Bo Xu

12.3k total citations · 1 hit paper
427 papers, 6.1k citations indexed

About

Bo Xu is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Bo Xu has authored 427 papers receiving a total of 6.1k indexed citations (citations by other indexed papers that have themselves been cited), including 309 papers in Surgery, 302 papers in Cardiology and Cardiovascular Medicine and 148 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Bo Xu's work include Coronary Interventions and Diagnostics (281 papers), Acute Myocardial Infarction Research (149 papers) and Cardiac Imaging and Diagnostics (144 papers). Bo Xu is often cited by papers focused on Coronary Interventions and Diagnostics (281 papers), Acute Myocardial Infarction Research (149 papers) and Cardiac Imaging and Diagnostics (144 papers). Bo Xu collaborates with scholars based in China, United States and Netherlands. Bo Xu's co-authors include Yuejin Yang, Shubin Qiao, Shengxian Tu, Changdong Guan, Yaling Han, William Wijns, Jinqing Yuan, Yongjian Wu, Jue Chen and Shengshou Hu and has published in prestigious journals such as JAMA, Circulation and Journal of Neuroscience.

In The Last Decade

Bo Xu

401 papers receiving 6.0k citations

Hit Papers

Diagnostic Accuracy of Angiography-Based Quantitative Flo... 2017 2026 2020 2023 2017 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bo Xu China 37 4.2k 3.9k 2.3k 1.3k 317 427 6.1k
Bimmer E. Claessen Netherlands 42 3.8k 0.9× 4.0k 1.0× 2.1k 0.9× 858 0.7× 314 1.0× 183 5.6k
Imad Sheiban Italy 36 3.5k 0.8× 3.6k 0.9× 1.7k 0.7× 1.4k 1.1× 244 0.8× 141 5.4k
Michael Mæng Denmark 40 3.7k 0.9× 4.6k 1.2× 2.2k 1.0× 917 0.7× 251 0.8× 298 6.6k
Subhash Banerjee United States 38 4.3k 1.0× 3.0k 0.8× 1.6k 0.7× 2.0k 1.6× 278 0.9× 341 6.0k
Giulio Stefanini Italy 37 3.4k 0.8× 3.6k 0.9× 1.2k 0.5× 1.1k 0.9× 646 2.0× 211 5.4k
Ángel Cequier Spain 42 3.5k 0.8× 4.6k 1.2× 1.5k 0.7× 1.1k 0.9× 381 1.2× 328 6.4k
Mark Webster New Zealand 39 4.0k 1.0× 3.9k 1.0× 1.5k 0.6× 2.4k 1.9× 422 1.3× 213 6.7k
Ιoannis Iakovou Greece 29 4.4k 1.1× 4.0k 1.0× 2.3k 1.0× 2.0k 1.5× 358 1.1× 185 8.4k
William O. Suddath United States 42 5.5k 1.3× 5.4k 1.4× 2.4k 1.1× 1.8k 1.4× 500 1.6× 249 7.8k
Salvatore Brugaletta Spain 39 3.3k 0.8× 3.0k 0.8× 1.3k 0.6× 1.1k 0.9× 362 1.1× 310 5.1k

Countries citing papers authored by Bo Xu

Since Specialization
Citations

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

Fields of papers citing papers by Bo Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bo Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Bo Xu. A scholar is included among the top collaborators of Bo 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 Bo Xu. Bo Xu 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
3.
Yang, Cheng, Changdong Guan, Yan-Lu Xu, et al.. (2024). Diagnostic performance of intravascular ultrasound-based fractional flow reserve in evaluating of intermediate left main stenosis. Journal of Geriatric Cardiology. 21(1). 34–43. 1 indexed citations
5.
Yuan, Deshan, Yi Yao, Lin Jiang, et al.. (2023). Prognostic impact of lipoprotein(a) in patients undergoing percutaneous coronary intervention modified by low density lipoprotein cholesterol. Clinica Chimica Acta. 540. 117217–117217. 3 indexed citations
6.
Zhang, Yu, Ce Zhang, Lin Jiang, et al.. (2023). An elevated triglyceride-glucose index predicts adverse outcomes and interacts with the treatment strategy in patients with three-vessel disease. Cardiovascular Diabetology. 22(1). 333–333. 11 indexed citations
7.
Zhu, Pei, Xiaofang Tang, Yulong Li, et al.. (2023). Five-Year Prognostic Value of DAPT Score in Older Patients undergoing Percutaneous Coronary Intervention: A Large-Sample Study in the Real World. Journal of Atherosclerosis and Thrombosis. 30(8). 1057–1069. 2 indexed citations
9.
Zhao, Xueyan, Jiawen Li, Fangchao Liu, et al.. (2021). The PRECISE-DAPT score and 5-year outcomes after percutaneous coronary intervention: a large-scale, real-world study from China. European Heart Journal - Quality of Care and Clinical Outcomes. 8(8). 812–820. 12 indexed citations
10.
Ding, Daixin, Jiayue Huang, Jelmer Westra, et al.. (2021). Immediate post-procedural functional assessment of percutaneous coronary intervention: current evidence and future directions. European Heart Journal. 42(27). 2695–2707. 34 indexed citations
11.
Li, Long, Changdong Guan, Shuai Meng, et al.. (2020). Short- and long-term functional results following drug-coated balloons versus drug- eluting stents in small coronary vessels: The RESTORE quantitative flow ratio study. International Journal of Cardiology. 327. 45–51. 10 indexed citations
12.
Zhao, Xueyan, Jianxin Li, Xiaofang Tang, et al.. (2020). D-dimer as a thrombus biomarker for predicting 2-year mortality after percutaneous coronary intervention. Therapeutic Advances in Chronic Disease. 11. 17 indexed citations
13.
Westra, Jelmer, Ashkan Eftekhari, Shengxian Tu, et al.. (2020). Resting distal to aortic pressure ratio and fractional flow reserve discordance affects the diagnostic performance of quantitative flow ratio: Results from an individual patient data meta‐analysis. Catheterization and Cardiovascular Interventions. 97(5). 825–832. 3 indexed citations
14.
Li, Zhigang, Bowen Fu, Sipeng Chen, et al.. (2020). Feasibility of using deep learning to detect coronary artery disease based on facial photo. European Heart Journal. 41(46). 4400–4411. 90 indexed citations
15.
Tang, Xiaofang, et al.. (2020). Association of β-Blocker Therapy at Discharge with Clinical Outcomes after Acute Coronary Syndrome in Patients without Heart Failure. Cardiovascular Therapeutics. 2020. 1–10. 7 indexed citations
16.
Jia, Sida, Changdong Guan, Jinqing Yuan, et al.. (2019). Two‐year safety evaluation of a biodegradable polymer sirolimus‐eluting stent with increased drug elution and polymer absorption kinetics in complex patient and lesion cohort. Catheterization and Cardiovascular Interventions. 95(2). 206–215. 3 indexed citations
17.
Xu, Jingjing, Ying Song, Ping Jiang, et al.. (2018). Effect of prior stroke on long‐term outcomes of percutaneous coronary interventions in Chinese patients: A large single‐center study. Catheterization and Cardiovascular Interventions. 93(2). E75–E80. 2 indexed citations
18.
Tang, Xiaofang, Yaling Han, Jiahui Zhang, et al.. (2016). CYP2C19 genotyping combined with on-clopidogrel platelet reactivity in predicting major adverse cardiovascular events in Chinese patients with percutaneous coronary intervention. Thrombosis Research. 147. 108–114. 10 indexed citations
20.
Xu, Bo, Ji‐Lin Chen, Yuejin Yang, et al.. (2008). Immediate and long-term outcomes of drug-eluting stent implantation for unprotected left main coronary artery disease: Comparison with bare-metal stent implantation. American Heart Journal. 155(3). 553–561. 30 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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