About

Madhu Ragupathi is a pioneering surgical researcher whose work has significantly advanced the field of minimally invasive colorectal surgery, with a particular focus on robotic-assisted laparoscopic techniques. Operating at the intersection of surgical innovation and clinical outcomes research, Ragupathi has been instrumental in establishing the evidence base for robotic surgery as a viable and superior alternative to conventional approaches in colorectal procedures. His most influential contribution, a 2010 study on the learning curve for robotic-assisted laparoscopic colorectal surgery, has garnered an impressive 429 citations, making it a foundational reference for surgeons adopting robotic platforms. This landmark work provided critical insights into the proficiency trajectory required for safe implementation of robotic rectal and rectosigmoid resections. His subsequent three-arm comparative analysis (69 citations) further validated robotic surgery's standing among minimally invasive modalities. Ragupathi also broke new ground in niche applications, including robotic single-incision laparoscopic surgery, salvage rectopexy for complex pouch complications, and robotic management of iatrogenic colonic perforations. His practical contributions extend beyond clinical research to program development, having authored guidance on designing institutional robotic colorectal programs. Collectively, his work has helped shape modern surgical training and practice standards worldwide.

Research Focus

Key Achievements

6
H-Index
7
Papers
631
Total Citations
90
Avg Citations/Paper
🏆 Most Cited Paper
Learning curve for robotic-assisted laparoscopic colorectal surgery
429 citations · 2010
📈 Most Prolific Year: 2010 (4 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: The University of Texas Health Science Center at Houston, The University of Texas at Austin, Colorectal Surgical Associates

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago