Si

837 total citations
29 papers, 661 citations indexed

About

Liang‐Yi Si is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Nephrology. According to data from OpenAlex, Liang‐Yi Si has authored 29 papers receiving a total of 661 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Cardiology and Cardiovascular Medicine and 5 papers in Nephrology. Recurrent topics in Liang‐Yi Si's work include Parathyroid Disorders and Treatments (3 papers), Calcium signaling and nucleotide metabolism (3 papers) and Antiplatelet Therapy and Cardiovascular Diseases (3 papers). Liang‐Yi Si is often cited by papers focused on Parathyroid Disorders and Treatments (3 papers), Calcium signaling and nucleotide metabolism (3 papers) and Antiplatelet Therapy and Cardiovascular Diseases (3 papers). Liang‐Yi Si collaborates with scholars based in China and United States. Liang‐Yi Si's co-authors include Qiang Xu, Wang Zhang, Qiang Xu, Qihong Yang, Hang Xiao, Xuejun Li, Qiao‐Ying Yuan, Fan Yang, Jun Long and Gang Tang and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Biochemical and Biophysical Research Communications.

In The Last Decade

Liang‐Yi Si

27 papers receiving 648 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Liang‐Yi Si China 15 178 170 99 87 77 29 661
Marjut Louhelainen Finland 15 307 1.7× 135 0.8× 203 2.1× 55 0.6× 63 0.8× 20 698
Ayliz Velioğlu‐Öğünç Türkiye 12 169 0.9× 117 0.7× 87 0.9× 89 1.0× 57 0.7× 16 632
Saara Merasto Finland 15 257 1.4× 151 0.9× 230 2.3× 49 0.6× 73 0.9× 21 647
Weijing Liu China 14 279 1.6× 127 0.7× 118 1.2× 38 0.4× 170 2.2× 41 703
Qingjie Chen China 16 319 1.8× 146 0.9× 163 1.6× 87 1.0× 158 2.1× 53 954
Yaoyuan Zhang China 12 444 2.5× 154 0.9× 113 1.1× 73 0.8× 153 2.0× 19 889
Yibing Lu China 16 306 1.7× 119 0.7× 53 0.5× 69 0.8× 175 2.3× 34 756
Qianhui Shang China 12 172 1.0× 160 0.9× 101 1.0× 36 0.4× 85 1.1× 30 606
Nina Z. Bispham United States 6 243 1.4× 187 1.1× 151 1.5× 52 0.6× 70 0.9× 9 674
Lin Xiao China 15 166 0.9× 140 0.8× 52 0.5× 75 0.9× 104 1.4× 41 636

Countries citing papers authored by Liang‐Yi Si

Since Specialization
Citations

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

Fields of papers citing papers by Liang‐Yi Si

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liang‐Yi Si

This figure shows the co-authorship network connecting the top 25 collaborators of Liang‐Yi Si. A scholar is included among the top collaborators of Liang‐Yi Si 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 Liang‐Yi Si. Liang‐Yi Si 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.
2.
Tang, Gang, et al.. (2018). Klotho attenuates isoproterenol-induced hypertrophic response in H9C2 cells by activating Na+/K+-ATPase and inhibiting the reverse mode of Na+/Ca2+-exchanger. In Vitro Cellular & Developmental Biology - Animal. 54(3). 250–256. 10 indexed citations
3.
Shen, Yi, et al.. (2018). Activation of adenosine A2b receptor attenuates high glucose-induced apoptosis in H9C2 cells via PI3K/Akt signaling. In Vitro Cellular & Developmental Biology - Animal. 54(5). 384–391. 8 indexed citations
4.
Song, Shuang & Liang‐Yi Si. (2015). Klotho ameliorated isoproterenol-induced pathological changes in cardiomyocytes via the regulation of oxidative stress. Life Sciences. 135. 118–123. 23 indexed citations
5.
Yuan, Qiao‐Ying, Ling Zhang, Dan Xiao, et al.. (2014). An Accurate, Flexible and Small Optical Fiber Sensor: A Novel Technological Breakthrough for Real-Time Analysis of Dynamic Blood Flow Data In Vivo. PLoS ONE. 9(12). e114794–e114794. 6 indexed citations
6.
Tang, Gang, Duan Wang, Jun Long, Fan Yang, & Liang‐Yi Si. (2014). Meta-Analysis of the Association Between Whole Grain Intake and Coronary Heart Disease Risk. The American Journal of Cardiology. 115(5). 625–629. 66 indexed citations
7.
Xiao, Hang, Hai‐Ying Shen, Wei Liu, et al.. (2013). Adenosine A2A Receptor: A Target for Regulating Renal Interstitial Fibrosis in Obstructive Nephropathy. PLoS ONE. 8(4). e60173–e60173. 32 indexed citations
8.
Wang, Zhang & Liang‐Yi Si. (2013). Hypoxia-inducible factor-1α and vascular endothelial growth factor in the cardioprotective effects of intermittent hypoxia in rats. Upsala Journal of Medical Sciences. 118(2). 65–74. 22 indexed citations
9.
Yang, Qihong, Yong Liang, Liang‐Yi Si, et al.. (2013). Antigen-specific Immunotherapy Regulates B Cell Activities in the Intestine. Journal of Biological Chemistry. 288(23). 16383–16390. 2 indexed citations
10.
Yuan, Qiao‐Ying, Jing Huang, Xuejun Li, Xingsheng Li, & Liang‐Yi Si. (2013). Transendocardial Delivery of HGF Via Microbubbles and Ultrasound to Treat Acute Myocardial Infarction. Current Gene Therapy. 13(1). 31–38. 3 indexed citations
11.
Xu, Qiang, et al.. (2012). Efficacy and safety of early versus late glycoprotein IIb/IIIa inhibitors for PCI. International Journal of Cardiology. 162(3). 210–219. 17 indexed citations
12.
Gao, Pan, Xiaomei Wang, Qiang Xu, et al.. (2012). Induction of oxidative stress by oxidized LDL via meprinα-activated epidermal growth factor receptor in macrophages. Cardiovascular Research. 97(3). 533–543. 37 indexed citations
13.
Zhang, Wang & Liang‐Yi Si. (2012). Obstructive sleep apnea syndrome (OSAS) and hypertension: Pathogenic mechanisms and possible therapeutic approaches. Upsala Journal of Medical Sciences. 117(4). 370–382. 72 indexed citations
14.
Xiao, Hang, Liang‐Yi Si, Wei Liu, et al.. (2012). The effects of adenosine A2A receptor knockout on renal interstitial fibrosis in a mouse model of unilateral ureteral obstruction. Acta Histochemica. 115(4). 315–319. 14 indexed citations
15.
Li, Xuejun, Qi Li, Liang‐Yi Si, & Qiao‐Ying Yuan. (2011). Bacteriological Differences Between COPD Exacerbation and Community-Acquired Pneumonia. Respiratory Care. 56(11). 1818–1824. 30 indexed citations
16.
17.
Xu, Qiang & Liang‐Yi Si. (2010). Protective effects of AMP‐activated protein kinase in the cardiovascular system. Journal of Cellular and Molecular Medicine. 14(11). 2604–2613. 56 indexed citations
18.
Xu, Qiang, Xinzhong Hao, Qihong Yang, & Liang‐Yi Si. (2009). Resveratrol prevents hyperglycemia-induced endothelial dysfunction via activation of adenosine monophosphate-activated protein kinase. Biochemical and Biophysical Research Communications. 388(2). 389–394. 44 indexed citations
19.
20.
Xu, Qiang, Zhang Wang, Yihua Zhang, et al.. (2009). A potential regulatory single nucleotide polymorphism in the promoter of the Klotho gene may be associated with essential hypertension in the Chinese Han population. Clinica Chimica Acta. 411(5-6). 386–390. 44 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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