Papers

4

Total Citations

42

H-Index

3

About

Toshiki Kuno is a leading researcher in minimally invasive cardiac surgery, with a focus on robotic approaches to mitral valve and coronary artery bypass procedures. His work systematically evaluates the safety and efficacy of robotic surgery compared to conventional sternotomy and mini-thoracotomy techniques. Through rigorous meta-analyses and propensity-matched studies, Kuno has demonstrated that robotic mitral valve surgery and robotic coronary artery bypass grafting (CABG) can achieve comparable or superior outcomes to non-robotic methods, including reduced morbidity and improved healthcare utilization. His 2019 meta-analysis of robotic versus conventional mitral valve surgery (17 citations) and his 2021 study on robotic CABG outcomes (16 citations) are foundational references in the field, clarifying conflicting prior evidence. Kuno’s 2021 network meta-analysis further synthesizes data across three surgical approaches, offering critical insights into the risks and benefits of each. His work has been instrumental in advancing evidence-based adoption of robotic cardiac surgery, guiding surgeons and policymakers toward safer, less invasive treatment pathways.

Research Focus

Key Achievements

3
H-Index
4
Papers
42
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Meta-analysis of propensity matched studies of robotic versus conventional mitral valve surgery
17 citations · 2019
📈 Most Prolific Year: 2021 (3 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Mount Sinai Beth Israel, Albert Einstein College of Medicine, St. Luke's University Health Network

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago