Qijian Yi

1.2k total citations
59 papers, 830 citations indexed

About

Qijian Yi is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Qijian Yi has authored 59 papers receiving a total of 830 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Surgery, 26 papers in Pulmonary and Respiratory Medicine and 23 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Qijian Yi's work include Kawasaki Disease and Coronary Complications (31 papers), Coronary Artery Anomalies (19 papers) and Cardiovascular Issues in Pregnancy (9 papers). Qijian Yi is often cited by papers focused on Kawasaki Disease and Coronary Complications (31 papers), Coronary Artery Anomalies (19 papers) and Cardiovascular Issues in Pregnancy (9 papers). Qijian Yi collaborates with scholars based in China, United States and Canada. Qijian Yi's co-authors include Fang Gao, Ruixi Liu, Nathalie F. Worth, Peter L. Weissberg, Manfred Wehnert, Matthias Vorgerd, Qiuping Zhang, Jason A. Mellad, Beate Schlotter‐Weigel and Jeremy N. Skepper and has published in prestigious journals such as SHILAP Revista de lepidopterología, Human Molecular Genetics and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Qijian Yi

57 papers receiving 815 citations

Peers

Qijian Yi

SURGE

CCM

PRM

Chirosree Bandyopadhyay United States

Sylvia P. Thomas Canada

F Kopp France

Noah Alberts‐Grill United States

F. Oberhäuser Germany

Natalie Bauer United States

Ren An China

Philip Roger Goody Germany

Lena Ostrovsky Canada

Julien Villeneuve France

Chirosree Bandyopadhyay United States

Qijian Yi

401 ×0.9

72 ×0.4

SURGE

70 ×0.4

CCM

77 ×0.6

PRM

134 ×1.4

Citations per year, relative to Qijian Yi Qijian Yi (= 1×) peers Chirosree Bandyopadhyay

Countries citing papers authored by Qijian Yi

Since Specialization

Citations

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

Fields of papers citing papers by Qijian Yi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qijian Yi

This figure shows the co-authorship network connecting the top 25 collaborators of Qijian Yi. A scholar is included among the top collaborators of Qijian Yi 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 Qijian Yi. Qijian Yi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Zhou, Xue, et al.. (2025). A Nomogram Model for Predicting Recurrent Coronary Thrombosis in Kawasaki Disease Patients. Journal of Inflammation Research. Volume 18. 105–114.

Pu, Xiaobo, et al.. (2025). Development and Validation of a Nomogram for Predicting Intravenous Immunoglobulin-Responsive Coronary Progression in Kawasaki Disease. Canadian Journal of Cardiology. 41(11). 2275–2287. 1 indexed citations

Yang, Penghui, et al.. (2025). The burden of ischemic heart disease among women of childbearing age in China from 1990 to 2021, and projections for the next 15 years. BMC Women s Health. 25(1). 220–220. 1 indexed citations

Liu, Dong, et al.. (2024). Serum NLRP3: A potential marker for identifying high-risk coronary arterial aneurysm in children with Kawasaki disease. Cytokine. 180. 156667–156667. 3 indexed citations

Yi, Qijian, et al.. (2024). The landscape of hot topics and research frontiers in Kawasaki disease: Scientometric analysis. Heliyon. 10(8). e29680–e29680. 2 indexed citations

Yang, Penghui, et al.. (2024). A prediction model for coronary artery abnormalities in children with Kawasaki disease older than 5 years. Jornal de Pediatria. 100(3). 318–326. 2 indexed citations

Zhang, Yan, et al.. (2024). Long term follow-up of patients with patent ductus arteriosus after transcatheter closure. Pediatric Research. 97(3). 1122–1126. 1 indexed citations

Yang, Penghui, et al.. (2024). Serum levels of PDGF-CC as a potential biomarker for the diagnosis of Kawasaki disease. The Italian Journal of Pediatrics/Italian journal of pediatrics. 50(1). 16–16. 1 indexed citations

Sun, Jing, Tienan Feng, Bo Wang, et al.. (2024). Leveraging artificial intelligence for predicting spontaneous closure of perimembranous ventricular septal defect in children: a multicentre, retrospective study in China. The Lancet Digital Health. 7(1). e44–e53. 3 indexed citations

10.

Liu, Ruixi, et al.. (2022). Association between serum miR-221-3p and intravenous immunoglobulin resistance in children with Kawasaki disease. Clinical and Experimental Medicine. 22(4). 621–628. 6 indexed citations

11.

Peng, Yue, et al.. (2022). A practical nomogram for predicting coronary thrombosis for Kawasaki disease patients with medium or large coronary artery aneurysm. Clinical and Experimental Medicine. 23(4). 1317–1324. 5 indexed citations

12.

Liu, Guolin, Xin Xu, Qijian Yi, & Tiewei Lv. (2021). The efficacy of catheter ablation versus ICD for prevention of ventricular tachycardia in patients with ischemic heart disease: a systematic review and meta-analysis. Journal of Interventional Cardiac Electrophysiology. 61(3). 435–443. 2 indexed citations

13.

Yi, Qijian, et al.. (2021). The Relationship between Retinol‐Binding Protein 4 and Markers of Inflammation and Thrombogenesis in Children with Kawasaki Disease. Mediators of Inflammation. 2021(1). 7029514–7029514. 7 indexed citations

14.

Li, Qiang, et al.. (2019). The Efficacy and Safety of Aerosolized Iloprost in Pulmonary Arterial Hypertension: A Systematic Review and Meta-Analysis. American Journal of Cardiovascular Drugs. 19(4). 393–401. 10 indexed citations

15.

Tian, Jie, et al.. (2018). Predictive values of serum procalcitonin and C reactive protein on coronary artery lesion in children with Kawasaki disease. 14(1). 31–37. 1 indexed citations

16.

Wu, Yuhao, et al.. (2018). The efficiency of endothelin receptor antagonist bosentan for pulmonary arterial hypertension associated with congenital heart disease: A systematic review and meta-analysis. PMC. 1 indexed citations

17.

Feng, Siqi, et al.. (2018). Serum levels of C1q/tumor necrosis factor-related protein-1 in children with Kawasaki disease. Pediatric Research. 83(5). 999–1003. 14 indexed citations

18.

Liu, Ruixi, Bo He, Fang Gao, Qian Liu, & Qijian Yi. (2012). Relationship between adipokines and coronary artery aneurysm in children with Kawasaki disease. Translational research. 160(2). 131–136. 22 indexed citations

19.

Liu, Tianhu, et al.. (2010). Multi-center, Multi-topic Heart Sound Databases and their Applications. Journal of Medical Systems. 36(1). 33–40. 7 indexed citations

20.

Zhang, Qiuping, Nathalie F. Worth, John Dwyfor Davies, et al.. (2007). Nesprin-1 and -2 are involved in the pathogenesis of Emery–Dreifuss muscular dystrophy and are critical for nuclear envelope integrity. Human Molecular Genetics. 16(23). 2816–2833. 397 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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