Muhammad Uneeb

Shifa Tameer-e-Millat University

Papers

2

Total Citations

10

H-Index

2

About

Muhammad Uneeb is a rising surgical outcomes researcher whose work centers on comparative effectiveness in minimally invasive thoracic and upper gastrointestinal surgery. His primary contributions involve rigorous meta-analyses that evaluate robotic-assisted versus video-assisted thoracoscopic surgery (VATS) for non–small cell lung cancer, as well as robotic versus laparoscopic techniques for GERD. In his most cited paper (2025, 8 citations), Uneeb conducted a GRADE-assessed systematic review and meta-analysis of randomized controlled trials, demonstrating that robotic-assisted lobectomy offers comparable surgical quality and oncologic outcomes to VATS, with potential advantages in perioperative safety. His second major work (2025, 2 citations) examined da Vinci-assisted versus laparoscopic Nissen fundoplication, finding no significant differences in patient-reported outcomes or dysphagia but highlighting a lower long-term failure rate with the robotic approach. Though early in his career, Uneeb’s methodologically rigorous syntheses are already informing surgical decision-making and guideline development. His focus on patient-centered endpoints and long-term outcomes positions him as a valuable voice in the evidence-based debate over robotic surgery’s role, making his work essential reading for clinicians and researchers evaluating new technologies in thoracic and foregut surgery.

Research Focus

Key Achievements

2
H-Index
2
Papers
10
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Robotic-assisted vs video-assisted thoracoscopic lobectomy for non–small cell lung cancer: a GRADE-assessed systematic review and meta-analysis of randomized controlled trials on surgical quality, perioperative, and oncologic outcomes
8 citations · 2025
📈 Most Prolific Year: 2025 (2 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Shifa Tameer-e-Millat University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago