Bing Tang

767 total citations
35 papers, 551 citations indexed

About

Bing Tang is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Molecular Biology. According to data from OpenAlex, Bing Tang has authored 35 papers receiving a total of 551 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cardiology and Cardiovascular Medicine, 12 papers in Surgery and 6 papers in Molecular Biology. Recurrent topics in Bing Tang's work include Cardiomyopathy and Myosin Studies (9 papers), Cardiovascular Function and Risk Factors (8 papers) and Cardiac Structural Anomalies and Repair (5 papers). Bing Tang is often cited by papers focused on Cardiomyopathy and Myosin Studies (9 papers), Cardiovascular Function and Risk Factors (8 papers) and Cardiac Structural Anomalies and Repair (5 papers). Bing Tang collaborates with scholars based in China, United States and Switzerland. Bing Tang's co-authors include Yongjian Yang, Dachun Yang, Shuangtao Ma, Zhongkai Wu, Jianping Yao, Guangxian Chen, Mengya Liang, Xiaohua Su, Hao Cui and Jingsong Chen and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Free Radical Biology and Medicine and Journal of Thoracic and Cardiovascular Surgery.

In The Last Decade

Bing Tang

35 papers receiving 543 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bing Tang China 13 218 177 97 88 74 35 551
Luosha Zhao China 14 162 0.7× 226 1.3× 80 0.8× 58 0.7× 52 0.7× 37 514
Gongchang Guan China 15 170 0.8× 233 1.3× 66 0.7× 38 0.4× 112 1.5× 38 627
Marjut Louhelainen Finland 15 203 0.9× 307 1.7× 61 0.6× 55 0.6× 63 0.9× 20 698
Rogelio A. Machado Argentina 7 193 0.9× 130 0.7× 79 0.8× 52 0.6× 68 0.9× 18 535
Ewa Szahidewicz-Krupska Poland 13 174 0.8× 109 0.6× 63 0.6× 61 0.7× 76 1.0× 31 557
Changan Yu China 14 118 0.5× 137 0.8× 43 0.4× 53 0.6× 106 1.4× 32 487
George J. Miller United Kingdom 16 153 0.7× 206 1.2× 145 1.5× 40 0.5× 74 1.0× 17 826
Zhen-Zhou Zhang China 15 174 0.8× 168 0.9× 187 1.9× 51 0.6× 50 0.7× 18 601
Xiao Han China 17 126 0.6× 273 1.5× 67 0.7× 66 0.8× 65 0.9× 47 658
Volkan Sözer Türkiye 14 75 0.3× 165 0.9× 72 0.7× 72 0.8× 107 1.4× 35 540

Countries citing papers authored by Bing Tang

Since Specialization
Citations

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

Fields of papers citing papers by Bing Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bing Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Bing Tang. A scholar is included among the top collaborators of Bing 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 Bing Tang. Bing Tang 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.
Yu, Jianbo, Jinwei Zhang, Shengwei Wang, et al.. (2023). Prevalence of Coronary Artery Disease in Patients Undergoing Valvular Heart Surgery. The Heart Surgery Forum. 26(2). E141–E147. 2 indexed citations
2.
Hou, Lei, Jinyuan Zhang, Yajing Liu, et al.. (2021). MitoQ alleviates LPS-mediated acute lung injury through regulating Nrf2/Drp1 pathway. Free Radical Biology and Medicine. 165. 219–228. 79 indexed citations
3.
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Tang, Bing, et al.. (2020). Changes in left atrial function, left ventricle remodeling, and fibrosis after septal myectomy for obstructive hypertrophic cardiomyopathy. Journal of Thoracic and Cardiovascular Surgery. 163(5). 1828–1834.e4. 18 indexed citations
5.
Wang, Qiang, Yi Yang, Yi Yang, et al.. (2019). Dietary Menthol Attenuates Inflammation and Cardiac Remodeling After Myocardial Infarction via the Transient Receptor Potential Melastatin 8. American Journal of Hypertension. 33(3). 223–233. 13 indexed citations
6.
Wang, Shengwei, Shengwei Wang, Hao Cui, et al.. (2019). Effect of Septal Myectomy on Obstructive Sleep Apnoea Syndrome in Patients With Hypertrophic Obstructive Cardiomyopathy. Heart Lung and Circulation. 29(9). 1366–1374. 4 indexed citations
7.
8.
Wang, Shengwei, Hao Cui, Bing Tang, et al.. (2019). Mid‐term outcomes of simultaneous coronary artery bypass graft surgery and septal myectomy in patients with hypertrophic obstructive cardiomyopathy: A case‐controlled study. Journal of Cardiac Surgery. 34(3). 103–109. 5 indexed citations
9.
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11.
Cui, Hao, Jizheng Wang, Ce Zhang, et al.. (2018). Mutation profile of FLNC gene and its prognostic relevance in patients with hypertrophic cardiomyopathy. Molecular Genetics & Genomic Medicine. 6(6). 1104–1113. 24 indexed citations
12.
Tang, Bing, Yunhu Song, Hao Cui, et al.. (2018). Prognosis of adult obstructive hypertrophic cardiomyopathy patients with different morphological types after surgical myectomy†. European Journal of Cardio-Thoracic Surgery. 54(2). 310–317. 10 indexed citations
13.
Wang, Qiang, Yan Zhang, Dachun Yang, et al.. (2014). Intermittent cold stress enhances features of atherosclerotic plaque instability in apolipoprotein E-deficient mice. Molecular Medicine Reports. 10(4). 1679–1684. 11 indexed citations
14.
Zhang, Yan, Qiang Wang, Dachun Yang, et al.. (2014). Expression of mammalian target of rapamycin in atherosclerotic plaques is decreased under diabetic conditions: A mechanism for rapamycin resistance. Molecular Medicine Reports. 9(6). 2388–2392. 3 indexed citations
15.
Tang, Bing, Guangxian Chen, Mengya Liang, Jianping Yao, & Zhongkai Wu. (2014). Ellagic acid prevents monocrotaline-induced pulmonary artery hypertension via inhibiting NLRP3 inflammasome activation in rats. International Journal of Cardiology. 180. 134–141. 82 indexed citations
16.
Zhu, Jun, Xiaohua Su, Gang Li, et al.. (2014). Systematic review/Meta-analysis The incidence of acute myocardial infarction in relation to overweight and obesity: a meta-analysis. Archives of Medical Science. 5(5). 855–862. 69 indexed citations
17.
Ma, Shuangtao, et al.. (2012). Inhibition of uncoupling protein 2 with genipin exacerbates palmitate-induced hepatic steatosis. Lipids in Health and Disease. 11(1). 154–154. 21 indexed citations
18.
Ma, Shuangtao, Dachun Yang, De Li, Bing Tang, & Yongjian Yang. (2011). Oleic acid induces smooth muscle foam cell formation and enhances atherosclerotic lesion development via CD36. Lipids in Health and Disease. 10(1). 53–53. 45 indexed citations
19.
Yang, Dachun, Shuangtao Ma, Yihua Chen, et al.. (2010). Imbalance of Matrix Metalloproteinases/Tissue Inhibitor of Metalloproteinase-1 and Loss of Fibronectin Expression in Patients with Congestive Heart Failure. Cardiology. 116(2). 133–141. 17 indexed citations
20.
Zhang, Shuzhong, et al.. (2004). [Mutation detection of PKD2 gene in Chinese by denaturing high-performance liquid chromatograph].. PubMed. 21(3). 211–4. 4 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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