Xueyan Xi

1.5k total citations
49 papers, 1.2k citations indexed

About

Xueyan Xi is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Xueyan Xi has authored 49 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Immunology, 17 papers in Molecular Biology and 16 papers in Oncology. Recurrent topics in Xueyan Xi's work include Immune Cell Function and Interaction (14 papers), T-cell and B-cell Immunology (9 papers) and Platelet Disorders and Treatments (7 papers). Xueyan Xi is often cited by papers focused on Immune Cell Function and Interaction (14 papers), T-cell and B-cell Immunology (9 papers) and Platelet Disorders and Treatments (7 papers). Xueyan Xi collaborates with scholars based in China, Taiwan and France. Xueyan Xi's co-authors include Zhendong Zhao, Lianxian Cui, Jianwei Wang, Wei He, Chi Ma, Wei Cao, Boyu Du, Yan Kong, Yang Guo and Bei Wang and has published in prestigious journals such as Journal of Biological Chemistry, Blood and PLoS ONE.

In The Last Decade

Xueyan Xi

49 papers receiving 1.2k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Xueyan Xi 492 418 225 196 164 49 1.2k
Nadine Weich 334 0.7× 806 1.9× 344 1.5× 396 2.0× 118 0.7× 23 1.7k
Sabarinathan Ramachandran 349 0.7× 418 1.0× 151 0.7× 268 1.4× 116 0.7× 76 1.9k
Samuel McGee 524 1.1× 795 1.9× 302 1.3× 86 0.4× 48 0.3× 19 1.5k
Gady Cojocaru 412 0.8× 725 1.7× 161 0.7× 65 0.3× 111 0.7× 22 1.3k
Gianna Fiorucci 522 1.1× 590 1.4× 256 1.1× 189 1.0× 45 0.3× 48 1.3k
Eamon P. Breen 425 0.9× 495 1.2× 234 1.0× 148 0.8× 51 0.3× 25 1.1k
Arnoud de Ru 571 1.2× 322 0.8× 160 0.7× 490 2.5× 60 0.4× 27 1.8k
Zongshu Luo 214 0.4× 433 1.0× 123 0.5× 166 0.8× 296 1.8× 17 926
Urania Georgopoulou 130 0.3× 397 0.9× 74 0.3× 435 2.2× 111 0.7× 55 1.0k
Yoshihisa Shibata 347 0.7× 218 0.5× 166 0.7× 62 0.3× 62 0.4× 96 1.0k

Countries citing papers authored by Xueyan Xi

Since Specialization
Citations

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

Fields of papers citing papers by Xueyan Xi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xueyan Xi

This figure shows the co-authorship network connecting the top 25 collaborators of Xueyan Xi. A scholar is included among the top collaborators of Xueyan Xi 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 Xueyan Xi. Xueyan Xi 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.
Wu, Qiong, Yangyang Liu, Boyu Du, et al.. (2024). Baricitinib relieves DSS-induced ulcerative colitis in mice by suppressing the NF-κB and JAK2/STAT3 signalling pathways. Inflammopharmacology. 32(1). 849–861. 4 indexed citations
2.
Chen, Zhong, et al.. (2024). Polyphyllin VII as a potential medication for targeting epithelial mesenchymal transitionin in thyroid cancer. Journal of Pharmacological Sciences. 156(2). 49–56. 2 indexed citations
3.
Deng, Ting, et al.. (2023). MCP‐1/CCR2 axis is involved in the regulation of γδT cells in lupus nephritis. Scandinavian Journal of Immunology. 98(4). e13305–e13305. 1 indexed citations
4.
Fu, Fei, Zhongyu Wang, Fen Qiu, et al.. (2022). Polyphyllin VII is a Potential Drug Targeting CD44 Positive Colon Cancer Cells. Current Cancer Drug Targets. 22(5). 426–435. 7 indexed citations
5.
Du, Boyu, et al.. (2022). Non-structure protein ORF1ab (NSP8) in SARS-CoV-2 contains potential γδT cell epitopes. Frontiers in Microbiology. 13. 936272–936272. 3 indexed citations
6.
Xi, Xueyan, Yang Guo, Min Zhu, et al.. (2021). Higher expression of monocyte chemotactic protein 1 in mild COVID-19 patients might be correlated with inhibition of Type I IFN signaling. Virology Journal. 18(1). 12–12. 22 indexed citations
7.
Jin, Lan, Chen Yun-he, Dan Cheng, et al.. (2021). YAP inhibits autophagy and promotes progression of colorectal cancer via upregulating Bcl-2 expression. Cell Death and Disease. 12(5). 457–457. 84 indexed citations
8.
Yan, Jun, Shuang Wang, Yang Guo, et al.. (2021). Trim28 acts as restriction factor of prototype foamy virus replication by modulating H3K9me3 marks and destabilizing the viral transactivator Tas. Retrovirology. 18(1). 38–38. 15 indexed citations
9.
Xi, Xueyan, Yang Guo, Min Zhu, et al.. (2021). Identification of new potential antigen recognized by γδT cells in hepatocellular carcinoma. Cancer Immunology Immunotherapy. 70(7). 1917–1927. 8 indexed citations
10.
Du, Boyu, et al.. (2020). Comparative transcriptome analysis reveals a potential role for CaMK4 in γδT17 cells from systemic lupus erythematosus patients with lupus nephritis. International Immunopharmacology. 80. 106139–106139. 9 indexed citations
11.
Hao, Ling, Boyu Du, & Xueyan Xi. (2017). TRIM59 is a novel potential prognostic biomarker in patients with non-small cell lung cancer: A research based on bioinformatics analysis. Oncology Letters. 14(2). 2153–2164. 20 indexed citations
12.
Wang, Bei, Xueyan Xi, Xiaobo Lei, et al.. (2013). Enterovirus 71 Protease 2Apro Targets MAVS to Inhibit Anti-Viral Type I Interferon Responses. PLoS Pathogens. 9(3). e1003231–e1003231. 194 indexed citations
13.
14.
Ding, Qiulan, et al.. (2013). Characterization of large deletions in the F8 gene using multiple competitive amplification and the genome walking technique. Journal of Thrombosis and Haemostasis. 11(6). 1103–1110. 23 indexed citations
15.
Zhao, Hui, Xueyan Xi, Lianxian Cui, & Wei He. (2011). CDR3δ -grafted γ9δ2T cells mediate effective antitumor reactivity. Cellular and Molecular Immunology. 9(2). 147–154. 23 indexed citations
16.
Jiang, Yan, Yang Guo, Xueyan Xi, Lianxian Cui, & Wei He. (2011). Flanking V and J Sequences of Complementary Determining Region 3 of T Cell Receptor (TCR) δ1 (CDR3δ1) Determine the Structure and Function of TCRγ4δ1. Journal of Biological Chemistry. 286(29). 25611–25619. 2 indexed citations
17.
Xi, Xueyan, Lianxian Cui, & Wei He. (2010). The recognition of γδ TCR to protein antigen does not depend on the hydrophobic I97 residue of CDR3δ. International Immunology. 22(4). 299–306. 9 indexed citations
18.
Xi, Xueyan, Hui Chen, Chunping Xu, et al.. (2009). Antigen Specificity of γδ T Cells Depends Primarily on the Flanking Sequences of CDR3δ. Journal of Biological Chemistry. 284(40). 27449–27455. 22 indexed citations
19.
Cao, Wei, Xueyan Xi, Wenjing Li, et al.. (2007). RAET1E2, a Soluble Isoform of the UL16-binding Protein RAET1E Produced by Tumor Cells, Inhibits NKG2D-mediated NK Cytotoxicity. Journal of Biological Chemistry. 282(26). 18922–18928. 65 indexed citations
20.
Shen, Zhixiang, Xueyan Xi, J Caen, et al.. (1994). Fraxiparin, a low‐molecular‐weight heparin, stimulates megakaryocytopoiesis in vitro and in vivo in mice. British Journal of Haematology. 88(3). 608–612. 33 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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