Shujun Yang

889 total citations
31 papers, 735 citations indexed

About

Shujun Yang is a scholar working on Molecular Biology, Immunology and Physiology. According to data from OpenAlex, Shujun Yang has authored 31 papers receiving a total of 735 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Immunology and 7 papers in Physiology. Recurrent topics in Shujun Yang's work include MicroRNA in disease regulation (6 papers), Telomeres, Telomerase, and Senescence (5 papers) and Circular RNAs in diseases (5 papers). Shujun Yang is often cited by papers focused on MicroRNA in disease regulation (6 papers), Telomeres, Telomerase, and Senescence (5 papers) and Circular RNAs in diseases (5 papers). Shujun Yang collaborates with scholars based in China and United States. Shujun Yang's co-authors include H A Nash, Alex B. Burgin, C A Robertson, Weili Zhang, Rutai Hui, Yu Chen, Xuenan Mi, Zhihui Hou, ‪Shuyuan Zhang and Rongxia Li and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Scientific Reports and Hypertension.

In The Last Decade

Shujun Yang

28 papers receiving 725 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shujun Yang China 13 540 144 141 79 59 31 735
José Manuel García-Castellano Spain 14 277 0.5× 106 0.7× 131 0.9× 61 0.8× 35 0.6× 26 684
Jennifer S. Searle United States 7 537 1.0× 112 0.8× 84 0.6× 96 1.2× 35 0.6× 8 765
Fengxiang Wei China 18 543 1.0× 192 1.3× 151 1.1× 49 0.6× 34 0.6× 49 823
Sumio Matzno Japan 14 286 0.5× 64 0.4× 70 0.5× 45 0.6× 33 0.6× 42 690
Chandran S. Abhinand India 9 292 0.5× 58 0.4× 86 0.6× 53 0.7× 21 0.4× 30 512
Yueping Sun China 12 330 0.6× 192 1.3× 101 0.7× 257 3.3× 15 0.3× 20 718
Toshiaki Kogame Japan 12 469 0.9× 169 1.2× 74 0.5× 51 0.6× 16 0.3× 31 621
Huiqiong He China 12 254 0.5× 45 0.3× 92 0.7× 141 1.8× 45 0.8× 16 519
Jian Pang China 15 341 0.6× 182 1.3× 194 1.4× 132 1.7× 36 0.6× 34 700
Chen Yao China 14 568 1.1× 94 0.7× 186 1.3× 105 1.3× 33 0.6× 23 800

Countries citing papers authored by Shujun Yang

Since Specialization
Citations

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

Fields of papers citing papers by Shujun Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shujun Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Shujun Yang. A scholar is included among the top collaborators of Shujun Yang 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 Shujun Yang. Shujun Yang 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.
Wang, Yue, Jing Chen, Xuan Wang, et al.. (2025). TRPM7 Deficiency Accelerates Vascular Senescence by Inhibiting H3K18 Lactylation. Aging Cell. 24(11). e70244–e70244.
2.
Gao, Ying & Shujun Yang. (2025). MiR-27b-3p ameliorates DOX-induced cardiotoxicity by suppressing myocardial inflammation and oxidative stress in mice and cardiomyocytes. Drug and Chemical Toxicology. 48(6). 1141–1155. 1 indexed citations
3.
4.
Yang, Shujun, et al.. (2024). Management Status of Myocarditis-Related Sudden Cardiac Death. Reviews in Cardiovascular Medicine. 25(12). 452–452. 2 indexed citations
5.
Chen, Yú, Jian Li, ‪Shuyuan Zhang, et al.. (2022). Genetic risk of hyperuricemia in hypertensive patients associated with antihypertensive drug therapy: A longitudinal study. Clinical Genetics. 101(4). 411–420. 5 indexed citations
6.
Yan, Xiao, Binbin Lai, Xuyan Zhou, et al.. (2022). The Differential Expression of CD47 may be Related to the Pathogenesis From Myelodysplastic Syndromes to Acute Myeloid Leukemia. Frontiers in Oncology. 12. 872999–872999. 13 indexed citations
7.
Xu, Jing, Juan Pan, Jiaqi Cui, et al.. (2021). PDX1 and MC4R genetic polymorphisms are associated with type 2 diabetes mellitus risk in the Chinese Han population. BMC Medical Genomics. 14(1). 249–249. 6 indexed citations
8.
9.
Wang, Feng‐Hua, Guanghai Dai, Yanhong Deng, et al.. (2021). Efficacy and safety of chemotherapy combined with bevacizumab in Chinese patients with metastatic colorectal cancer: A prospective, multicenter, observational, non-interventional phase IV trial. Chinese Journal of Cancer Research. 33(4). 490–499. 3 indexed citations
10.
Xu, Jing, Wei Zhang, Wei Song, et al.. (2021). Relationship Between KCNQ1 Polymorphism and Type 2 Diabetes Risk in Northwestern China. Pharmacogenomics and Personalized Medicine. Volume 14. 1731–1751. 2 indexed citations
11.
Zhang, ‪Shuyuan, Rongxia Li, Yu Chen, et al.. (2020). Longitudinal Association of Telomere Attrition with the Effects of Antihypertensive Treatment and Blood Pressure Lowering. Aging and Disease. 11(3). 494–494. 11 indexed citations
12.
Zhu, Changju, Yanna Liu, Yanyan Liu, et al.. (2020). Deletion of macrophage migration inhibitory factor ameliorates inflammation in mice model severe acute pancreatitis. Biomedicine & Pharmacotherapy. 125. 109919–109919. 14 indexed citations
13.
Yang, Shujun, Yu Chen, Xuenan Mi, et al.. (2020). MicroRNA-216a Promotes Endothelial Inflammation by Smad7/IκBα Pathway in Atherosclerosis. Disease Markers. 2020. 1–9. 9 indexed citations
14.
Xu, Jing, Jiaqi Cui, Wei Zhang, et al.. (2019). A Novel Polymorphism (rs35612982) in <b><i>CDKAL1</i></b> Is a Risk Factor of Type 2 Diabetes: A Case-Control Study. Kidney & Blood Pressure Research. 44(6). 1313–1326. 12 indexed citations
15.
Yang, Shujun, Xin Tu, Yibo Wang, et al.. (2019). Effect of gene–gene and gene–environment interaction on the risk of first‐ever stroke and poststroke death. Molecular Genetics & Genomic Medicine. 7(8). e846–e846. 8 indexed citations
16.
Li, Jing, Liang Li, Shujun Yang, et al.. (2018). The association of telomere attrition with first-onset stroke in Southern Chinese: a case-control study and meta-analysis. Scientific Reports. 8(1). 2290–2290. 12 indexed citations
17.
Yang, Shujun, Li J, Yu Chen, et al.. (2018). MicroRNA-216a promotes M1 macrophages polarization and atherosclerosis progression by activating telomerase via the Smad3/NF-κB pathway. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1865(7). 1772–1781. 41 indexed citations
18.
Liu, Fang & Shujun Yang. (2017). New Trends of Green Transportation Development in EU. JOURNAL OF ENGINEERING STUDIES. 9(2). 148–155. 1 indexed citations
19.
Zhang, Weili, Rutai Hui, & Shujun Yang. (2014). Telomeres, cardiovascular aging, and potential intervention for cellular senescence. Science China Life Sciences. 57(8). 858–862. 12 indexed citations
20.
Yang, Shujun, et al.. (1996). A eukaryotic enzyme that can disjoin dead-end covalent complexes between DNA and type I topoisomerases.. Proceedings of the National Academy of Sciences. 93(21). 11534–11539. 346 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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