Xiaofang Tang
About
Xiaofang Tang is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Endocrinology, Diabetes and Metabolism.
According to data from OpenAlex, Xiaofang Tang has authored 115 papers receiving a total of 916 indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Cardiology and Cardiovascular Medicine, 62 papers in Surgery and 15 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Xiaofang Tang's work include Acute Myocardial Infarction Research (52 papers), Antiplatelet Therapy and Cardiovascular Diseases (48 papers) and Coronary Interventions and Diagnostics (40 papers). Xiaofang Tang is often cited by papers focused on Acute Myocardial Infarction Research (52 papers), Antiplatelet Therapy and Cardiovascular Diseases (48 papers) and Coronary Interventions and Diagnostics (40 papers). Xiaofang Tang collaborates with scholars based in China, United States and United Kingdom. Xiaofang Tang's co-authors include Jinqing Yuan, Bo Xu, Yuejin Yang, Jue Chen, Xueyan Zhao, Shubin Qiao, Ying Song, Pei Zhu, Jingjing Xu and Zhan Gao and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and The Journal of Clinical Endocrinology & Metabolism.
In The Last Decade
Xiaofang Tang
107 papers receiving 900 citations
Peers
Xiaofang Tang
Kazuyuki Shirai Japan
Carlo Lavalle Italy
Gerhard Kreiner Austria
Srikanth Vallurupalli United States
Nikolaos Kakouros United States
Moisés Rodríguez‐Mañero Spain
Osamu Hirono Japan
Emmanuelle Vermès France
Wen‐Chol Voon Taiwan
Deddo Moertl Austria
Citations per year, relative to Xiaofang Tang Xiaofang Tang (= 1×)
peers
Kazuyuki Shirai
Countries citing papers authored by Xiaofang Tang
Since
Specialization
Citations
This map shows the geographic impact of Xiaofang Tang'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 Xiaofang Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaofang Tang more than expected).
Fields of papers citing papers by Xiaofang Tang
Since
Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences
This network shows the impact of papers produced by Xiaofang Tang. 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 Xiaofang Tang. The network helps show where Xiaofang Tang may publish in the future.
Co-authorship network of co-authors of Xiaofang Tang
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaofang Tang. A scholar is included among the top collaborators of Xiaofang Tang 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 Xiaofang Tang. Xiaofang Tang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
1.
Zhu, Youyu, Xiaofang Tang, Yixi Zhang, et al.. (2025). A novel porous 2D carbon cathode derived from coal-based humic acid with enchanced pseudocapacitance for high-energy sodium-ion hybrid capacitors. Journal of Energy Storage. 131. 117592–117592.
2.
Tang, Xiaofang, et al.. (2024). Applying Large Language Models in Teaching Business English Writing: A Case Study of Business Proposal Writing. SHILAP Revista de lepidopterología. 181. 1052–1052.
3.
Li, Qinxue, Zheng Zhang, Jingjing Xu, et al.. (2024). The combined effect of triglyceride–glucose index and high‐sensitivity C ‐reactive protein on cardiovascular outcomes in patients with chronic coronary syndrome: A multicenter cohort study. Journal of Diabetes. 16(8). e13589–e13589.
4.
Zhang, Kexin, Jiawen Li, Yu‐Long Li, et al.. (2024). Elevated High-Sensitivity C-Reactive Protein Level Enhances the Impact of Lipoprotein(a) on Platelet Reactivity in PCI Patients Treated with Clopidogrel. Clinical and Applied Thrombosis/Hemostasis. 30. 3005462215–3005462215.
5.
Zhu, Youyu, et al.. (2024). An Engineering Porous Spherical Carbon Cathode for High-Energy Sodium-Ion Capacitor. Langmuir. 40(38). 20008–20015.
6.
Zhu, Youyu, Xiaofang Tang, Yixi Zhang, et al.. (2024). Conductive polymer-coated red phosphorus encapsulated in 3D graphene oxide aerogel for high-performance sodium-ion batteries anode. Journal of Electroanalytical Chemistry. 966. 118413–118413.
7.
Liu, Ru, Haibo Liu, Deshan Yuan, et al.. (2023). For patients with prior coronary artery bypass grafting and recurrent myocardial ischemia, percutaneous coronary intervention on bypass graft or native coronary artery?—A 5‐year follow‐up cohort study. Clinical Cardiology. 46(6). 680–688.
8.
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.
9.
Li, Jiawen, Pei Zhu, Yu‐Long Li, et al.. (2023). A novel inflammatory biomarker, high-sensitivity C-reactive protein-to-albumin ratio, is associated with 5-year outcomes in patients with type 2 diabetes who undergo percutaneous coronary intervention. Diabetology & Metabolic Syndrome. 15(1). 14–14.
10.
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.
11.
Song, Ying, Zheng Zhang, Jingjing Xu, et al.. (2023). Stress hyperglycemia ratio and long‐term prognosis in patients with acute coronary syndrome: A multicenter, nationwide study. Journal of Diabetes. 15(7). 557–568.
12.
Li, Jiawen, Pei Zhu, Jingjing Xu, et al.. (2023). Association between multiple inflammatory biomarkers and remnant cholesterol levels in patients with percutaneous coronary intervention: A large-scale real-world study. Nutrition Metabolism and Cardiovascular Diseases. 34(2). 377–386.
13.
Zhu, Youyu, Xiaofang Tang, Jianlan Zhang, et al.. (2023). Carbon nanosheet with controlled porous and disorganized structures as high-rate anode for high-energy Na-ion hybrid capacitors. Electrochimica Acta. 473. 143497–143497.
14.
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.
15.
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.
16.
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.
17.
Zhao, Xueyan, Jianxin Li, Xiaofang Tang, et al.. (2019). Prognostic Value of the PARIS Thrombotic Risk Score for 2-Year Mortality After Percutaneous Coronary Intervention. Clinical and Applied Thrombosis/Hemostasis. 25. 2873252166–2873252166.
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.
19.
Tang, Xiaofang, Jiahui Zhang, Jing Wang, et al.. (2013). Effects of coexisting polymorphisms of CYP2C19 and P2Y12 on clopidogrel responsiveness and clinical outcome in patients with acute coronary syndromes undergoing stent-based coronary intervention. Chinese Medical Journal. 126(6). 1069–1075.
20.
Hu, Mingxing, et al.. (2001). A New Robust Fundamental Matrix Estimation Based on Genetic Algorithm. UCL Discovery (University College London). 20(5). 471–486.
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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