Songling Fu

923 total citations
34 papers, 668 citations indexed

About

Songling Fu is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Songling Fu has authored 34 papers receiving a total of 668 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Surgery, 17 papers in Pulmonary and Respiratory Medicine and 12 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Songling Fu's work include Kawasaki Disease and Coronary Complications (23 papers), Coronary Artery Anomalies (13 papers) and Mechanical Circulatory Support Devices (6 papers). Songling Fu is often cited by papers focused on Kawasaki Disease and Coronary Complications (23 papers), Coronary Artery Anomalies (13 papers) and Mechanical Circulatory Support Devices (6 papers). Songling Fu collaborates with scholars based in China, New Zealand and Switzerland. Songling Fu's co-authors include Fangqi Gong, Chunhong Xie, Yiying Zhang, Wei Wang, Weihua Zhu, Yujia Wang, Wei Wang, Qing Zhang, Jian Hu and Wei Wang and has published in prestigious journals such as PLoS ONE, Scientific Reports and Frontiers in Microbiology.

In The Last Decade

Songling Fu

30 papers receiving 666 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Songling Fu China 15 474 296 158 138 99 34 668
Mindy Ming‐Huey Guo Taiwan 16 468 1.0× 378 1.3× 114 0.7× 133 1.0× 97 1.0× 51 747
Hiroshi Tsujimoto Japan 13 268 0.6× 220 0.7× 81 0.5× 106 0.8× 90 0.9× 34 562
Toshiaki Jibiki Japan 10 286 0.6× 226 0.8× 90 0.6× 61 0.4× 60 0.6× 15 429
Jin-Hee Oh South Korea 13 354 0.7× 175 0.6× 162 1.0× 184 1.3× 13 0.1× 43 710
Shunichi Ogawa Japan 19 718 1.5× 590 2.0× 494 3.1× 105 0.8× 30 0.3× 54 977
Stephen Stewart United Kingdom 11 920 1.9× 400 1.4× 60 0.4× 87 0.6× 33 0.3× 32 1.2k
Edoardo Marrani Italy 15 182 0.4× 146 0.5× 32 0.2× 108 0.8× 135 1.4× 70 611
Katsumi Akimoto Japan 19 486 1.0× 451 1.5× 412 2.6× 57 0.4× 28 0.3× 45 856
Shigetoyo Kogaki Japan 14 454 1.0× 452 1.5× 285 1.8× 156 1.1× 11 0.1× 55 819
Hiroaki Niitsu Japan 12 254 0.5× 102 0.3× 65 0.4× 222 1.6× 17 0.2× 32 628

Countries citing papers authored by Songling Fu

Since Specialization
Citations

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

Fields of papers citing papers by Songling Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Songling Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Songling Fu. A scholar is included among the top collaborators of Songling Fu 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 Songling Fu. Songling Fu 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.
Huang, Chenxi, et al.. (2025). Orlistat ameliorates lipid dysmetabolism in high-fat diet-induced mice via gut microbiota modulation. Frontiers in Microbiology. 16. 1480500–1480500.
2.
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
3.
Fu, Songling, Zhaokun Li, Xinhui Liu, et al.. (2025). Impact of carotid web orientation on long-term thrombus growth risk: A numerical study using fluid-solid interaction. Computer Methods and Programs in Biomedicine. 272. 109049–109049.
4.
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.
5.
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.
6.
Sun, Yameng, Yijing Tao, Zhimin Geng, et al.. (2023). The activation of CaN/NFAT signaling pathway in macrophages aggravated Lactobacillus casei cell wall extract-induced Kawasaki disease vasculitis. Cytokine. 169. 156304–156304. 6 indexed citations
7.
Tao, Yijing, Jingjing Liu, Zhimin Geng, et al.. (2021). KCa3.1 Inhibition of Macrophages Suppresses Inflammatory Response Leading to Endothelial Damage in a Cell Model of Kawasaki Disease. Journal of Inflammation Research. Volume 14. 719–735. 14 indexed citations
8.
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
9.
Tao, Yijing, Yujia Wang, Yameng Sun, et al.. (2021). The Network of Pro-Inflammatory Factors CD147, DcR3, and IL33 in the Development of Kawasaki Disease. Journal of Inflammation Research. Volume 14. 6043–6053. 6 indexed citations
10.
Sun, Yameng, Jingjing Liu, Zhimin Geng, et al.. (2020). The elevated serum levels of calcineurin and nuclear factor of activated T-cells 1 in children with Kawasaki disease. Pediatric Rheumatology. 18(1). 23–23. 3 indexed citations
11.
Geng, Zhimin, Jingjing Liu, Jian Hu, et al.. (2020). Crucial transcripts predict response to initial immunoglobulin treatment in acute Kawasaki disease. Scientific Reports. 10(1). 17860–17860. 11 indexed citations
12.
Wang, Ying, Jian Hu, Jingjing Liu, et al.. (2020). The role of Ca2+/NFAT in Dysfunction and Inflammation of Human Coronary Endothelial Cells induced by Sera from patients with Kawasaki disease. Scientific Reports. 10(1). 4706–4706. 27 indexed citations
13.
Fu, Songling, et al.. (2019). Biomarkers of intravenous immunoglobulin resistance and coronary artery lesions in Kawasaki disease. World Journal of Pediatrics. 15(2). 168–175. 23 indexed citations
14.
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
15.
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
16.
Shi, Huijuan, et al.. (2015). Angiotensin II as a Morphogenic Cytokine Stimulating Fibrogenesis of Human Tenon's Capsule Fibroblasts. Investigative Ophthalmology & Visual Science. 56(2). 855–864. 18 indexed citations
17.
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
18.
19.
Wang, Yujia, Wei Wang, Fangqi Gong, et al.. (2012). Evaluation of intravenous immunoglobulin resistance and coronary artery lesions in relation to Th1/Th2 cytokine profiles in patients with Kawasaki disease. Arthritis & Rheumatism. 65(3). 805–814. 132 indexed citations
20.
Fu, Songling, Fangqi Gong, Chunhong Xie, et al.. (2010). S100A12 on Circulating Endothelial Cells Surface in Children With Kawasaki Disease. Pediatric Research. 68(2). 165–168. 27 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Mindy Ming‐Huey Guo Breakdown of academic impact, for papers by Hiroshi Tsujimoto Breakdown of academic impact, for papers by Toshiaki Jibiki Breakdown of academic impact, for papers by Jin-Hee Oh Breakdown of academic impact, for papers by Shunichi Ogawa Breakdown of academic impact, for papers by Stephen Stewart Breakdown of academic impact, for papers by Edoardo Marrani Breakdown of academic impact, for papers by Katsumi Akimoto Breakdown of academic impact, for papers by Shigetoyo Kogaki Breakdown of academic impact, for papers by Hiroaki Niitsu
Rankless by CCL
2026