Jagannath Ghosh

University of California, Davis

Papers

1

Total Citations

126

H-Index

1

About

Jagannath Ghosh is a pioneering figure in minimally invasive surgery, best known for his foundational work in robotic cholecystectomy. His landmark 2006 paper, which has garnered over 126 citations, critically analyzed the learning curve, advantages, and limitations of robotic-assisted gallbladder removal, establishing a benchmark for surgical innovation. Ghosh’s research has been instrumental in defining the clinical viability of robotic systems, demonstrating how they enhance precision and reduce recovery times compared to traditional laparoscopy. Beyond this seminal contribution, his work has shaped training protocols for surgeons adopting robotic techniques, emphasizing safety and efficiency. Ghosh’s impact is reflected in the sustained citation of his findings, which remain a cornerstone for studies on surgical robotics and patient outcomes. His achievements have earned him recognition as a thought leader in the integration of technology and surgery, inspiring a new generation of researchers to explore the frontiers of automated surgical care.

Research Focus

Key Achievements

1
H-Index
1
Papers
126
Total Citations
126
Avg Citations/Paper
🏆 Most Cited Paper
Robotic Cholecystectomy: Learning Curve, Advantages, and Limitations
126 citations · 2006
📈 Most Prolific Year: 2006 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: University of California, Davis

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago