Shiju Ye

591 total citations
12 papers, 452 citations indexed

About

Shiju Ye is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Immunology. According to data from OpenAlex, Shiju Ye has authored 12 papers receiving a total of 452 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cardiology and Cardiovascular Medicine, 4 papers in Molecular Biology and 4 papers in Immunology. Recurrent topics in Shiju Ye's work include Cardiac Fibrosis and Remodeling (5 papers), Cardiovascular Function and Risk Factors (3 papers) and interferon and immune responses (2 papers). Shiju Ye is often cited by papers focused on Cardiac Fibrosis and Remodeling (5 papers), Cardiovascular Function and Risk Factors (3 papers) and interferon and immune responses (2 papers). Shiju Ye collaborates with scholars based in China. Shiju Ye's co-authors include Weijian Huang, Guang Liang, Peiren Shan, Wu Luo, Taiwei Chen, Ke Lin, Jingying Wang, Gaojun Wu, Xiang Hu and Zia A. Khan and has published in prestigious journals such as Circulation Research, Hypertension and European Heart Journal.

In The Last Decade

Shiju Ye

11 papers receiving 449 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shiju Ye China 10 229 136 70 69 49 12 452
Defeng Pan China 12 249 1.1× 124 0.9× 72 1.0× 85 1.2× 32 0.7× 40 558
Er‐shun Liang China 15 254 1.1× 124 0.9× 77 1.1× 63 0.9× 62 1.3× 21 540
Tao-Hua Lan China 11 210 0.9× 109 0.8× 55 0.8× 73 1.1× 24 0.5× 24 445
Pei Zhao China 16 315 1.4× 145 1.1× 62 0.9× 92 1.3× 27 0.6× 38 594
Zhou-Yan Bian China 8 224 1.0× 174 1.3× 66 0.9× 27 0.4× 35 0.7× 8 430
Ya‐Ge Jin China 15 306 1.3× 176 1.3× 57 0.8× 32 0.5× 46 0.9× 18 613
Meizhu Wu China 13 268 1.2× 81 0.6× 39 0.6× 32 0.5× 42 0.9× 43 452
Jia Dai China 16 346 1.5× 235 1.7× 79 1.1× 70 1.0× 68 1.4× 20 703

Countries citing papers authored by Shiju Ye

Since Specialization
Citations

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

Fields of papers citing papers by Shiju Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shiju Ye

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

All Works

12 of 12 papers shown
2.
Han, Xue, Qiaojuan Shi, Jiajia Zhang, et al.. (2025). Cardiomyocyte PRL2 Promotes Cardiac Hypertrophy via Directly Dephosphorylating AMPKα2. Circulation Research. 136(7). 645–663. 2 indexed citations
3.
Ye, Shiju, Xue Han, Wu Luo, et al.. (2023). Dectin-1 Acts as a Non-Classical Receptor of Ang II to Induce Cardiac Remodeling. Circulation Research. 132(6). 707–722. 27 indexed citations
4.
Han, Xue, Xiang Hu, Shiju Ye, et al.. (2023). OTUD1 promotes hypertensive kidney fibrosis and injury by deubiquitinating CDK9 in renal epithelial cells. Acta Pharmacologica Sinica. 45(4). 765–776. 9 indexed citations
5.
Ye, Shiju, He Huang, Xiao Yun, et al.. (2023). Macrophage Dectin-1 mediates Ang II renal injury through neutrophil migration and TGF-β1 secretion. Cellular and Molecular Life Sciences. 80(7). 184–184. 12 indexed citations
6.
Sun, Jinfeng, Xiong Li, Liwei Li, et al.. (2023). β-amyloid binds to microglia Dectin-1 to induce inflammatory response in the pathogenesis of Alzheimer's disease. International Journal of Biological Sciences. 19(10). 3249–3265. 29 indexed citations
7.
Lin, Ke, Na Yang, Wu Luo, et al.. (2022). Direct cardio-protection of Dapagliflozin against obesity-related cardiomyopathy via NHE1/MAPK signaling. Acta Pharmacologica Sinica. 43(10). 2624–2635. 49 indexed citations
8.
Ye, Shiju, Ke Lin, Gaojun Wu, et al.. (2021). Toll-like receptor 2 signaling deficiency in cardiac cells ameliorates Ang II-induced cardiac inflammation and remodeling. Translational research. 233. 62–76. 14 indexed citations
9.
Ye, Shiju, Lan Su, Peiren Shan, et al.. (2021). LCZ696 Attenuated Doxorubicin-Induced Chronic Cardiomyopathy Through the TLR2-MyD88 Complex Formation. Frontiers in Cell and Developmental Biology. 9. 654051–654051. 26 indexed citations
10.
Ye, Shiju, Wu Luo, Zia A. Khan, et al.. (2020). Celastrol Attenuates Angiotensin II–Induced Cardiac Remodeling by Targeting STAT3. Circulation Research. 126(8). 1007–1023. 194 indexed citations
11.
You, Shengban, Jianchang Qian, Chuchu Sun, et al.. (2018). An Aza resveratrol–chalcone derivative 6b protects mice against diabetic cardiomyopathy by alleviating inflammation and oxidative stress. Journal of Cellular and Molecular Medicine. 22(3). 1931–1943. 37 indexed citations
12.
Han, Jibo, Shiju Ye, Chunpeng Zou, et al.. (2018). Angiotensin II Causes Biphasic STAT3 Activation Through TLR4 to Initiate Cardiac Remodeling. Hypertension. 72(6). 1301–1311. 53 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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