Andrew J Bernstein

University of Chicago Medical Center, University of Chicago

Papers

5

Total Citations

169

H-Index

4

About

Andrew J. Bernstein is a urologic surgeon and researcher whose work has advanced the field of robotic-assisted laparoscopic prostatectomy (RALP), particularly in optimizing surgical technique and preserving patient quality of life. His key research areas include oncologic outcomes, functional recovery, and the management of complications in prostate cancer surgery. Bernstein’s most cited paper (108 citations) systematically assessed pelvic lymphadenectomy during RALP, demonstrating that robotic approaches can achieve nodal yields comparable to open surgery while minimizing perioperative complications. He also led pivotal studies on urinary and sexual quality of life one year post-RALP, identifying preoperative predictors of severe functional decline—work that has helped guide patient counseling and surgical decision-making. Notably, his investigation into sural nerve interposition grafting during RALP (26 citations) explored nerve reconstruction as a strategy to preserve sexual function in men requiring wide neurovascular bundle excision. Additionally, he contributed multi-institutional analyses of RALP outcomes in patients with prior TURP and cost-revenue comparisons of prostatectomy approaches. Through these contributions, Bernstein has helped establish evidence-based benchmarks for functional recovery and complication management in robotic prostate surgery, directly impacting clinical practice and patient outcomes.

Research Focus

Key Achievements

4
H-Index
5
Papers
169
Total Citations
34
Avg Citations/Paper
🏆 Most Cited Paper
Pelvic Lymphadenectomy During Robot-assisted Radical Prostatectomy: Assessing Nodal Yield, Perioperative Outcomes, and Complications
108 citations · 2009
📈 Most Prolific Year: 2008 (3 Papers)
🤝 Key Collaborators: 16
🏛 Institutions: University of Chicago Medical Center, University of Chicago

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago