Yuka Kadomatsu

Nagoya University

Papers

7

Total Citations

30

H-Index

4

About

Dr. Yuka Kadomatsu is a pioneering thoracic surgeon whose research is reshaping the landscape of minimally invasive lung cancer surgery, with a particular focus on the comparative effectiveness of robotic-assisted thoracic surgery (RATS) versus video-assisted thoracic surgery (VATS). Her most cited work, a 2025 study comparing perioperative and postoperative outcomes for lobectomy in primary lung cancer, has already garnered 8 citations, underscoring its immediate impact on surgical practice. Dr. Kadomatsu has made significant contributions to surgical quality and safety, including developing a quality indicator for actual versus scheduled surgery time in the context of increasing robotic cases (6 citations) and investigating factors influencing intersegmental plane identification during segmentectomy using indocyanine green (5 citations). She has also advanced surgical planning through the clinical application of the Resection Process Map, a dynamic 3D simulation system that provides individualized lung deformation modeling (4 citations). Her work extends to rare and complex cases, including a report on myasthenia gravis and stiff-person syndrome improving after extended thymectomy, and robotic resection of ectopic mediastinal parathyroid adenoma. With a growing citation record and a focus on optimizing surgical outcomes, Dr. Kadomatsu is establishing herself as a leading voice in the evolution of robotic thoracic surgery.

Research Focus

Key Achievements

4
H-Index
7
Papers
30
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Lobectomy for primary lung cancer: a comparison of perioperative and postoperative outcomes between robot-assisted thoracic surgery and video-assisted thoracic surgery
8 citations · 2025
📈 Most Prolific Year: 2023 (3 Papers)
🤝 Key Collaborators: 20
🏛 Institutions: Nagoya University

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago