Xun Chu

5.9k total citations
27 papers, 443 citations indexed

About

Xun Chu is a scholar working on Surgery, Genetics and Immunology. According to data from OpenAlex, Xun Chu has authored 27 papers receiving a total of 443 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Surgery, 10 papers in Genetics and 7 papers in Immunology. Recurrent topics in Xun Chu's work include Genetic Associations and Epidemiology (4 papers), Pediatric Hepatobiliary Diseases and Treatments (4 papers) and Congenital gastrointestinal and neural anomalies (4 papers). Xun Chu is often cited by papers focused on Genetic Associations and Epidemiology (4 papers), Pediatric Hepatobiliary Diseases and Treatments (4 papers) and Congenital gastrointestinal and neural anomalies (4 papers). Xun Chu collaborates with scholars based in China, United States and Singapore. Xun Chu's co-authors include Wei Huang, Changzheng Dong, Zhenju Song, Jin Li, Tieliu Shi, Jinxiu Shi, Yixue Li, Chaoyang Tong, Yi Wang and Ying Wang and has published in prestigious journals such as PLoS ONE, International Journal of Molecular Sciences and Cell Death and Disease.

In The Last Decade

Xun Chu

24 papers receiving 437 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xun Chu China 13 179 150 90 69 57 27 443
Marcel G. M. Wolfs Netherlands 9 212 1.2× 168 1.1× 47 0.5× 38 0.6× 120 2.1× 9 530
Liene Ņikitina-Zaķe Latvia 13 159 0.9× 142 0.9× 106 1.2× 101 1.5× 65 1.1× 30 500
Brian K. Stevens United States 6 132 0.7× 67 0.4× 86 1.0× 86 1.2× 38 0.7× 9 323
Joon-Young Kim South Korea 8 179 1.0× 49 0.3× 53 0.6× 69 1.0× 38 0.7× 13 383
Dilare Adi China 12 135 0.8× 52 0.3× 49 0.5× 99 1.4× 36 0.6× 46 416
Hideki Horibe Japan 15 293 1.6× 201 1.3× 92 1.0× 99 1.4× 69 1.2× 65 716
Beilei Zhao China 11 197 1.1× 90 0.6× 30 0.3× 40 0.6× 47 0.8× 20 430
Ricky Tsai Canada 9 198 1.1× 40 0.3× 49 0.5× 71 1.0× 43 0.8× 11 422
Chihiro Horimai Japan 7 155 0.9× 46 0.3× 45 0.5× 41 0.6× 41 0.7× 9 378

Countries citing papers authored by Xun Chu

Since Specialization
Citations

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

Fields of papers citing papers by Xun Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xun Chu

This figure shows the co-authorship network connecting the top 25 collaborators of Xun Chu. A scholar is included among the top collaborators of Xun Chu 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 Xun Chu. Xun Chu 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.
2.
Cui, Mengmeng, Yiming Gong, Weihua Pan, et al.. (2023). Contribution of ADD3 and the HLA Genes to Biliary Atresia Risk in Chinese. International Journal of Molecular Sciences. 24(19). 14719–14719. 8 indexed citations
3.
Bai, Meirong, Ying Zhou, Weihua Pan, et al.. (2023). Association analysis and functional follow-up identified common variants of JAG1 accounting for risk to biliary atresia. Frontiers in Genetics. 14. 1186882–1186882. 5 indexed citations
4.
Cui, Mengmeng, Xianxian Yu, Meirong Bai, et al.. (2021). Association Analysis of Variants of DSCAM and BACE2 With Hirschsprung Disease Susceptibility in Han Chinese and Functional Evaluation in Zebrafish. Frontiers in Cell and Developmental Biology. 9. 641152–641152. 9 indexed citations
5.
Wei, Zhiliang, Xianxian Yu, Wenjie Wu, et al.. (2020). Common variants of NRG1 and ITGB4 confer risk of Hirschsprung disease in Han Chinese population. Journal of Pediatric Surgery. 55(12). 2758–2765. 1 indexed citations
6.
Yu, Xianxian, Xun Chu, Wenjie Wu, et al.. (2020). Common variation of the NSD1 gene is associated with susceptibility to Hirschsprung’s disease in Chinese Han population. Pediatric Research. 89(3). 694–700. 1 indexed citations
7.
Niu, Weibo, Meirong Bai, Wenjie Wu, et al.. (2020). Association of Variants in PLD1, 3p24.1, and 10q11.21 Regions With Hirschsprung’s Disease in Han Chinese Population. Frontiers in Genetics. 11. 738–738. 2 indexed citations
8.
Zhu, Ming, Chong Li, Zhenju Song, et al.. (2019). The increased marginal zone B cells attenuates early inflammatory responses during sepsis in Gpr174 deficient mice. International Immunopharmacology. 81. 106034–106034. 10 indexed citations
9.
Chu, Xun, Yunke Yang, Keyong Li, et al.. (2019). Gpr174-deficient regulatory T cells decrease cytokine storm in septic mice. Cell Death and Disease. 10(3). 233–233. 46 indexed citations
10.
Yin, Jun, Keyong Li, Mingming Xue, et al.. (2018). Clinical characteristics and prognosis of serous body cavity effusions in patients with sepsis: a retrospective observational study. BMC Anesthesiology. 18(1). 169–169. 11 indexed citations
11.
Zhang, Xiaohong, Min Shen, Lin Liu, et al.. (2017). Association Analysis of Single Nucleotide Polymorphisms in C1QTNF6 , RAC2 , and an Intergenic Region at 14q32.2 with Graves' Disease in Chinese Han Population. Genetic Testing and Molecular Biomarkers. 21(8). 479–484. 1 indexed citations
12.
Liu, Lin, et al.. (2016). Predicting relapse of Graves' disease following treatment with antithyroid drugs. Experimental and Therapeutic Medicine. 11(4). 1453–1458. 26 indexed citations
13.
Xue, Mingming, Zhan Sun, Jun Yin, et al.. (2015). Diagnostic and prognostic utility of tissue factor for severe sepsis and sepsis-induced acute lung injury. Journal of Translational Medicine. 13(1). 172–172. 44 indexed citations
14.
Wang, Da‐Zhi, Zhengwen Jiang, Zhongyang Shen, et al.. (2011). Functional Evaluation of Genetic and Environmental Regulators of P450 mRNA Levels. PLoS ONE. 6(10). e24900–e24900. 24 indexed citations
15.
Xie, Fang, Xun Chu, Hong Wu, et al.. (2011). Replication of Putative Susceptibility Loci from Genome-Wide Association Studies Associated with Coronary Atherosclerosis in Chinese Han Population. PLoS ONE. 6(6). e20833–e20833. 25 indexed citations
16.
Wang, Ying, Wenqing Fu, Fang Xie, et al.. (2010). Common polymorphisms in ITGA2, PON1 and THBS2 are associated with coronary atherosclerosis in a candidate gene association study of the Chinese Han population. Journal of Human Genetics. 55(8). 490–494. 19 indexed citations
17.
Luan, Jing, Zhenmin Niu, Jing Zhang, et al.. (2010). A novel locus for disseminated superficial actinic porokeratosis maps to chromosome 16q24.1-24.3. Human Genetics. 129(3). 329–334. 15 indexed citations
18.
Chu, Xun, Yan Dong, Min Shen, et al.. (2009). Polymorphisms in the interleukin 3 gene show strong association with susceptibility to Graves’ disease in Chinese population. Genes and Immunity. 10(3). 260–266. 14 indexed citations
19.
Dong, Changzheng, Xun Chu, Ying Wang, et al.. (2007). Exploration of gene–gene interaction effects using entropy-based methods. European Journal of Human Genetics. 16(2). 229–235. 65 indexed citations
20.
Chu, Xun, et al.. (2004). SNP and its impact on human medicine. 24(6). 615–618.

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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