About

Dr. Vignesh T. Packiam is a pioneering urologic oncologic surgeon whose research focuses on advancing minimally invasive surgical techniques, particularly in robotic and laparoscopic procedures for urologic and hepatic cancers. His most impactful work includes a landmark comparative study on robotic versus laparoscopic left lateral sectionectomy for liver resection (141 citations), which helped establish the safety and efficacy of robotic approaches in hepatobiliary surgery. Dr. Packiam has made significant contributions to the surgical management of upper tract urothelial carcinoma, demonstrating through population-based analyses that robotic nephroureterectomy offers comparable oncologic outcomes to open approaches while reducing morbidity (64 citations). His expertise extends to complex reconstructive urology, including innovative applications of robotic-assisted ileocystoplasty with Mitrofanoff appendicovesicostomy in pediatric patients. Dr. Packiam has also investigated perioperative management strategies, such as aspirin continuation during robotic partial nephrectomy, and has explored combined robotic and laparoscopic approaches for synchronous malignancies. With over 300 total citations across his publications, his work has shaped contemporary understanding of the limits and possibilities of robotic surgery in urologic oncology, earning him recognition as a leader in the field.

Research Focus

Key Achievements

6
H-Index
11
Papers
310
Total Citations
28
Avg Citations/Paper
🏆 Most Cited Paper
Minimally Invasive Liver Resection: Robotic Versus Laparoscopic Left Lateral Sectionectomy
141 citations · 2012
📈 Most Prolific Year: 2018 (3 Papers)
🤝 Key Collaborators: 48
🏛 Institutions: University of Pittsburgh Medical Center, University of Chicago, University of Chicago Medical Center, University of Iowa, Mayo Clinic in Arizona, Rutgers, The State University of New Jersey

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7
  8. 8
  9. 9
  10. 10

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago