Shun Xu

621 total citations
25 papers, 474 citations indexed

About

Shun Xu is a scholar working on Molecular Biology, Cancer Research and Physiology. According to data from OpenAlex, Shun Xu has authored 25 papers receiving a total of 474 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 11 papers in Cancer Research and 5 papers in Physiology. Recurrent topics in Shun Xu's work include MicroRNA in disease regulation (8 papers), Circular RNAs in diseases (7 papers) and Cancer-related molecular mechanisms research (7 papers). Shun Xu is often cited by papers focused on MicroRNA in disease regulation (8 papers), Circular RNAs in diseases (7 papers) and Cancer-related molecular mechanisms research (7 papers). Shun Xu collaborates with scholars based in China, United States and Taiwan. Shun Xu's co-authors include Xinguang Liu, Xing‐dong Xiong, Meng‐yun Cai, Huiling Zheng, Xinlei Xia, Ping Zhou, Jie Cheng, Fan Zhang, Xiuling Zhi and Jianyuan Jiang and has published in prestigious journals such as PLoS ONE, Biochemical and Biophysical Research Communications and BioMed Research International.

In The Last Decade

Shun Xu

25 papers receiving 470 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shun Xu China 11 297 173 95 77 48 25 474
Lingling Yao China 8 312 1.1× 131 0.8× 48 0.5× 36 0.5× 47 1.0× 20 530
Valerie P. Tan United States 8 361 1.2× 125 0.7× 43 0.5× 41 0.5× 28 0.6× 17 513
Marina Koroleva United States 12 301 1.0× 93 0.5× 83 0.9× 94 1.2× 23 0.5× 15 560
Valerie P. Tan‐Sah United States 4 349 1.2× 169 1.0× 47 0.5× 48 0.6× 31 0.6× 4 494
Hui-Hsin Wang Taiwan 8 209 0.7× 101 0.6× 43 0.5× 83 1.1× 35 0.7× 10 437
Harika Sabbineni United States 12 344 1.2× 94 0.5× 36 0.4× 66 0.9× 78 1.6× 16 535

Countries citing papers authored by Shun Xu

Since Specialization
Citations

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

Fields of papers citing papers by Shun Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shun Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Shun Xu. A scholar is included among the top collaborators of Shun Xu 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 Shun Xu. Shun Xu 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.
Ye, Liwen, et al.. (2025). M6A Demethylase ALKBH5 in Human Diseases: From Structure to Mechanisms. Biomolecules. 15(2). 157–157. 4 indexed citations
2.
Zhang, Jie, Yan Shi, Jiaqiang Wang, et al.. (2025). Mechanisms of Huhuang decoction in treating diabetic wounds: a network pharmacological and experimental study. International Journal of Medical Sciences. 22(8). 1811–1824. 2 indexed citations
3.
Li, Yuting, et al.. (2023). The Epigenetic Regulation of RNA N6-Methyladenosine Methylation in Glycolipid Metabolism. Biomolecules. 13(2). 273–273. 9 indexed citations
4.
Chen, Wei‐Chun, Jie Ruan, Fan Deng, et al.. (2023). Vemurafenib induces a noncanonical senescence-associated secretory phenotype in melanoma cells which promotes vemurafenib resistance. Heliyon. 9(7). e17714–e17714. 4 indexed citations
5.
Zhang, Dingyuan, Yuting Li, Yiting Lei, et al.. (2022). Circular RNA circRNF169 functions as a miR-30c-5p sponge to promote cellular senescence. Biochemical and Biophysical Research Communications. 604. 88–95. 2 indexed citations
6.
Xue, Min, Meng‐yun Cai, Tong Shao, et al.. (2021). A circular intronic RNA ciPVT1 delays endothelial cell senescence by regulating the miR‐24‐3p/CDK4/pRb axis. Aging Cell. 21(1). e13529–e13529. 21 indexed citations
7.
Wu, Weipeng, Meng‐yuan Zhou, Dongliang Liu, et al.. (2021). circGNAQ, a circular RNA enriched in vascular endothelium, inhibits endothelial cell senescence and atherosclerosis progression. Molecular Therapy — Nucleic Acids. 26. 374–387. 49 indexed citations
8.
Deng, Jun‐Jin, et al.. (2020). Recombinant neutral protease rNpI as fish feed additive to improve protein digestion and growth. Aquaculture Research. 52(1). 273–281. 3 indexed citations
9.
Lin, Jia-Yin, Hongjing Cui, Huiling Zheng, et al.. (2020). PCK1 Deficiency Shortens the Replicative Lifespan of Saccharomyces cerevisiae through Upregulation of PFK1. BioMed Research International. 2020(1). 3858465–3858465. 7 indexed citations
10.
Sun, Xuerong, Huiling Zheng, Min Ling, et al.. (2018). Senescence-associated secretory factors induced by cisplatin in melanoma cells promote non-senescent melanoma cell growth through activation of the ERK1/2-RSK1 pathway. Cell Death and Disease. 9(3). 260–260. 78 indexed citations
11.
Xu, Shun, Wei Zhu, Minghao Shao, et al.. (2018). Ecto-5′-nucleotidase (CD73) attenuates inflammation after spinal cord injury by promoting macrophages/microglia M2 polarization in mice. Journal of Neuroinflammation. 15(1). 155–155. 84 indexed citations
12.
Cai, Meng‐yun, Jie Cheng, Meng‐yuan Zhou, et al.. (2018). The association between pre-miR-27a rs895819 polymorphism and myocardial infarction risk in a Chinese Han population. Lipids in Health and Disease. 17(1). 7–7. 14 indexed citations
13.
Zhang, Chunlong, Xinguang Liu, Huiling Zheng, et al.. (2017). miR-342-5p promotes Zmpste24-deficient mouse embryonic fibroblasts proliferation by suppressing GAS2. Molecular Medicine Reports. 16(6). 8944–8952. 7 indexed citations
14.
Xu, Shun, Jie Cheng, Meng‐yun Cai, et al.. (2017). The Impact of tagSNPs in CXCL16 Gene on the Risk of Myocardial Infarction in a Chinese Han Population. Disease Markers. 2017. 1–7. 6 indexed citations
15.
Xu, Shun, Yuning Chen, Bing Zhang, et al.. (2016). DNA damage responsive miR-33b-3p promoted lung cancer cells survival and cisplatin resistance by targeting p21WAF1/CIP1. Cell Cycle. 15(21). 2920–2930. 41 indexed citations
16.
Xu, Shun, et al.. (2016). MicroRNA-33 promotes the replicative senescence of mouse embryonic fibroblasts by suppressing CDK6. Biochemical and Biophysical Research Communications. 473(4). 1064–1070. 10 indexed citations
17.
Cheng, Jie, Miook Cho, Shun Xu, et al.. (2015). A TagSNP in SIRT1 Gene Confers Susceptibility to Myocardial Infarction in a Chinese Han Population. PLoS ONE. 10(2). e0115339–e0115339. 23 indexed citations
18.
Cai, Muyan, Shun Xu, Li Li, et al.. (2015). Association between TNFSF4 tagSNPs and myocardial infarction in a Chinese Han population. Genetics and Molecular Research. 14(2). 6136–6145. 2 indexed citations
19.
Xu, Shun, Jie Cheng, Yuning Chen, et al.. (2015). The association of APOC4 polymorphisms with premature coronary artery disease in a Chinese Han population. Lipids in Health and Disease. 14(1). 63–63. 13 indexed citations
20.
Xu, Shun, Jie Cheng, Yuning Chen, et al.. (2014). The LRP6 rs2302685 polymorphism is associated with increased risk of myocardial infarction. Lipids in Health and Disease. 13(1). 94–94. 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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