Papers

6

Total Citations

47

H-Index

5

About

Pavan Sugoor is a colorectal surgeon whose research focuses on advanced minimally invasive and robotic surgical techniques for colorectal cancers, particularly rectal cancer. Working at the forefront of surgical oncology, Sugoor has made significant contributions to the field of robotic-assisted surgery, exploring its applications in complex procedures including total mesorectal excision (TME), complete mesocolic excision, lateral pelvic node dissection, and total pelvic exenteration. His most influential work, a propensity case-matched analysis comparing robotic versus laparoscopic sphincter-preserving TME (2018, 19 citations), provided early evidence supporting the short-term advantages of robotic approaches during initial surgical learning curves. This study stands as a meaningful benchmark for institutions transitioning to robotic colorectal programs. Sugoor has also contributed valuable procedural insights through surgical video vignettes documenting complex robotic techniques — including intersphincteric resection and lateral pelvic node dissection using the da Vinci Xi platform — resources that serve as practical educational tools for surgeons globally. With a cumulative citation count reflecting growing recognition in the field, Sugoor's work collectively advances the evidence base for robotic colorectal surgery, helping refine oncological outcomes and surgical safety in the management of locally advanced rectal cancer.

Research Focus

Key Achievements

5
H-Index
6
Papers
47
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Robotic versus laparoscopic sphincter‐preserving total mesorectal excision: A propensity case‐matched analysis
19 citations · 2018
📈 Most Prolific Year: 2018 (3 Papers)
🤝 Key Collaborators: 22
🏛 Institutions: Tata Memorial Hospital, Kidwai Memorial Institute of Oncology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago