Baoyun Liang

864 total citations
32 papers, 660 citations indexed

About

Baoyun Liang is a scholar working on Molecular Biology, Cancer Research and Epidemiology. According to data from OpenAlex, Baoyun Liang has authored 32 papers receiving a total of 660 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 10 papers in Cancer Research and 7 papers in Epidemiology. Recurrent topics in Baoyun Liang's work include Cancer-related molecular mechanisms research (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers) and Immune Response and Inflammation (4 papers). Baoyun Liang is often cited by papers focused on Cancer-related molecular mechanisms research (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers) and Immune Response and Inflammation (4 papers). Baoyun Liang collaborates with scholars based in China, United Kingdom and United States. Baoyun Liang's co-authors include Li Su, Lian Gu, Yan Yan, Jianxiong Long, Jinjing Tan, Guangliang Wu, Juanjuan Xie, Juan Jiang, Jingui Xie and Xiaojing Guo and has published in prestigious journals such as PLoS ONE, Gene and Acta Psychiatrica Scandinavica.

In The Last Decade

Baoyun Liang

32 papers receiving 647 citations

Peers

Baoyun Liang

PMH

EDM

CCM

Guangliang Wu China

Juanjuan Xie China

Jinjing Tan China

Yen‐Feng Chiu Taiwan

Arden Moscati United States

Chun‐Kai Fang Taiwan

Daniel B. Rosoff United States

Ulf DeFaire Sweden

Ling Bai China

Ronny Baber Germany

Guangliang Wu China

Baoyun Liang

128 ×0.8

96 ×0.8

PMH

99 ×1.1

EDM

58 ×0.7

102 ×1.3

CCM

Citations per year, relative to Baoyun Liang Baoyun Liang (= 1×) peers Guangliang Wu

Countries citing papers authored by Baoyun Liang

Since Specialization

Citations

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

Fields of papers citing papers by Baoyun Liang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Baoyun Liang

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

All Works

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20 of 20 papers shown

He, Wanting, Jialei Yang, Ruirui Zhang, et al.. (2023). Exosomal circCNOT6L Regulates Astrocyte Apoptotic Signals Induced by Hypoxia Exposure Through miR99a-5p/SERPINE1 and Alleviates Ischemic Stroke Injury. Molecular Neurobiology. 60(12). 7118–7135. 8 indexed citations

Yan, Yan, Zhi Gang Zhao, Jialei Yang, et al.. (2022). Analysis of expression profiles and bioinformatics suggests that plasma exosomal circular RNAs may be involved in ischemic stroke in the Chinese Han population. Metabolic Brain Disease. 37(3). 665–676. 11 indexed citations

Liang, Baoyun, Tingting Shen, Yanli Wu, et al.. (2021). Association of CHUK gene polymorphism and ischemic stroke in the Han Chinese population. Journal of Clinical Neuroscience. 88. 271–276. 2 indexed citations

Huang, Jiao, Jinhong Li, Baoyun Liang, et al.. (2021). LncRNA H19 rs4929984 Variant is Associated with Coronary Artery Disease Susceptibility in Han Chinese Female Population. Biochemical Genetics. 59(6). 1359–1380. 9 indexed citations

Guo, Xiaojing, Jialei Yang, Baoyun Liang, et al.. (2018). Identification of Novel LncRNA Biomarkers and Construction of LncRNA-Related Networks in Han Chinese Patients with Ischemic Stroke. Cellular Physiology and Biochemistry. 50(6). 2157–2175. 29 indexed citations

Gu, Lian, Baoyun Liang, Qing Chen, et al.. (2017). TLR4 polymorphisms affect stroke risk and inflammatory response in Chinese ischemic stroke patients. Neurological Sciences. 39(1). 127–133. 12 indexed citations

Gu, Lian, et al.. (2016). TLR7 rs2897827 Polymorphism Affects TLR7 Gene mRNA Expression and Serum Apolipoprotein A1 Level of Ischemic Stroke Patients in a Chinese Han Population. Journal of Molecular Neuroscience. 59(3). 397–403. 2 indexed citations

Gu, Lian, Yanli Wu, Shuyan Hu, et al.. (2016). Analysis of Association between MAP2K4 Gene Polymorphism rs3826392 and IL-1b Serum Level in Southern Chinese Han Ischemic Stroke Patients. Journal of Stroke and Cerebrovascular Diseases. 25(5). 1096–1101. 6 indexed citations

Gu, Lian, et al.. (2016). Impact of TLR5 rs5744174 on stroke risk, gene expression and on inflammatory cytokines, and lipid levels in stroke patients. Neurological Sciences. 37(9). 1537–1544. 9 indexed citations

10.

Gu, Lian, Guangliang Wu, Li Su, et al.. (2015). TNF-a(-238G/A and -308G/A) gene polymorphisms may not contribute to the risk of ischemic stroke. International Journal of Neuroscience. 126(3). 219–226. 11 indexed citations

11.

Su, Li, Tingting Shen, Baoyun Liang, et al.. (2015). Association of GWAS-supported loci rs2107595 in HDAC9 gene with ischemic stroke in southern Han Chinese. Gene. 570(2). 282–287. 10 indexed citations

12.

Su, Li, Ziwen Chen, Yan Yan, et al.. (2015). Association Between TRAF6 Gene Polymorphisms and Susceptibility of Ischemic Stroke in Southern Chinese Han Population. Journal of Molecular Neuroscience. 57(3). 386–392. 10 indexed citations

13.

Su, Li, Jianxiong Long, Baoyun Liang, et al.. (2014). Association between theNOTCH4gene rs3131296 polymorphism with schizophrenia risk in the Chinese Zhuang population and Chinese Han population. Acta Neuropsychiatrica. 26(4). 240–245. 4 indexed citations

14.

Gu, Lian, Li Su, Baoyun Liang, et al.. (2013). Association between the C242T polymorphism of p22phox gene and ischemic stroke: A meta-analysis. Journal of the Neurological Sciences. 330(1-2). 100–110. 3 indexed citations

15.

Gu, Lian, Li Su, Qing Chen, et al.. (2013). Ruxolitinib for myelofibrosis. Experimental and Therapeutic Medicine. 5(3). 927–931. 6 indexed citations

16.

Liang, Baoyun, Tingting Shen, Li Su, et al.. (2013). The A640G polymorphism in the NAD(P)H oxidase p22phox gene (CYBA) is associated with risk reduction of coronary heart disease: A meta-analysis. Clinical Biochemistry. 47(6). 409–416. 3 indexed citations

17.

Liang, Baoyun, et al.. (2013). The A930G Polymorphism of P22phox (CYBA) Gene but Not C242T Variation Is Associated with Hypertension: A Meta-Analysis. PLoS ONE. 8(12). e82465–e82465. 8 indexed citations

18.

Liang, Baoyun, Huijun Wei, Yan Yan, et al.. (2013). AGT M235T polymorphisms and ischemic stroke risk: A meta-analysis. Journal of the Neurological Sciences. 331(1-2). 118–125. 18 indexed citations

19.

Gu, Lian, Baoyun Liang, Qing Chen, et al.. (2013). Prevalence of epilepsy in the People's Republic of China: A systematic review. Epilepsy Research. 105(1-2). 195–205. 59 indexed citations

20.

Gu, Lian, Li Su, Guangliang Wu, et al.. (2012). Association Between TNF-δ 238G/A Polymorphisms and the Risk of Ischemic Stroke. International Journal of Neuroscience. 123(1). 1–6. 14 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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