Mao Chen
Impact in
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- Cardiac Valve Diseases and Treatments
- Cardiovascular Function and Risk Factors
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- Infective Endocarditis Diagnosis and Management
- Congenital Heart Disease Studies
Papers in
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- Cardiac Valve Diseases and Treatments 23
- Cardiovascular Function and Risk Factors 4
- Surgery 8
- Coronary Interventions and Diagnostics 7
- Co-authors
- Yuan Feng (11 shared papers)Jianan Wang (4 shared papers)Yanbiao Liao (6 shared papers)Yiming Li (11 shared papers)Tian‐Yuan Xiong (10 shared papers)Moyang Wang (3 shared papers)Yong Peng (7 shared papers)Yongjian Wu (3 shared papers)
In The Last Decade
Mao Chen
33 papers receiving 537 citations
Peers
Comparison fields: 5 of 40
- Cardiology and Cardiovascular Medicine 386
- Epidemiology 165
- Pulmonary and Respiratory Medicine 126
- Pathology and Forensic Medicine 36
- Radiology, Nuclear Medicine and Imaging 45
Countries citing papers authored by Mao Chen
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
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-authors
The 25 scholars most cited alongside Mao Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 80 | |
| 2 | 1995 | 64 | |
| 3 | 2016 | 63 | |
| 4 | 2019 | 47 | |
| 5 | 2017 | 42 | |
| 6 | 2017 | 26 | |
| 7 | 2019 | 23 | |
| 8 | 2017 | 19 | |
| 9 | 2019 | 18 | |
| 10 | 2020 | 17 | |
| 11 | 2022 | 16 | |
| 12 | 2023 | 15 | |
| 13 | 2021 | 12 | |
| 14 | 2021 | 11 | |
| 15 | 2022 | 11 | |
| 16 | Deep Learning in Prediction of Late Major Bleeding After Transcatheter Aortic Valve Replacement | 2022 | 10 |
| 17 | 2018 | 9 | |
| 18 | 2025 | 7 | |
| 19 | 2020 | 6 | |
| 20 | 2021 | 6 |
About Mao Chen
Mao Chen is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Epidemiology, having authored 35 papers that have together received 544 indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (23 papers), Coronary Interventions and Diagnostics (7 papers), Aortic Disease and Treatment Approaches (5 papers), Cardiac Imaging and Diagnostics (5 papers), Infective Endocarditis Diagnosis and Management (4 papers), Cardiovascular Function and Risk Factors (4 papers), Retinal Imaging and Analysis (2 papers) and Medical Image Segmentation Techniques (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (386 citations), Epidemiology (165 citations), Pulmonary and Respiratory Medicine (126 citations), Pathology and Forensic Medicine (36 citations) and Radiology, Nuclear Medicine and Imaging (45 citations). Mao Chen has collaborated with scholars based in China, Canada and Ireland. Frequent co-authors include Yuan Feng, Jianan Wang, Yanbiao Liao, Yiming Li, Tian‐Yuan Xiong, Moyang Wang, Yong Peng, Yongjian Wu, Darren Mylotte and Wenyu Lv. Their work appears in journals such as JACC: Cardiovascular Interventions, EuroIntervention, Catheterization and Cardiovascular Interventions, Journal of Biomechanics and The FASEB Journal.
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.