Banglong Xu

438 total citations
12 papers, 315 citations indexed

About

Banglong Xu is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Surgery. According to data from OpenAlex, Banglong Xu has authored 12 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cardiology and Cardiovascular Medicine, 4 papers in Molecular Biology and 3 papers in Surgery. Recurrent topics in Banglong Xu's work include Cardiac Ischemia and Reperfusion (3 papers), Coronary Interventions and Diagnostics (2 papers) and Atrial Fibrillation Management and Outcomes (2 papers). Banglong Xu is often cited by papers focused on Cardiac Ischemia and Reperfusion (3 papers), Coronary Interventions and Diagnostics (2 papers) and Atrial Fibrillation Management and Outcomes (2 papers). Banglong Xu collaborates with scholars based in China and United States. Banglong Xu's co-authors include Fei He, Jianlong Sheng, Cheng Cheng, Xiaochen Wang, Xiaocheng Wang, Cai Chen, Aihua Chen, Xianbao Wang, Siyi Wang and Haiqiong Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biomedicine & Pharmacotherapy and Evidence-based Complementary and Alternative Medicine.

In The Last Decade

Banglong Xu

10 papers receiving 312 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Banglong Xu China 6 189 64 50 41 40 12 315
Sumin Gao China 10 162 0.9× 86 1.3× 17 0.3× 44 1.1× 40 1.0× 23 398
Xixi Zeng China 11 179 0.9× 26 0.4× 30 0.6× 26 0.6× 80 2.0× 30 312
Abdullah Shopit China 11 227 1.2× 35 0.5× 26 0.5× 19 0.5× 76 1.9× 20 422
Somayeh Aslani Iran 7 116 0.6× 28 0.4× 74 1.5× 16 0.4× 37 0.9× 15 360
Bu-Hui Liu China 9 198 1.0× 34 0.5× 108 2.2× 18 0.4× 32 0.8× 21 378
Yicheng Jiang China 7 129 0.7× 28 0.4× 35 0.7× 20 0.5× 28 0.7× 15 318
Yingjie Cao China 13 185 1.0× 28 0.4× 52 1.0× 15 0.4× 22 0.6× 36 361
Tingting An China 10 128 0.7× 123 1.9× 52 1.0× 13 0.3× 38 0.9× 18 405
Xia Zhong China 10 150 0.8× 22 0.3× 89 1.8× 28 0.7× 23 0.6× 24 359

Countries citing papers authored by Banglong Xu

Since Specialization
Citations

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

Fields of papers citing papers by Banglong Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Banglong Xu

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

All Works

12 of 12 papers shown
1.
Wang, Lin, et al.. (2024). Machine learning prediction of no reflow in patients with ST-segment elevation myocardial infarction undergoing primary percutaneous coronary intervention. Cardiovascular Diagnosis and Therapy. 14(4). 547–562. 1 indexed citations
2.
Wang, Meng, Gang Yu, Xiaochen Wang, & Banglong Xu. (2023). Evaluation of changes in atrial fibrillation predictors(P wave parameters and left atrial diameter) in morbidly obese patients undergoing bariatric surgery. Journal of Electrocardiology. 78. 12–16. 1 indexed citations
4.
Gao, Feng, et al.. (2022). LncRNA HOXA11-AS Promotes Vascular Endothelial Cell Injury in Atherosclerosis by Regulating the miR-515-5p/ROCK1 Axis. ESC Heart Failure. 9(4). 2259–2271. 13 indexed citations
6.
Yang, Zhiqiang, Tingting Fan, Zheng Wang, et al.. (2022). Causal associations between blood pressure and the risk of myocardial infarction: A bidirectional Mendelian randomization study. Frontiers in Cardiovascular Medicine. 9. 924525–924525. 1 indexed citations
7.
Cheng, Cheng, Banglong Xu, Jianlong Sheng, et al.. (2022). Procedural Efficiency, Efficacy, and Safety of High-Power, Short-Duration Radiofrequency Ablation Delivered by STSF Catheter for Paroxysmal Atrial Fibrillation. Evidence-based Complementary and Alternative Medicine. 2022. 1–8. 3 indexed citations
8.
Gao, Feng, Xueying Chen, Banglong Xu, et al.. (2021). Inhibition of MicroRNA-92 alleviates atherogenesis by regulation of macrophage polarization through targeting KLF4. Journal of Cardiology. 79(3). 432–438. 7 indexed citations
9.
He, Fei, et al.. (2020). Uric acid aggravates myocardial ischemia–reperfusion injury via ROS/NLRP3 pyroptosis pathway. Biomedicine & Pharmacotherapy. 133. 110990–110990. 150 indexed citations
10.
Wang, Xianbao, Haiqiong Liu, Siyi Wang, et al.. (2019). Resveratrol pretreatment alleviates myocardial ischemia/reperfusion injury by inhibiting STIM1-mediated intracellular calcium accumulation. Journal of Physiology and Biochemistry. 75(4). 607–618. 41 indexed citations
12.
He, Fei, et al.. (2016). Methylophiopogonanone A suppresses ischemia/reperfusion-induced myocardial apoptosis in mice via activating PI3K/Akt/eNOS signaling pathway. Acta Pharmacologica Sinica. 37(6). 763–771. 56 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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