Xiao‐Ke Yang

1.4k total citations
54 papers, 969 citations indexed

About

Xiao‐Ke Yang is a scholar working on Rheumatology, Molecular Biology and Immunology. According to data from OpenAlex, Xiao‐Ke Yang has authored 54 papers receiving a total of 969 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Rheumatology, 20 papers in Molecular Biology and 20 papers in Immunology. Recurrent topics in Xiao‐Ke Yang's work include Systemic Lupus Erythematosus Research (22 papers), Cancer-related molecular mechanisms research (10 papers) and Immune Cell Function and Interaction (8 papers). Xiao‐Ke Yang is often cited by papers focused on Systemic Lupus Erythematosus Research (22 papers), Cancer-related molecular mechanisms research (10 papers) and Immune Cell Function and Interaction (8 papers). Xiao‐Ke Yang collaborates with scholars based in China, Australia and Norway. Xiao‐Ke Yang's co-authors include Hai‐Feng Pan, Dong‐Qing Ye, Rui‐Xue Leng, Peng Wang, Kang-Jia Yin, Ji-Xiang Huang, Sha‐Sha Tao, Yisheng He, Chen-Chen Feng and Yuqian Hu and has published in prestigious journals such as PLoS ONE, Scientific Reports and Frontiers in Immunology.

In The Last Decade

Xiao‐Ke Yang

52 papers receiving 956 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiao‐Ke Yang China 19 367 289 275 191 124 54 969
Wenfeng Tan China 25 508 1.4× 440 1.5× 385 1.4× 187 1.0× 261 2.1× 73 1.4k
Wen‐Chan Tsai Taiwan 20 248 0.7× 514 1.8× 466 1.7× 97 0.5× 171 1.4× 82 1.3k
Huaxiang Wu China 18 266 0.7× 478 1.7× 252 0.9× 104 0.5× 75 0.6× 70 1.0k
Linchong Su China 14 234 0.6× 183 0.6× 303 1.1× 100 0.5× 102 0.8× 37 786
Jialin Teng China 21 367 1.0× 481 1.7× 486 1.8× 56 0.3× 72 0.6× 75 1.2k
Tracey Wright United States 14 417 1.1× 586 2.0× 738 2.7× 77 0.4× 99 0.8× 38 1.4k
Shubhasree Banerjee United States 12 256 0.7× 384 1.3× 355 1.3× 52 0.3× 310 2.5× 24 1.2k
Marta Vomero Italy 17 339 0.9× 272 0.9× 243 0.9× 93 0.5× 64 0.5× 56 916
Qibing Xie China 18 271 0.7× 306 1.1× 209 0.8× 74 0.4× 70 0.6× 88 963
Alessandro Giunta Italy 18 214 0.6× 250 0.9× 770 2.8× 63 0.3× 180 1.5× 78 1.3k

Countries citing papers authored by Xiao‐Ke Yang

Since Specialization
Citations

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

Fields of papers citing papers by Xiao‐Ke Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiao‐Ke Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiao‐Ke Yang. A scholar is included among the top collaborators of Xiao‐Ke 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 Xiao‐Ke Yang. Xiao‐Ke 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, Zhixin, et al.. (2024). Differential expressions and potential clinical values of lncRNAs in the plasma exosomes of rheumatoid arthritis. International Immunopharmacology. 128. 111511–111511. 9 indexed citations
2.
Tao, Sha‐Sha, Fan Cao, Shu-Zhen Xu, et al.. (2024). Mendelian Randomization Analysis of Circulating Cytokines and Risk of Autoimmune Neuroinflammatory Diseases. ImmunoTargets and Therapy. Volume 13. 273–286. 1 indexed citations
3.
Xu, Shu-Zhen, et al.. (2023). No genetic causal association between systemic lupus erythematosus and COVID-19. Frontiers in Immunology. 14. 1183570–1183570. 3 indexed citations
4.
Wang, Yue, et al.. (2023). Prostate transmembrane androgen inducible protein 1 (PMEPA1): regulation and clinical implications. Frontiers in Oncology. 13. 1298660–1298660. 1 indexed citations
5.
Xu, Wenjing, Feifei Wang, Xiao‐Ke Yang, et al.. (2022). Telomere Length and Development of Systemic Lupus Erythematosus: A Mendelian Randomization Study. Arthritis & Rheumatology. 74(12). 1984–1990. 29 indexed citations
6.
Tao, Sha‐Sha, Peng Wang, Xinyi Wang, et al.. (2022). Causal effect of polyunsaturated fatty acids on bone mineral density and fracture. Frontiers in Nutrition. 9. 1014847–1014847. 5 indexed citations
7.
Yang, Xiao‐Ke, Yisheng He, Jing Ni, et al.. (2022). Environmental factors and risk of gout. Environmental Research. 212(Pt C). 113377–113377. 47 indexed citations
8.
Xiang, Kun, Peng Wang, Zhiwei Xu, et al.. (2021). Causal Effects of Gut Microbiome on Systemic Lupus Erythematosus: A Two-Sample Mendelian Randomization Study. Frontiers in Immunology. 12. 667097–667097. 146 indexed citations
9.
Yang, Xiao‐Ke, Juan Liu, Mu Li, et al.. (2019). UBASH3A gene polymorphisms and expression profile in rheumatoid arthritis. Autoimmunity. 52(1). 21–26. 13 indexed citations
10.
Zhang, Mingyue, Zhiwei Zhu, Lian‐Ju Li, et al.. (2018). Differentially expressed circular RNAs in systemic lupus erythematosus and their clinical significance. Biomedicine & Pharmacotherapy. 107. 1720–1727. 33 indexed citations
11.
Li, Jun, Guo‐Cui Wu, Tian‐Ping Zhang, et al.. (2017). Association of long noncoding RNAs expression levels and their gene polymorphisms with systemic lupus erythematosus. Scientific Reports. 7(1). 15119–15119. 34 indexed citations
12.
Zhang, Mingyue, Xiao‐Ke Yang, Lian‐Ju Li, et al.. (2017). Association between serum/plasma adiponectin levels and immune-mediated diseases: a meta-analysis. Archives of Dermatological Research. 309(8). 625–635. 20 indexed citations
13.
Lv, Tiantian, Jun Wu, Tian‐Ping Zhang, et al.. (2017). Association of interleukin-10 gene single nucleotide polymorphisms with susceptibility to systemic lupus erythematosus in a Chinese population. Gene. 642. 549–554. 7 indexed citations
14.
Leng, Rui‐Xue, Hai‐Feng Pan, Juan Liu, et al.. (2016). Evidence for genetic association of TBX21 and IFNG with systemic lupus erythematosus in a Chinese Han population. Scientific Reports. 6(1). 22081–22081. 25 indexed citations
15.
Yang, Xiao‐Ke, Peng Li, Li Song, et al.. (2016). Genetic variant of IL-10RA and susceptibility to rheumatoid arthritis in a Chinese population. Clinical Rheumatology. 36(4). 825–830. 7 indexed citations
16.
Wang, De‐Guang, Xiao‐Ke Yang, Sha‐Sha Tao, et al.. (2014). Emerging Role of SIGIRR rs7396562(T/G) Polymorphism in Systemic Lupus Erythematosus in a Chinese Population. Inflammation. 37(5). 1847–1851. 9 indexed citations
17.
Fang, Xinyu, Xiao‐Ke Yang, Yanyan Liu, et al.. (2014). 5,10-Methylenetetrahydrofolate Reductase Polymorphisms and Colon Cancer Risk: a Meta-analysis. Asian Pacific Journal of Cancer Prevention. 15(19). 8245–8250. 7 indexed citations
18.
Xu, Wang‐Dong, Min Zhang, Chen-Chen Feng, et al.. (2013). IL-32 with potential insights into rheumatoid arthritis. Clinical Immunology. 147(2). 89–94. 27 indexed citations
19.
Cen, Han, Rui‐Xue Leng, Wei Wang, et al.. (2012). Association Study of IFIH1 rs1990760 Polymorphism with Systemic Lupus Erythematosus in a Chinese Population. Inflammation. 36(2). 444–448. 19 indexed citations
20.
Leng, Rui‐Xue, Wei Wang, Han Cen, et al.. (2012). Gene–Gene and Gene-Sex Epistatic Interactions of MiR146a, IRF5, IKZF1, ETS1 and IL21 in Systemic Lupus Erythematosus. PLoS ONE. 7(12). e51090–e51090. 38 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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