Mao Chen

2.3k total citations · 2 hit papers
63 papers, 1.3k citations indexed

About

Mao Chen is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology and Surgery. According to data from OpenAlex, Mao Chen has authored 63 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Cardiology and Cardiovascular Medicine, 23 papers in Epidemiology and 14 papers in Surgery. Recurrent topics in Mao Chen's work include Cardiac Valve Diseases and Treatments (39 papers), Infective Endocarditis Diagnosis and Management (21 papers) and Cardiovascular Function and Risk Factors (12 papers). Mao Chen is often cited by papers focused on Cardiac Valve Diseases and Treatments (39 papers), Infective Endocarditis Diagnosis and Management (21 papers) and Cardiovascular Function and Risk Factors (12 papers). Mao Chen collaborates with scholars based in China, United States and United Kingdom. Mao Chen's co-authors include Bernard Prendergast, Tian‐Yuan Xiong, Simon Redwood, Ross Roberts-Thomson, Maurice Enriquez‐Sarano, Sean Coffey, Jonathan R. Carapetis, Liesl Zühlke, Alex Brown and Yanbiao Liao and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Chemical Communications.

In The Last Decade

Mao Chen

54 papers receiving 1.3k citations

Hit Papers

Coronaviruses and the cardiovascular system: acute and lo... 2020 2026 2022 2024 2020 2021 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Coronaviruses and the cardiovascular system: acute and long-term implications
    2020 521 citations Tian‐Yuan Xiong, Simon Redwood et al. European Heart Journal profile →
  2. Global epidemiology of valvular heart disease
    2021 374 citations Sean Coffey, Ross Roberts-Thomson et al. Nature Reviews Cardiology profile →

Peers

Mao Chen
Homam Ibrahim United States
Dinesh Jagasia United States
Luke Wooster United States
Lee S. Nguyen France
Krister Lindmark Sweden
Riccardo M. Inciardi Italy
Hélène Beaussier France
Chirag R. Barbhaiya United States
Juan Cosı́n-Sales Spain
Homam Ibrahim United States
Mao Chen
Citations per year, relative to Mao Chen Mao Chen (= 1×) peers Homam Ibrahim

Countries citing papers authored by Mao Chen

Since Specialization
Citations

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

Fields of papers citing papers by Mao Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mao Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Mao Chen. A scholar is included among the top collaborators of Mao Chen 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 Mao Chen. Mao Chen 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.
Zhao, Zhen‐Gang, Min Yan, Weiya Li, et al.. (2025). Anatomical variations in permanent pacemaker requirement after TAVI in bicuspid anatomy. European Heart Journal - Cardiovascular Imaging. 27(2). 274–286.
2.
Huang, Fang‐Yang, Liqiang Chen, Hao Zhou, et al.. (2025). Intercellular NETwork-facilitated sarcoplasmic reticulum targeting for myocardial ischemia-reperfusion injury treatment. Science Advances. 11(7). eadr4333–eadr4333. 5 indexed citations
3.
Li, Yiming, et al.. (2025). Utilizing multimodal artificial intelligence to advance cardiovascular diseases. Precision Clinical Medicine. 8(3). pbaf016–pbaf016. 1 indexed citations
4.
Li, Yiming, Jianyong Wang, Gang Peng, et al.. (2024). Electrocardiogram-based prediction of conduction disturbances after transcatheter aortic valve replacement with convolutional neural network. European Heart Journal - Digital Health. 5(3). 219–228. 3 indexed citations
5.
Khokhar, Arif, Thomas Pilgrim, Giuliano Costa, et al.. (2024). Incidence and predictors of continued ascending aortic dilatation after TAVI in patients with bicuspid aortic stenosis. Clinical Research in Cardiology. 114(3). 375–384. 3 indexed citations
6.
7.
Bai, Lin, Yuan Feng, & Mao Chen. (2024). A very rare complication of transcatheter aortic valve replacement. European Heart Journal. 45(38). 4138–4138.
8.
Chen, Fei, et al.. (2024). Risk stratification by systemic manifestations secondary to hemodynamic disorders of patients with severe tricuspid regurgitation. BMC Cardiovascular Disorders. 24(1). 149–149. 2 indexed citations
9.
Chen, Mao, et al.. (2023). Myocardial Tissue Characterization in Danon Disease. Radiology. 307(2). e222333–e222333. 1 indexed citations
10.
Xiong, Tian‐Yuan, et al.. (2023). Concomitant aortic regurgitation predicts better left ventricular reverse remodeling after transcatheter aortic valve replacement. BMC Cardiovascular Disorders. 23(1). 1 indexed citations
11.
Zhao, Zhen‐Gang, et al.. (2023). Electromagnetic field and cardiovascular diseases: A state‐of‐the‐art review of diagnostic, therapeutic, and predictive values. The FASEB Journal. 37(10). e23142–e23142. 7 indexed citations
12.
Li, Yiming, Wei Xiong, Tian‐Yuan Xiong, et al.. (2023). Optimal treatment of asymptomatic patients with severe aortic stenosis: protocol of a prospective, multicentre, registry study. BMJ Open. 13(12). e078061–e078061.
13.
Xu, Lin, Jiafu Wei, Jiani Liu, et al.. (2022). Inspiratory muscle training improves cardiopulmonary function in patients after transcatheter aortic valve replacement: a randomized clinical trial. European Journal of Preventive Cardiology. 30(2). 191–202. 9 indexed citations
14.
Li, Xi, Xin Wei, Fei Chen, et al.. (2021). The Relationship of Mitral Annulus Shape at CT to Mitral Regurgitation after Transcatheter Aortic Valve Replacement. Radiology. 301(1). 93–102. 5 indexed citations
15.
Coffey, Sean, Ross Roberts-Thomson, Alex Brown, et al.. (2021). Global epidemiology of valvular heart disease. Nature Reviews Cardiology. 18(12). 853–864. 374 indexed citations breakdown →
16.
Wei, Xin, Wenxia Zhou, Yuan Feng, & Mao Chen. (2021). Special Aortic Chordae Tendineae Strand Causing Severe Aortic Regurgitation Treated by Transcatheter Aortic Valve Replacement. JACC: Cardiovascular Interventions. 14(19). e267–e269. 4 indexed citations
17.
18.
Xiong, Tian‐Yuan, Simon Redwood, Bernard Prendergast, & Mao Chen. (2020). Coronaviruses and the cardiovascular system: acute and long-term implications. European Heart Journal. 41(19). 1798–1800. 521 indexed citations breakdown →
19.
Xiong, Tian‐Yuan, Yanbiao Liao, Yijian Li, et al.. (2020). Effect of concomitant aortic regurgitation on early hypo‐attenuated leaflet thickening after transcatheter aortic valve replacement in patients with symptomatic severe aortic stenosis. Catheterization and Cardiovascular Interventions. 96(7). 1491–1497. 2 indexed citations
20.
Poggi, Helena, et al.. (2001). Identificación de mutaciones en el gen CFTR en pacientes chilenos con fibrosis quística. Revista médica de Chile. 129(8). 841–7. 8 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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