Di Che

1.9k total citations
60 papers, 1.2k citations indexed

About

Di Che is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Di Che has authored 60 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Surgery, 20 papers in Pulmonary and Respiratory Medicine and 19 papers in Cancer Research. Recurrent topics in Di Che's work include Kawasaki Disease and Coronary Complications (27 papers), Coronary Artery Anomalies (17 papers) and Cancer-related molecular mechanisms research (14 papers). Di Che is often cited by papers focused on Kawasaki Disease and Coronary Complications (27 papers), Coronary Artery Anomalies (17 papers) and Cancer-related molecular mechanisms research (14 papers). Di Che collaborates with scholars based in China, United States and Australia. Di Che's co-authors include Nanqi Ren, Juanshan Du, Wanqian Guo, Xiaoqiong Gu, Xiaochi Feng, Renli Yin, Heshan Zheng, Huazhe Wang, Yufen Xu and Lei Pi and has published in prestigious journals such as Journal of Biological Chemistry, Molecular Cell and PLoS ONE.

In The Last Decade

Di Che

58 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Di Che China 17 372 364 293 248 199 60 1.2k
Huiyi Wu China 14 551 1.5× 206 0.6× 174 0.6× 262 1.1× 127 0.6× 28 1.3k
Yahui Zhu China 24 666 1.8× 114 0.3× 78 0.3× 495 2.0× 117 0.6× 55 1.5k
Mengyun Wang China 24 988 2.7× 179 0.5× 94 0.3× 479 1.9× 83 0.4× 69 1.6k
Yingying Shao China 21 461 1.2× 116 0.3× 113 0.4× 169 0.7× 166 0.8× 67 1.4k
Chunping Liu China 23 639 1.7× 91 0.3× 55 0.2× 215 0.9× 242 1.2× 100 1.7k
Xiaonan Kang China 22 721 1.9× 231 0.6× 45 0.2× 208 0.8× 94 0.5× 41 1.4k
Chunyang Jiang China 23 730 2.0× 191 0.5× 50 0.2× 487 2.0× 78 0.4× 52 1.6k
Tianli Zhang Japan 16 410 1.1× 80 0.2× 89 0.3× 169 0.7× 82 0.4× 62 989
Chengyun Li China 18 507 1.4× 87 0.2× 83 0.3× 426 1.7× 67 0.3× 50 1.0k
Shuang Ye China 21 424 1.1× 94 0.3× 69 0.2× 178 0.7× 80 0.4× 61 1.2k

Countries citing papers authored by Di Che

Since Specialization
Citations

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

Fields of papers citing papers by Di Che

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Di Che

This figure shows the co-authorship network connecting the top 25 collaborators of Di Che. A scholar is included among the top collaborators of Di Che 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 Di Che. Di Che 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, Fei, Wan Seok Yang, Zuhong Lu, et al.. (2025). T-cadherin deprivation in endothelial cells promotes vascular injury in Kawasaki disease through SOD2/ROS/NLRP3 pathway-mediated pyroptosis. Journal of Molecular Cell Biology. 17(9).
3.
Zhang, Yuan, Manli Guo, Qian Chen, et al.. (2024). Platelet–Monocyte Aggregate Instigates Inflammation and Vasculopathy in Kawasaki Disease. Advanced Science. 12(5). e2406282–e2406282. 3 indexed citations
4.
Zhang, Ting, Jing Deng, Di Che, et al.. (2022). Epstein–Barr virus-encoded microRNA BART22 serves as novel biomarkers and drives malignant transformation of nasopharyngeal carcinoma. Cell Death and Disease. 13(7). 664–664. 14 indexed citations
5.
Yu, Hongyan, Yufen Xu, Kaining Chen, et al.. (2022). Association between Rab31/rs9965664 polymorphism and immunoglobulin therapy resistance in patients with Kawasaki disease. Frontiers in Cardiovascular Medicine. 9. 944508–944508. 2 indexed citations
6.
Xu, Yufen, et al.. (2022). The Associated of the Risk of IVIG Resistance in Kawasaki Disease with ZNF112 Gene and ZNF180 Gene in a Southern Chinese Population. Journal of Inflammation Research. Volume 15. 5053–5062. 4 indexed citations
7.
Xu, Yufen, Hongyan Yu, Lei Pi, et al.. (2021). Association study of miR‐149, miR‐196a2, and miR‐499a polymorphisms with coronary artery aneurysm of Kawasaki disease in southern Chinese population. The Journal of Gene Medicine. 24(4). e3405–e3405. 7 indexed citations
8.
Che, Di, et al.. (2021). The lncRNA ANRIL Gene rs2151280 GG Genotype is Associated with Increased Susceptibility to Recurrent Miscarriage in a Southern Chinese Population. Journal of Inflammation Research. Volume 14. 2865–2872. 8 indexed citations
9.
Che, Di, et al.. (2021). The SERPINA4 rs2070777 AA Genotype is Associated with an Increased Risk of Recurrent Miscarriage in a Southern Chinese Population. International Journal of Women s Health. Volume 13. 111–117. 5 indexed citations
10.
Wu, Zhiyuan, et al.. (2021). The lncRNA CCAT2 Rs6983267 G Variant Contributes to Increased Sepsis Susceptibility in a Southern Chinese Population. Infection and Drug Resistance. Volume 14. 2969–2976. 2 indexed citations
11.
Xu, Yufen, Di Che, Yaqian Tan, et al.. (2020). The rs1051931 G>A Polymorphism in the PLA2G7 Gene Confers Resistance to Immunoglobulin Therapy in Kawasaki Disease in a Southern Chinese Population. Frontiers in Pediatrics. 8. 338–338. 3 indexed citations
12.
Li, Dianrong, Jie Chen, Youwei Ai, et al.. (2019). Estrogen-Related Hormones Induce Apoptosis by Stabilizing Schlafen-12 Protein Turnover. Molecular Cell. 75(6). 1103–1116.e9. 62 indexed citations
13.
Xu, Yufen, et al.. (2019). LncRNA HULC Polymorphism Is Associated With Recurrent Spontaneous Abortion Susceptibility in the Southern Chinese Population. Frontiers in Genetics. 10. 918–918. 13 indexed citations
14.
Pi, Lei, et al.. (2018). A PEAR1 polymorphism (rs12041331) is associated with risk of coronary artery aneurysm in Kawasaki disease. Annals of Human Genetics. 83(1). 54–62. 10 indexed citations
15.
Che, Di, et al.. (2018). ABCC4 Variants Modify Susceptibility to Kawasaki Disease in a Southern Chinese Population. Disease Markers. 2018. 1–7. 9 indexed citations
16.
Che, Di, et al.. (2018). TBXA2R rs4523 G allele is associated with decreased susceptibility to Kawasaki disease. Cytokine. 111. 216–221. 10 indexed citations
17.
Pi, Lei, Di Che, Jiawen Li, et al.. (2018). Immature platelets and antiplatelet therapy response to aspirin in Kawasaki disease. Drug Design Development and Therapy. Volume 12. 1353–1362. 11 indexed citations
18.
Che, Di, Jiawen Li, Lei Pi, et al.. (2018). The rs1625579 T&gt;G polymorphism in the <em>miRNA-137</em> gene confers a risk of early-onset Kawasaki disease in a southern Chinese population. Infection and Drug Resistance. Volume 11. 1055–1060. 11 indexed citations
19.
Zhang, Yuan, et al.. (2017). Genetic susceptibility of ABCC4, FCGR2A and BLK polymorphisms with Kawasaki disease in children from southern China. Zhonghua jianyan yixue zazhi. 40(5). 372–377. 1 indexed citations
20.
Che, Di, Ti Zhou, Jinye Xie, et al.. (2016). High glucose-induced epithelial-mesenchymal transition contributes to the upregulation of fibrogenic factors in retinal pigment epithelial cells. International Journal of Molecular Medicine. 38(6). 1815–1822. 37 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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