Weiming Yue

Qilu Hospital of Shandong University

Papers

3

Total Citations

38

H-Index

3

About

Weiming Yue is a thoracic surgery researcher whose work centers on minimally invasive surgical techniques, particularly robotic-assisted thoracic surgery (RATS) and its clinical applications in lung cancer and mediastinal disease. His research has made meaningful contributions to the comparative evaluation of robotic-assisted versus video-assisted thoracoscopic surgery (VATS), addressing a critical gap in the literature regarding perioperative outcomes across diverse patient populations. Yue's most impactful studies focus on how body mass index influences surgical outcomes in non-small cell lung cancer (NSCLC) patients, demonstrating that robotic-assisted lobectomy offers measurable perioperative advantages—particularly for overweight and obese patients—over conventional video-assisted approaches. His population-based analyses, employing rigorous propensity score matching methodologies, lend statistical credibility to findings that have garnered cumulative citations exceeding 35 across his top publications since 2022. His work on mediastinal masses further broadens the clinical applicability of RATS beyond lung cancer alone. For students and clinicians navigating the rapidly evolving landscape of thoracic oncology, Yue's research provides evidence-based guidance on optimizing surgical approaches for high-risk patient subgroups, ultimately contributing to improved patient safety and outcomes in thoracic cancer care.

Research Focus

Key Achievements

3
H-Index
3
Papers
38
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
Comparison of the perioperative outcomes between robotic-assisted thoracic surgery and video-assisted thoracic surgery in non-small cell lung cancer patients with different body mass index ranges
14 citations · 2022
📈 Most Prolific Year: 2022 (3 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: Qilu Hospital of Shandong University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago