Ye‐Sheng Wei

553 total citations
21 papers, 464 citations indexed

About

Ye‐Sheng Wei is a scholar working on Immunology, Epidemiology and Immunology and Allergy. According to data from OpenAlex, Ye‐Sheng Wei has authored 21 papers receiving a total of 464 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Immunology, 5 papers in Epidemiology and 3 papers in Immunology and Allergy. Recurrent topics in Ye‐Sheng Wei's work include Immune Response and Inflammation (6 papers), Immune Cell Function and Interaction (5 papers) and Atherosclerosis and Cardiovascular Diseases (5 papers). Ye‐Sheng Wei is often cited by papers focused on Immune Response and Inflammation (6 papers), Immune Cell Function and Interaction (5 papers) and Atherosclerosis and Cardiovascular Diseases (5 papers). Ye‐Sheng Wei collaborates with scholars based in China, Finland and United Kingdom. Ye‐Sheng Wei's co-authors include Yan Lan, Junli Wang, Bin Luo, Jing Guo, Huatuo Huang, Zhaoquan Huang, Chunfang Wang, Chuandong Wei, Hongcheng Luo and Yunguang Liu and has published in prestigious journals such as Gene, Oncotarget and Molecular Immunology.

In The Last Decade

Ye‐Sheng Wei

21 papers receiving 455 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ye‐Sheng Wei China	14	318	128	86	86	69	21	464
Yan Lan China	15	298 0.9×	98 0.8×	107 1.2×	95 1.1×	61 0.9×	26	473
Stephanie Roberson United States	6	394 1.2×	263 2.1×	113 1.3×	118 1.4×	41 0.6×	10	626
Monika Jasek Poland	17	464 1.5×	101 0.8×	106 1.2×	54 0.6×	27 0.4×	45	705
Holger Ruchatz United Kingdom	7	367 1.2×	130 1.0×	104 1.2×	121 1.4×	70 1.0×	8	592
J. von Kempis Switzerland	11	292 0.9×	69 0.5×	67 0.8×	219 2.5×	57 0.8×	23	599
S Nagashima United States	9	255 0.8×	145 1.1×	150 1.7×	66 0.8×	47 0.7×	14	534
Atsushi� Satake Japan	16	334 1.1×	127 1.0×	103 1.2×	45 0.5×	83 1.2×	72	697
Allan Thiolat France	13	374 1.2×	139 1.1×	98 1.1×	93 1.1×	69 1.0×	27	619
Antoine W.T. van Lieshout Netherlands	13	492 1.5×	200 1.6×	121 1.4×	195 2.3×	53 0.8×	15	705
Ceri A. Roberts United Kingdom	8	394 1.2×	101 0.8×	124 1.4×	100 1.2×	66 1.0×	10	614

Countries citing papers authored by Ye‐Sheng Wei

Since Specialization

Citations

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

Fields of papers citing papers by Ye‐Sheng Wei

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ye‐Sheng Wei. 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 Ye‐Sheng Wei. The network helps show where Ye‐Sheng Wei may publish in the future.

Co-authorship network of co-authors of Ye‐Sheng Wei

This figure shows the co-authorship network connecting the top 25 collaborators of Ye‐Sheng Wei. A scholar is included among the top collaborators of Ye‐Sheng Wei 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 Ye‐Sheng Wei. Ye‐Sheng Wei 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

Wang, Rong, Yulan Lu, Huatuo Huang, et al.. (2017). Association of interleukin 13 gene polymorphisms and plasma IL 13 level with risk of systemic lupus erythematosus. Cytokine. 104. 92–97. 12 indexed citations

Xiang, Yang, Jing Guo, You‐Fan Peng, et al.. (2017). Association study of CD154 polymorphisms and serum CD154 level with systemic lupus erythematous in Chinese population. Rheumatology International. 37(8). 1287–1294. 2 indexed citations

Huang, Huatuo, Jing Guo, Yang Xiang, et al.. (2017). A SNP in 5′ untranslated region of CD40 gene is associated with an increased risk of ischemic stroke in a Chinese population: a case-control study. Genetics and Molecular Biology. 40(2). 442–449. 3 indexed citations

Huang, Huatuo, Jianming Chen, Jing Guo, Yan Lan, & Ye‐Sheng Wei. (2016). The association of interleukin-31 polymorphisms with interleukin-31 serum levels and risk of systemic lupus erythematosus. Rheumatology International. 36(6). 799–805. 21 indexed citations

Guo, Jing, Yang Xiang, You‐Fan Peng, et al.. (2016). The association of novel IL-33 polymorphisms with sIL-33 and risk of systemic lupus erythematosus. Molecular Immunology. 77. 1–7. 29 indexed citations

Chen, Jianming, Jing Guo, Chuandong Wei, et al.. (2015). The association of CD40 polymorphisms with CD40 serum levels and risk of systemic lupus erythematosus. BMC Genetics. 16(1). 121–121. 37 indexed citations

Guo, Jinghui, Hongcheng Luo, Chuandong Wei, et al.. (2015). Association of CD40 polymorphisms and haplotype with risk of systemic lupus erythematosus. Rheumatology International. 36(1). 45–52. 21 indexed citations

Lan, Yan, et al.. (2015). Association of the Single-Nucleotide Polymorphism and Haplotype of the Complement Receptor 1 Gene with Malaria. Yonsei Medical Journal. 56(2). 332–332. 2 indexed citations

Lan, Yan, et al.. (2014). The association of interleukin-21 polymorphisms with interleukin-21 serum levels and risk of systemic lupus erythematosus. Gene. 538(1). 94–98. 42 indexed citations

10.

Wang, Haiyan, Ye‐Sheng Wei, Yi Zeng, et al.. (2014). The association of polymorphisms of TLR4 and CD14genes with susceptibility to sepsis in a Chinese population. BMC Medical Genetics. 15(1). 123–123. 29 indexed citations

11.

Wang, Junli, et al.. (2013). Association of Interleukin-12 Polymorphisms and Serum IL-12p40 Levels with Osteosarcoma Risk. DNA and Cell Biology. 32(10). 605–610. 32 indexed citations

12.

Wang, Junli, et al.. (2013). Association of osteopontin polymorphisms with nasopharyngeal carcinoma risk. Human Immunology. 75(1). 76–80. 10 indexed citations

13.

Huang, Zhaoquan, et al.. (2011). Association of single nucleotide polymorphisms in IL-12 and IL-27 genes with colorectal cancer risk. Clinical Biochemistry. 45(1-2). 54–59. 46 indexed citations

14.

Wei, Ye‐Sheng, et al.. (2011). The association of L-selectin polymorphisms with L-selectin serum levels and risk of ischemic stroke. Journal of Thrombosis and Thrombolysis. 32(1). 110–115. 26 indexed citations

15.

Wei, Ye‐Sheng, et al.. (2009). Association of variants in the interleukin‐27 and interleukin‐12 gene with nasopharyngeal carcinoma. Molecular Carcinogenesis. 48(8). 751–757. 42 indexed citations

16.

Zhu, Yinhua, et al.. (2008). Association of IL-1B Gene Polymorphisms with Nasopharyngeal Carcinoma in a Chinese Population. Clinical Oncology. 20(3). 207–211. 21 indexed citations

17.

Wei, Ye‐Sheng, et al.. (2007). Association of the single-nucleotide polymorphism and haplotype of the P-selectin gene with ischemic stroke. Journal of Thrombosis and Thrombolysis. 27(1). 75–81. 10 indexed citations

18.

Wei, Ye‐Sheng, et al.. (2007). Interleukin-18 gene promoter polymorphisms and the risk of esophageal squamous cell carcinoma. Acta Oncologica. 46(8). 1090–1096. 37 indexed citations

19.

Wei, Ye‐Sheng, et al.. (2007). [Genetic polymorphisms of interferon-gamma and interleukin-8 in patients with nasopharyngeal carcinoma].. PubMed. 38(5). 862–5. 8 indexed citations

20.

Wei, Ye‐Sheng, et al.. (2006). [Relationship between interleukin-6 gene polymorphism and coronary heart disease and its effect on plasma lipid levels].. PubMed. 18(4). 233–6. 15 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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