Papers

6

Total Citations

100

H-Index

5

About

Neil J. Kocher is a urologic surgeon and researcher whose work centers on improving surgical outcomes in robotic and minimally invasive urologic oncology. His primary research areas include the prediction and mitigation of complications after robotic partial nephrectomy and robotic prostatectomy, as well as the anatomic and patient-specific factors that influence surgical morbidity. Kocher’s most impactful contributions include the development of predictive models for postoperative complications, such as a preoperative nomogram to forecast major adverse events after robot-assisted partial nephrectomy, and studies demonstrating how tumor complexity—quantified by nephrometry score—correlates with prolonged warm ischemia time. His work on predicting morbidity after robotic partial nephrectomy, which accounts for tumor, environmental, and patient-related factors, has garnered 34 citations, reflecting its clinical relevance. Beyond these core contributions, Kocher has reported on rare but significant urologic complications, including endoscopic closure of rectovesical fistulae, synchronous primary renal lymphoma and renal cell carcinoma, and incarcerated trocar-site hernias. These case reports highlight his commitment to documenting and addressing uncommon surgical challenges. Through his research, Kocher provides evidence-based tools that help surgeons anticipate risk, refine technique, and improve patient safety in robotic urologic surgery.

Research Focus

Key Achievements

5
H-Index
6
Papers
100
Total Citations
17
Avg Citations/Paper
🏆 Most Cited Paper
Predicting morbidity after robotic partial nephrectomy: The effect of tumor, environment, and patient-related factors
34 citations · 2018
📈 Most Prolific Year: 2017 (2 Papers)
🤝 Key Collaborators: 42
🏛 Institutions: Penn State Milton S. Hershey Medical Center, Fox Chase Cancer Center, Cleveland Clinic

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago