Wei Cui

1.0k citations
44 papers · 725 · h-index 13

Impact in

    • Cardiovascular Function and Risk Factors
    • Cardiac Valve Diseases and Treatments
    • Heart Failure Treatment and Management
    • Acute Myocardial Infarction Research
  • Epidemiology top 10%
    • Congenital Heart Disease Studies

Papers in

Wei Cui

37 papers receiving 700 citations

Peers

Wei Cui
Comparison fields: 5 of 75
  • Cardiology and Cardiovascular Medicine 379
  • Epidemiology 216
  • Pulmonary and Respiratory Medicine 157
  • Complementary and alternative medicine 33
  • Neurology 24
Replace Takeshi Tohyama with:
Takeshi Tohyama Japan
Ming-Fong Chen Taiwan
Jean‐Christophe Eicher France
Ying Tung Sia Canada
Sophie Motte Belgium
Peter Held Sweden
Makiko Miyata Japan
Yuta Sato Japan
Ibrahim R. Hanna United States
Chun‐Tai Mao Taiwan
Wei Cui relative to Takeshi Tohyama Japan Takeshi Tohyama's profile →
Citations per field
00.5×5×10×15.5×
Takeshi Tohyama · 1×
Citations per year

Countries citing papers authored by Wei Cui

Since Specialization
Citations

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

Fields of papers citing papers by Wei Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Wei Cui, 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 Wei Cui Line = papers co-authored together Wei Cui links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200796
2 200784
3 200381
4 200679
5 201165
6 200749
7 200842
8 201029
9 201825
10 201420
11 200919
12 201617
13 201014
14 202211
15 202210
16 20089
17 20179
18 20227
19 20207
20 20226

About Wei Cui

Wei Cui is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Epidemiology, Surgery and Oncology, having authored 44 papers that have together received 725 indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (8 papers), Congenital Heart Disease Studies (7 papers), Blood Pressure and Hypertension Studies (5 papers), Cardiac Arrhythmias and Treatments (5 papers), Heart Failure Treatment and Management (4 papers), Coronary Artery Anomalies (3 papers), Cardiovascular Health and Disease Prevention (3 papers) and Hemodynamic Monitoring and Therapy (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (379 citations), Epidemiology (216 citations), Pulmonary and Respiratory Medicine (157 citations), Complementary and alternative medicine (33 citations) and Neurology (24 citations). Wei Cui has collaborated with scholars based in China, United States and Japan. Frequent co-authors include David A. Roberson, Bettina F. Cuneo, Zhen Chen, Zhen Chen, Lissa Sugeng, Saroja Bharati, Dhaval Patel, Roberto Miguel Lang, Lynn Weinert and Katheryn E. Gambetta. Their work appears in journals such as Journal of the American Society of Echocardiography, Journal of Clinical Hypertension, Annals of Medicine, BMC Cardiovascular Disorders and Cardiovascular Drugs and Therapy.

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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