Papers

8

Total Citations

701

H-Index

7

About

Diego I. Ramos-Valadez is a colorectal surgeon and researcher whose work has been instrumental in advancing the field of robotic-assisted laparoscopic surgery (RALS) for complex colorectal procedures. His research focuses on minimally invasive surgical techniques, particularly the application of robotic platforms to rectal, colonic, and pelvic surgeries where precision and dexterity are paramount. Ramos-Valadez's most influential contribution — a 2010 study on the learning curve for robotic-assisted colorectal surgery — has garnered an impressive 429 citations, establishing foundational knowledge about how surgeons acquire proficiency in this emerging technique. His comparative analyses across laparoscopic, hand-assisted, and robotic approaches have helped clinicians make evidence-based decisions about surgical modalities, while his pioneering work on robotic restorative proctocolectomy with ileal J pouch-anal anastomosis for ulcerative colitis patients has demonstrated the feasibility of applying robotics to some of surgery's most technically demanding procedures. Beyond established techniques, Ramos-Valadez has explored innovative frontiers including robotic single-incision laparoscopy and salvage procedures for complex recurrent conditions. Through his combined body of work — totaling hundreds of citations — he has helped legitimize robotic colorectal surgery as a credible, reproducible surgical discipline and provided the literature necessary to guide its continued adoption worldwide.

Research Focus

Key Achievements

7
H-Index
8
Papers
701
Total Citations
88
Avg Citations/Paper
🏆 Most Cited Paper
Learning curve for robotic-assisted laparoscopic colorectal surgery
429 citations · 2010
📈 Most Prolific Year: 2010 (5 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: The University of Texas Health Science Center at Houston, Colorectal Surgical Associates, The University of Texas at Austin

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago