Dai Une

1.1k citations
35 papers · 725 · h-index 16

Impact in

    • Cardiac Valve Diseases and Treatments
    • Cardiac, Anesthesia and Surgical Outcomes
    • Cardiovascular Function and Risk Factors
  • Surgery top 5%
    • Cardiac and Coronary Surgery Techniques
    • Coronary Interventions and Diagnostics

Papers in

Dai Une

35 papers receiving 698 citations

Peers

Dai Une
Comparison fields: 5 of 45
  • Cardiology and Cardiovascular Medicine 368
  • Surgery 444
  • Pulmonary and Respiratory Medicine 134
  • Epidemiology 85
  • Internal Medicine 7
Replace Tetsuji Kawata with:
Tetsuji Kawata Japan
Linda E. Foppiano United States
Matteo Ghione United Kingdom
Andrea Mangini Italy
Bertrand Aupècle France
Claudio Pragliola Italy
Andreas Rukosujew Germany
Susumu Manabe Japan
Shih‐Wa Ying United States
Yu Izawa Japan
Dai Une relative to Tetsuji Kawata Japan Tetsuji Kawata's profile →
Citations per field
00.5×10×15×21.3×
Tetsuji Kawata · 1×
Citations per year

Countries citing papers authored by Dai Une

Since Specialization
Citations

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

Fields of papers citing papers by Dai Une

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012163
2 201563
3 201458
4 201344
5 201337
6 201733
7 200431
8 201329
9 201428
10 201522
11 201720
12 202318
13 201518
14 201218
15 201416
16 201515
17 201814
18 201512
19 201411
20 201010

About Dai Une

Dai Une is a scholar working on Surgery, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Epidemiology and Biomedical Engineering, having authored 35 papers that have together received 725 indexed citations. Recurring topics across this work include Cardiac and Coronary Surgery Techniques (12 papers), Cardiac Valve Diseases and Treatments (9 papers), Mechanical Circulatory Support Devices (6 papers), Congenital Heart Disease Studies (5 papers), Pulmonary Hypertension Research and Treatments (5 papers), Cardiac Structural Anomalies and Repair (4 papers), Cardiac, Anesthesia and Surgical Outcomes (3 papers) and Aortic aneurysm repair treatments (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (368 citations), Surgery (444 citations), Pulmonary and Respiratory Medicine (134 citations), Epidemiology (85 citations) and Internal Medicine (7 citations). Dai Une has collaborated with scholars based in Japan, Canada and United States. Frequent co-authors include Marc Ruel, Steve K. Singh, Saswata Deb, Stephen E. Fremes, Eric A. Cohen, Andreas Laupacis, Tirone E. David, Shuji Shimizu, Pierre Voisine and Alexander Kulik. Their work appears in journals such as Circulation, European Journal of Cardio-Thoracic Surgery, Journal of Thoracic and Cardiovascular Surgery, Current Opinion in Cardiology and Annals of Vascular Surgery.

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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