Mao Chen

821 citations
34 papers · 521 indexed · h-index 13

Impact in

Papers in

Mao Chen

33 papers receiving 514 citations

Peers

Mao Chen
Comparison fields: 5 of 45
  • Cardiology and Cardiovascular Medicine 402
  • Epidemiology 292
  • Pulmonary and Respiratory Medicine 210
  • Radiology, Nuclear Medicine and Imaging 67
  • Pathology and Forensic Medicine 45
Replace Francesca Nesta with:
Francesca Nesta United States
Mikkel Hougaard Denmark
Wael Shaalan United States
Ahmed Fathala Saudi Arabia
J. Kern Buckner United States
Jeetendra Patel United States
Damien Voilliot France
Jolanta Miśko Poland
High-Seng Chai United States
Laura Ratti Italy
Mao Chen relative to Francesca Nesta United States Francesca Nesta's profile →
Citations per field
00.5×10×15×20×22.7×
Francesca Nesta · 1×
Citations per year

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-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.

Border = papers with Mao Chen Line = papers co-authored together Mao Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20255
2 20253
3 20250
4 20242
5 20241
6 202314
7 20231
8
Deep Learning in Prediction of Late Major Bleeding After Transcatheter Aortic Valve Replacement
202210
9 20222
10 20215
11 202112
12 20215
13 20206
14 202015
15 201923
16 20194
17 201916
18 20189
19 201726
20 199564

About Mao Chen

Mao Chen is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Epidemiology, Pulmonary and Respiratory Medicine and Surgery, having authored 34 papers that have together received 521 indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (23 papers), Infective Endocarditis Diagnosis and Management (13 papers), Cardiac Imaging and Diagnostics (11 papers), Aortic Disease and Treatment Approaches (10 papers), Coronary Interventions and Diagnostics (10 papers), Cardiovascular Function and Risk Factors (9 papers), Retinal Imaging and Analysis (2 papers) and Antiplatelet Therapy and Cardiovascular Diseases (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (402 citations), Epidemiology (292 citations), Pulmonary and Respiratory Medicine (210 citations), Radiology, Nuclear Medicine and Imaging (67 citations) and Pathology and Forensic Medicine (45 citations). Mao Chen has collaborated with scholars based in China, Canada and Ireland. Frequent co-authors include Yuan Feng, Jianan Wang, Yongjian Wu, Zhen‐Gang Zhao, Yanbiao Liao, Tian‐Yuan Xiong, Yiming Li, Wenyu Lv, Darren Mylotte and Moyang Wang. Their work appears in journals such as JACC: Cardiovascular Interventions, EuroIntervention, Journal of Biomechanics, Catheterization and Cardiovascular Interventions and Cardiovascular Diabetology.

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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