Fangqi Gong

1.5k total citations
68 papers, 1.0k citations indexed

About

Fangqi Gong is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Fangqi Gong has authored 68 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Surgery, 38 papers in Pulmonary and Respiratory Medicine and 17 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Fangqi Gong's work include Kawasaki Disease and Coronary Complications (36 papers), Coronary Artery Anomalies (26 papers) and Congenital Heart Disease Studies (12 papers). Fangqi Gong is often cited by papers focused on Kawasaki Disease and Coronary Complications (36 papers), Coronary Artery Anomalies (26 papers) and Congenital Heart Disease Studies (12 papers). Fangqi Gong collaborates with scholars based in China, Canada and United States. Fangqi Gong's co-authors include Songling Fu, Chunhong Xie, Yiying Zhang, Wei Wang, Yujia Wang, Weihua Zhu, Jian Hu, Wei Wang, Qing Zhang and Wei Wang and has published in prestigious journals such as PLoS ONE, Scientific Reports and Life Sciences.

In The Last Decade

Fangqi Gong

65 papers receiving 999 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fangqi Gong China 20 644 494 223 217 113 68 1.0k
Jamie L. Todd United States 20 741 1.2× 827 1.7× 95 0.4× 220 1.0× 43 0.4× 74 1.5k
Anselmo Alonso United States 15 454 0.7× 226 0.5× 172 0.8× 90 0.4× 77 0.7× 30 1.0k
Ehsan Natour Netherlands 16 444 0.7× 405 0.8× 425 1.9× 120 0.6× 22 0.2× 45 1.0k
Édouard Sage France 19 630 1.0× 390 0.8× 94 0.4× 141 0.6× 24 0.2× 88 1.2k
Richard L. Whelan United States 20 641 1.0× 348 0.7× 108 0.5× 191 0.9× 22 0.2× 50 1.3k
Ikuo Hashimoto Japan 19 347 0.5× 314 0.6× 531 2.4× 373 1.7× 43 0.4× 98 1.3k
Hiroshi Tsujimoto Japan 13 268 0.4× 220 0.4× 81 0.4× 106 0.5× 90 0.8× 34 562
Carlos A. Labarrere United States 18 556 0.9× 73 0.1× 270 1.2× 140 0.6× 129 1.1× 52 1.1k
Stephen Stewart United Kingdom 11 920 1.4× 400 0.8× 60 0.3× 87 0.4× 33 0.3× 32 1.2k
Chao‐Han Lai Taiwan 17 221 0.3× 277 0.6× 122 0.5× 156 0.7× 63 0.6× 65 831

Countries citing papers authored by Fangqi Gong

Since Specialization
Citations

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

Fields of papers citing papers by Fangqi Gong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fangqi Gong

This figure shows the co-authorship network connecting the top 25 collaborators of Fangqi Gong. A scholar is included among the top collaborators of Fangqi Gong 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 Fangqi Gong. Fangqi Gong 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.
Hu, Jian, Qing Zhang, Songling Fu, et al.. (2025). Impact of COVID-19 infection on Kawasaki disease and immune status in children. Scientific Reports. 15(1). 6417–6417. 1 indexed citations
2.
Xie, Chunhong, Qing Zhang, Xiaofeng Wang, et al.. (2024). Coronary thrombosis and myocardial ischemia in Kawasaki disease: a case report. BMC Cardiovascular Disorders. 24(1). 473–473.
3.
Wang, Wei, Zhimin Geng, Songling Fu, et al.. (2023). The safety and effectiveness of clopidogrel versus aspirin in Kawasaki disease with mild-to-moderate liver injury. Scientific Reports. 13(1). 18324–18324.
4.
Geng, Zhimin, Yijing Tao, Linlin Wu, et al.. (2021). Altered Monocyte Subsets in Kawasaki Disease Revealed by Single-cell RNA-Sequencing. Journal of Inflammation Research. Volume 14. 885–896. 28 indexed citations
5.
Shen, Jie, et al.. (2019). MiR-32-5p influences high glucose-induced cardiac fibroblast proliferation and phenotypic alteration by inhibiting DUSP1. BMC Molecular Biology. 20(1). 21–21. 22 indexed citations
6.
Ye, Qing, Fangqi Gong, Shiqiang Shang, & Jian Hu. (2016). Intravenous immunoglobulin treatment responsiveness depends on the degree of CD8 + T cell activation in Kawasaki disease. Clinical Immunology. 171. 25–31. 30 indexed citations
7.
Xia, Yuanyuan, Songling Fu, Wei Wang, et al.. (2016). Notch4 Signaling Pathway of Endothelial Progenitor Cells in a Kawasaki Disease Model Induced by <b><i>Lactobacillus casei</i></b> Cell Wall Extract. Journal of Vascular Research. 53(5-6). 340–348. 1 indexed citations
8.
Xu, Haiyan, Songling Fu, Wei Wang, et al.. (2015). Predictive value of red blood cell distribution width for coronary artery lesions in patients with Kawasaki disease. Cardiology in the Young. 26(6). 1151–1157. 8 indexed citations
9.
Wang, Wei, Jiao Lou, Rong Zhong, et al.. (2014). The Roles of Ca2+/NFAT Signaling Genes in Kawasaki Disease: Single- and Multiple-Risk Genetic Variants. Scientific Reports. 4(1). 5208–5208. 19 indexed citations
10.
Duan, Jiayu, Jiao Lou, Qing Zhang, et al.. (2014). A Genetic Variant rs1801274 in FCGR2A as a Potential Risk Marker for Kawasaki Disease: A Case-Control Study and Meta-Analysis. PLoS ONE. 9(8). e103329–e103329. 28 indexed citations
11.
Wang, Wei, Jiao Lou, Xuzai Lu, et al.. (2014). 8p22–23-rs2254546 as a Susceptibility Locus for Kawasaki Disease: a Case-control Study and a Meta-analysis. Scientific Reports. 4(1). 4247–4247. 9 indexed citations
12.
Wang, Hua, et al.. (2013). Biphasic regulation of hydrogen sulfide in inflammation. Chinese Medical Journal. 126(7). 1360–1363. 7 indexed citations
13.
Jiang, Guo‐Ping, Huafeng Wang, Fangqi Gong, et al.. (2013). Diagnostic value of parasternal pulmonary artery short-axis view for the anomalous origin of the left coronary artery from the pulmonary artery. Journal of Cardiology. 63(6). 444–448. 8 indexed citations
14.
Wang, Wei, Yujia Wang, Fangqi Gong, Weihua Zhu, & Songling Fu. (2013). MTHFR C677T Polymorphism and Risk of Congenital Heart Defects: Evidence from 29 Case-Control and TDT Studies. PLoS ONE. 8(3). e58041–e58041. 42 indexed citations
15.
Lou, Jiao, Li Zou, Rong Zhong, et al.. (2012). A functional polymorphism, rs28493229, in ITPKC and risk of Kawasaki disease: an integrated meta-analysis. Molecular Biology Reports. 39(12). 11137–11144. 26 indexed citations
17.
Wang, Wei, et al.. (2011). Rare hypertension as a result of 17α-hydroxylase deficiency. Journal of Pediatric Endocrinology and Metabolism. 24(5-6). 333–7. 7 indexed citations
18.
Zhang, Yiying, et al.. (2006). [Changes in CD69, CD25 and HLA-DR expressions in peripheral blood T cells in Kawasaki disease].. PubMed. 44(5). 329–32. 1 indexed citations
19.
Gong, Fangqi, et al.. (2005). [Pathophysiology of bleomycin-induced pulmonary hypertension in immature rabbits].. PubMed. 34(3). 237–42. 1 indexed citations
20.
Gong, Fangqi, et al.. (1999). Nebulized nitroglycerin in children with pulmonary hypertension secondary to congenital heart disease.. PubMed. 95(2). 74–5. 14 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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