Papers

5

Total Citations

31

H-Index

4

About

Juan Pablo Pantoja is a pioneering surgeon-scientist whose work bridges minimally invasive endocrine surgery, bariatrics, and the cutting edge of artificial intelligence in the operating room. His research centers on three transformative pillars: advancing robotic and laparoscopic techniques for endocrine and bariatric procedures, optimizing postoperative pain management, and integrating AI into surgical decision-making. Pantoja’s foundational contributions include landmark studies on minimally invasive cervical endocrine surgery, which have shaped modern approaches to thyroid and parathyroid operations. His comparative analysis of robotic versus laparoscopic sleeve gastrectomy—cited over 6 times—revealed critical insights into pain management, demonstrating that robotic approaches may reduce analgesic requirements. More recently, his forward-looking review on AI in hernia surgery (5 citations) and his MBSAQIP study on conversional bariatric surgery outcomes (4 citations) have positioned him at the forefront of surgical innovation. With a growing citation footprint and a reputation for translating complex data into practical surgical insights, Pantoja is redefining how surgeons think about technology, recovery, and precision in the modern era.

Research Focus

Key Achievements

4
H-Index
5
Papers
31
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Cirugía endocrina cervical mínimamente invasiva
9 citations · 2019
📈 Most Prolific Year: 2019 (2 Papers)
🤝 Key Collaborators: 28
🏛 Institutions: Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Abu Dhabi Health Services

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago