Zhen Sun

1.1k total citations
41 papers, 812 citations indexed

About

Zhen Sun is a scholar working on Immunology, Molecular Biology and Nephrology. According to data from OpenAlex, Zhen Sun has authored 41 papers receiving a total of 812 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Immunology, 12 papers in Molecular Biology and 9 papers in Nephrology. Recurrent topics in Zhen Sun's work include Parathyroid Disorders and Treatments (8 papers), Advanced Glycation End Products research (8 papers) and Atherosclerosis and Cardiovascular Diseases (7 papers). Zhen Sun is often cited by papers focused on Parathyroid Disorders and Treatments (8 papers), Advanced Glycation End Products research (8 papers) and Atherosclerosis and Cardiovascular Diseases (7 papers). Zhen Sun collaborates with scholars based in China, United States and Madagascar. Zhen Sun's co-authors include Zhongqun Wang, Lihua Li, Lili Zhang, Chen Shao, Jinchuan Yan, Zhengyang Bao, Guangyao Zang, Xinyi Shen, Yunyun Zhao and Yaoyao Cai and has published in prestigious journals such as Hepatology, Life Sciences and American Journal of Physiology-Heart and Circulatory Physiology.

In The Last Decade

Zhen Sun

40 papers receiving 806 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Zhen Sun 319 184 170 119 112 41 812
Lihua Li 306 1.0× 153 0.8× 104 0.6× 95 0.8× 99 0.9× 42 717
Misaki Iwashita 398 1.2× 136 0.7× 251 1.5× 184 1.5× 141 1.3× 37 861
Hilda Vargas‐Robles 281 0.9× 122 0.7× 117 0.7× 124 1.0× 114 1.0× 42 821
Qian Ge 276 0.9× 192 1.0× 148 0.9× 168 1.4× 69 0.6× 59 878
Yuelan Ren 240 0.8× 206 1.1× 310 1.8× 201 1.7× 69 0.6× 8 797
Xiaogang Du 245 0.8× 122 0.7× 203 1.2× 88 0.7× 69 0.6× 44 791
Khaled Khazim 312 1.0× 195 1.1× 75 0.4× 144 1.2× 106 0.9× 16 878
Jiaqing Shao 250 0.8× 97 0.5× 118 0.7× 124 1.0× 261 2.3× 60 804
Miao Yang 210 0.7× 128 0.7× 162 1.0× 159 1.3× 71 0.6× 44 768

Countries citing papers authored by Zhen Sun

Since Specialization
Citations

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

Fields of papers citing papers by Zhen Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhen Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Zhen Sun. A scholar is included among the top collaborators of Zhen Sun 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 Zhen Sun. Zhen Sun 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.
Zhang, Lili, et al.. (2024). FSCN1 is a Potential Therapeutic Target for Atherosclerosis Revealed by Single-Cell and Bulk RNA Sequencing. Journal of Inflammation Research. Volume 17. 9683–9696.
2.
Li, Lihua, Zhen Sun, Lili Zhang, et al.. (2024). Spatial multiomics atlas reveals smooth muscle phenotypic transformation and metabolic reprogramming in diabetic macroangiopathy. Cardiovascular Diabetology. 23(1). 358–358. 8 indexed citations
3.
Sun, Zhen, Lili Zhang, Guangyao Zang, et al.. (2023). SIRT3-and FAK-mediated acetylation-phosphorylation crosstalk of NFATc1 regulates Nε-carboxymethyl-lysine-induced vascular calcification in diabetes mellitus. Atherosclerosis. 377. 43–59. 8 indexed citations
4.
Wang, Zhongqun & Zhen Sun. (2022). Dietary Nε-(carboxymethyl) lysine affects cardiac glucose metabolism and myocardial remodeling in mice. World Journal of Diabetes. 13(11). 972–985. 4 indexed citations
5.
Jiang, Han, Lihua Li, Lili Zhang, et al.. (2022). Role of endothelial cells in vascular calcification. Frontiers in Cardiovascular Medicine. 9. 895005–895005. 23 indexed citations
6.
Zhang, Lili, et al.. (2022). Nε-Carboxymethyl-Lysine Mediates Vascular Calcification in Diabetes Caused by Impaired Osteoclastic Resorption Activity Through NFATc1-GNPTAB. Journal of Cardiovascular Translational Research. 16(1). 233–243. 2 indexed citations
7.
Li, Lihua, et al.. (2021). A multi-omics view of the complex mechanism of vascular calcification. Biomedicine & Pharmacotherapy. 135. 111192–111192. 17 indexed citations
8.
Zhao, Yunyun, Zhen Sun, Xinyi Shen, et al.. (2021). Role of PI3K in the Progression and Regression of Atherosclerosis. Frontiers in Pharmacology. 12. 632378–632378. 62 indexed citations
9.
Meng, Ling‐bing, et al.. (2021). Differentially Expressed Genes and Enriched Signaling Pathways in the Adipose Tissue of Obese People. Frontiers in Genetics. 12. 620740–620740. 11 indexed citations
10.
Cai, Yaoyao, Zhen Sun, Ying Wang, et al.. (2021). Role of NFAT in the Progression of Diabetic Atherosclerosis. Frontiers in Cardiovascular Medicine. 8. 635172–635172. 20 indexed citations
11.
Li, Yalan, Zhen Sun, Lili Zhang, et al.. (2020). Role of Macrophages in the Progression and Regression of Vascular Calcification. Frontiers in Pharmacology. 11. 661–661. 48 indexed citations
12.
Bao, Zhengyang, Lili Zhang, Lihua Li, et al.. (2020). N ε ‐Carboxymethyl‐Lysine Negatively Regulates Foam Cell Migration via the Vav1/Rac1 Pathway. Journal of Immunology Research. 2020(1). 1906204–1906204. 5 indexed citations
13.
Li, Lihua, Xiaomei Ren, Zhen Sun, et al.. (2020). <p>Role of Sortilin and Matrix Vesicles in Nϵ-Carboxymethyl-Lysine-Induced Diabetic Atherosclerotic Calcification</p>. Diabetes Metabolic Syndrome and Obesity. Volume 13. 4141–4151. 11 indexed citations
14.
Zhou, Xin, Wei Qin, Jie Zhu, et al.. (2020). Nϵ-Carboxymethyl-Lysine Deteriorates Vascular Calcification in Diabetic Atherosclerosis Induced by Vascular Smooth Muscle Cell-Derived Foam Cells. Frontiers in Pharmacology. 11. 626–626. 11 indexed citations
15.
Sun, Zhen, Zhongqun Wang, Lihua Li, et al.. (2019). RAGE/galectin-3 yields intraplaque calcification transformation via sortilin. Acta Diabetologica. 56(4). 457–472. 27 indexed citations
16.
Wang, Zhongqun, Zhengyang Bao, Jinchuan Yan, et al.. (2019). Nε-carboxymethyl-lysine-induced PI3K/Akt signaling inhibition promotes foam cell apoptosis and atherosclerosis progression. Biomedicine & Pharmacotherapy. 115. 108880–108880. 27 indexed citations
17.
Wang, Zhongqun, Jinchuan Yan, Zhen Sun, et al.. (2018). Role of AGEs in the progression and regression of atherosclerotic plaques. Glycoconjugate Journal. 35(5). 443–450. 39 indexed citations
18.
Li, Lihua, Jinchuan Yan, Fei Ye, et al.. (2017). CML/CD36 accelerates atherosclerotic progression via inhibiting foam cell migration. Biomedicine & Pharmacotherapy. 97. 1020–1031. 23 indexed citations
19.
Ye, Fei, Lihua Li, Jinchuan Yan, et al.. (2017). Ghrelin attenuates vascular calcification in diabetic patients with amputation. Biomedicine & Pharmacotherapy. 91. 1053–1064. 12 indexed citations
20.
Sun, Zhen, et al.. (2006). Multiplex locked nucleic acid probes for analysis of hepatitis B virus mutants using real-time PCR. Genomics. 89(1). 151–159. 11 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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