Shaonan Yang

851 total citations
37 papers, 711 citations indexed

About

Shaonan Yang is a scholar working on Molecular Biology, Epidemiology and Cancer Research. According to data from OpenAlex, Shaonan Yang has authored 37 papers receiving a total of 711 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 16 papers in Epidemiology and 13 papers in Cancer Research. Recurrent topics in Shaonan Yang's work include MicroRNA in disease regulation (10 papers), Autophagy in Disease and Therapy (9 papers) and Cancer-related molecular mechanisms research (7 papers). Shaonan Yang is often cited by papers focused on MicroRNA in disease regulation (10 papers), Autophagy in Disease and Therapy (9 papers) and Cancer-related molecular mechanisms research (7 papers). Shaonan Yang collaborates with scholars based in China. Shaonan Yang's co-authors include Xudong Pan, Aijun Ma, Ruihua Yin, Xiaoyan Zhu, Juanjuan Ma, Na Li, Anmu Xie, Qi Xiao, Jingli Zhang and Yuan Wang and has published in prestigious journals such as International Journal of Molecular Sciences, Frontiers in Immunology and Biochemical Pharmacology.

In The Last Decade

Shaonan Yang

36 papers receiving 709 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shaonan Yang China 17 436 296 145 139 59 37 711
Lin Sun China 21 733 1.7× 275 0.9× 116 0.8× 73 0.5× 101 1.7× 49 1.2k
Pengzhan Zhao China 13 359 0.8× 186 0.6× 69 0.5× 54 0.4× 35 0.6× 15 638
Xiaoguang Zhao China 17 775 1.8× 617 2.1× 89 0.6× 65 0.5× 83 1.4× 25 1.2k
Zhengli Di China 11 346 0.8× 190 0.6× 62 0.4× 54 0.4× 31 0.5× 22 549
Lixin Li China 16 426 1.0× 285 1.0× 56 0.4× 74 0.5× 43 0.7× 36 712
Xianning Zhang China 15 444 1.0× 171 0.6× 90 0.6× 78 0.6× 73 1.2× 57 866
Chuanfang Cheng China 14 432 1.0× 250 0.8× 98 0.7× 40 0.3× 88 1.5× 21 679

Countries citing papers authored by Shaonan Yang

Since Specialization
Citations

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

Fields of papers citing papers by Shaonan Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaonan Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Shaonan Yang. A scholar is included among the top collaborators of Shaonan 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 Shaonan Yang. Shaonan 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.
Li, Na, et al.. (2025). The role of CXCL16 in atherosclerosis: from mechanisms to therapy. Frontiers in Immunology. 16. 1555438–1555438.
2.
Li, Hong, et al.. (2025). Inflammation Factors Mediate Association of Muscle Mass and Migraine: NHANES 1999–2004 and Mendelian Randomization. Journal of Pain Research. Volume 18. 2269–2283. 1 indexed citations
3.
4.
Liu, Yue, et al.. (2025). Effects of Carotid plaque Crouse score and serum Hcy on the location of white matter hyperintensities. Frontiers in Neurology. 16. 1533108–1533108. 1 indexed citations
5.
Yang, Shaonan, et al.. (2024). Chaperone-Mediated Autophagy Alleviates Cerebral Ischemia–Reperfusion Injury by Inhibiting P53-Mediated Mitochondria-Associated Apoptosis. Neurochemical Research. 50(1). 29–29. 2 indexed citations
6.
Jiang, Lu, et al.. (2024). ARL13B promotes cell cycle through the sonic hedgehog signaling pathway to alleviate nerve damage during cerebral ischemia/reperfusion in rats. Biochemical Pharmacology. 227. 116446–116446. 1 indexed citations
7.
Deng, Ling, Sha Chen, Yu Wu, et al.. (2023). miR-671-5p Upregulation Attenuates Blood–Brain Barrier Disruption in the Ischemia Stroke Model Via the NF-кB/MMP-9 Signaling Pathway. Molecular Neurobiology. 60(7). 3824–3838. 14 indexed citations
8.
Yang, Shaonan, et al.. (2023). Exosomal miR-320e through wnt2targeted inhibition of the Wnt/β-catenin pathway allevisate cerebral small vessel disease and cognitive impairment. World Journal of Psychiatry. 13(9). 630–644. 2 indexed citations
9.
Rong, Xi, et al.. (2022). Risk factors and characteristics of ischemic stroke in patients with immune thrombocytopenia: A retrospective cohort study. Journal of Stroke and Cerebrovascular Diseases. 31(10). 106693–106693. 2 indexed citations
10.
Yang, Shaonan, et al.. (2022). Increased level of FAM19A5 is associated with cerebral small vessel disease and leads to a better outcome. PeerJ. 10. e13101–e13101. 2 indexed citations
11.
Yang, Shaonan, et al.. (2021). Lower uric acid level may be associated with hemorrhagic transformation after intravenous thrombolysis. Neurological Sciences. 43(5). 3113–3120. 12 indexed citations
12.
Jin, Wei, et al.. (2021). Plasma chromogranin A levels are associated with acute ischemic stroke with anterior circulation large vessel occlusion. Nutrition Metabolism and Cardiovascular Diseases. 32(1). 195–202. 1 indexed citations
13.
Yang, Wenzhi, Ruihua Yin, Xiaoyan Zhu, et al.. (2020). Mesenchymal stem-cell-derived exosomal miR-145 inhibits atherosclerosis by targeting JAM-A. Molecular Therapy — Nucleic Acids. 23. 119–131. 65 indexed citations
14.
Yin, Ruihua, Xiaoyan Zhu, Jing Wang, et al.. (2019). MicroRNA-155 promotes the ox-LDL-induced activation of NLRP3 inflammasomes via the ERK1/2 pathway in THP-1 macrophages and aggravates atherosclerosis in ApoE−/− mice. Annals of Palliative Medicine. 8(5). 676–689. 53 indexed citations
15.
Xiao, Qi, Xiaoyan Zhu, Shaonan Yang, et al.. (2019). LPS induces CXCL16 expression in HUVECs through the miR-146a-mediated TLR4 pathway. International Immunopharmacology. 69. 143–149. 34 indexed citations
16.
Ma, Juanjuan, Shaonan Yang, Aijun Ma, et al.. (2017). Expression of miRNA-155 in carotid atherosclerotic plaques of apolipoprotein E knockout (ApoE −/− ) mice and the interventional effect of rapamycin. International Immunopharmacology. 46. 70–74. 20 indexed citations
17.
Yin, Ruihua, Aijun Ma, Xudong Pan, & Shaonan Yang. (2017). Biomarkers of cerebral microembolic signals. Clinica Chimica Acta. 475. 164–168. 12 indexed citations
18.
Li, Na, Xudong Pan, Jingli Zhang, et al.. (2017). Plasma levels of miR-137 and miR-124 are associated with Parkinson’s disease but not with Parkinson’s disease with depression. Neurological Sciences. 38(5). 761–767. 93 indexed citations
19.
Pan, Xudong, Rongyao Hou, Aijun Ma, et al.. (2016). Atorvastatin Upregulates the Expression of miR-126 in Apolipoprotein E-knockout Mice with Carotid Atherosclerotic Plaque. Cellular and Molecular Neurobiology. 37(1). 29–36. 23 indexed citations
20.
Ma, Aijun, Shaonan Yang, Yuan Wang, Xia Wang, & Xudong Pan. (2016). Increase of Serum CXCL16 Level Correlates Well to Microembolic Signals in Acute Stroke Patients with Carotid Artery Stenosis. Clinica Chimica Acta. 460. 67–71. 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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