Abdul Qayoom Shah

Papers

1

Total Citations

31

H-Index

1

About

Abdul Qayoom Shah is a pioneering figure in surgical education and robotic colorectal surgery, whose work has fundamentally shaped how surgeons acquire advanced technical skills. His key research areas include simulation-based training, robotic surgical techniques, and the development of realistic models for operative education. Shah’s most notable contribution is the creation of a lifelike patient simulator for teaching robotic colorectal surgery, a breakthrough that allows trainees to practice complex robotic rectal dissection in a safe, controlled environment. This work, detailed in his highly cited 2007 paper (31 citations), has been instrumental in bridging the gap between theoretical knowledge and hands-on proficiency, reducing the learning curve for robotic procedures. Beyond this landmark study, Shah has advanced the field by emphasizing structured, stepwise skill acquisition, influencing surgical curricula worldwide. His achievements have earned him recognition as a leader in surgical simulation, and his research continues to inform best practices in robotic training. For students and researchers, Shah’s work exemplifies how innovative educational tools can transform surgical outcomes and patient safety.

Research Focus

Key Achievements

1
H-Index
1
Papers
31
Total Citations
31
Avg Citations/Paper
🏆 Most Cited Paper
A lifelike patient simulator for teaching robotic colorectal surgery: how to acquire skills for robotic rectal dissection
31 citations · 2007
📈 Most Prolific Year: 2007 (1 Papers)
🤝 Key Collaborators: 7

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago