Papers

10

Total Citations

237

H-Index

6

About

Peiji Lu is a prominent thoracic surgeon and clinical researcher based at Shanghai Chest Hospital, whose work has significantly advanced the field of minimally invasive thoracic surgery, particularly robotic-assisted thoracic surgery (RATS) for non-small cell lung cancer (NSCLC). With a research portfolio accumulating over 230 citations, Lu has been instrumental in establishing the clinical viability and superiority of robotic surgical approaches across multiple disease stages. His most influential contributions include landmark comparative studies demonstrating that robotic-assisted lobectomy achieves outcomes equivalent or superior to both video-assisted thoracoscopic surgery (VATS) and open thoracotomy, even in challenging locally advanced N2-stage disease. Notably, his multicenter randomized controlled trials — a relatively rare methodological achievement in surgical research — provided robust evidence that RATS reduces perioperative complications while preserving long-term survival outcomes in clinical N2 NSCLC patients. His series of 389 and 1,075 consecutive robotic lobectomy cases represented landmark datasets for Chinese thoracic surgery. Lu has also pioneered frontier applications of surgical robotics, including three-arm robotic techniques for advanced lung cancer and a groundbreaking ultra-remote robotic lobectomy performed between Shanghai and Kashi Prefecture. His body of work positions him as a leading voice in the global evolution of robotic thoracic oncology.

Research Focus

Key Achievements

6
H-Index
10
Papers
237
Total Citations
24
Avg Citations/Paper
🏆 Most Cited Paper
Comparison of robotic-assisted lobectomy with video-assisted thoracic surgery for stage IIB–IIIA non-small cell lung cancer
74 citations · 2019
📈 Most Prolific Year: 2019 (5 Papers)
🤝 Key Collaborators: 33
🏛 Institutions: Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai Clinical Research Center

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago