Papers

31

Total Citations

397

H-Index

12

About

Alireza Ghoreifi is a leading urologic oncology researcher whose work centers on optimizing surgical outcomes for upper tract urothelial carcinoma (UTUC). His major contributions stem from his central role in the ROBUUST (RObotic surgery for Upper Tract Urothelial Cancer STudy) collaborative group, where he has spearheaded multi-institutional, multinational analyses comparing open, laparoscopic, and robotic nephroureterectomy techniques. His landmark 2022 study on the “tetrafecta” analysis of robotic versus laparoscopic approaches has garnered 58 citations, while his work on risk factors for intravesical recurrence (45 citations) and comparative oncological outcomes (30 citations) have helped define best practices in minimally invasive surgery. Beyond UTUC, Ghoreifi has advanced surgical education by developing and validating the DART (Dissection Assessment for Robotic Technique) scoring tool (17 citations) and studying the link between virtual reality simulation and live surgical performance. His research on perioperative complications following immune checkpoint inhibitor therapy and surgical techniques for inferior vena cava thrombectomy further demonstrates his breadth. With over 200 cumulative citations and leadership in the ROBUUST 2.0 registry encompassing more than 1,100 patients, Ghoreifi has established himself as a pivotal figure in evidence-based, outcomes-driven urologic surgery.

Research Focus

Key Achievements

12
H-Index
31
Papers
397
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
Robotic <i>vs</i> Laparoscopic Nephroureterectomy for Upper Tract Urothelial Carcinoma: A Multicenter Propensity-Score Matched Pair “tetrafecta” Analysis (ROBUUST Collaborative Group)
58 citations · 2022
📈 Most Prolific Year: 2024 (8 Papers)
🤝 Key Collaborators: 241
🏛 Institutions: University of Southern California, Duke University, USC Norris Comprehensive Cancer Center

Top Papers

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Key Collaborators

Contact & Links

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