A. Sender Liberman

McGill University, McGill University Health Centre

Papers

2

Total Citations

206

H-Index

2

About

A. Sender Liberman is a leading colorectal surgeon whose research focuses on advancing minimally invasive surgical techniques for rectal cancer, particularly through laparoscopy, robotics, and transanal approaches. His major contributions include landmark comparative studies that have shaped modern surgical practice. Liberman's 2014 analysis of novice surgeons demonstrated that robotics offers a faster learning curve and superior perioperative outcomes compared to laparoscopy in rectal cancer surgery, a work cited 113 times. His highly influential 2018 multicenter matched comparison of transanal total mesorectal excision (TA-TME) and robotic total mesorectal excision (R-TME) for mid and low-rectal adenocarcinoma, with 93 citations, provided critical evidence on resection quality between these advanced techniques. This study directly addressed the ongoing debate about optimal surgical approaches for tumors below 10 cm from the anal verge. Liberman's work has been instrumental in establishing robotic and transanal methods as viable, high-quality alternatives to traditional open surgery, helping to define best practices and training standards for minimally invasive colorectal surgery. His research continues to guide surgeons in selecting the most effective, patient-centered approaches for complex rectal cancer cases.

Research Focus

Key Achievements

2
H-Index
2
Papers
206
Total Citations
103
Avg Citations/Paper
🏆 Most Cited Paper
Simultaneous development of laparoscopy and robotics provides acceptable perioperative outcomes and shows robotics to have a faster learning curve and to be overall faster in rectal cancer surgery: analysis of novice MIS surgeon learning curves
113 citations · 2014
📈 Most Prolific Year: 2014 (1 Papers)
🤝 Key Collaborators: 15
🏛 Institutions: McGill University, McGill University Health Centre

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago