Papers

10

Total Citations

232

H-Index

6

About

Philip Dorsey is a leading urologic surgeon and researcher whose work centers on optimizing robotic-assisted surgery for prostate and kidney cancers. His major contributions lie in refining surgical techniques to improve patient outcomes, particularly in nerve-sparing radical prostatectomy and partial nephrectomy. With over 69 citations, his seminal study on vesicourethral anastomosis healing in 1,900 patients established key principles for tension-free reconstruction. Dorsey pioneered the use of real-time penile oxygen monitoring to guide delicate tissue handling during nerve-sparing procedures, and his thermal mapping of neurovascular bundles during robotic prostatectomy provided critical insights into preventing heat-related nerve damage. He also advanced renal preservation through retrograde intrarenal cooling techniques, demonstrating improved functional outcomes in solitary kidney patients. Notably, Dorsey was among the first to apply crowdsourcing for quantitative assessment of surgical performance, a novel approach that has gained traction in surgical education. His work on ureteral stenting for large median lobes and biomechanical foundations for continence recovery further underscores his commitment to reducing complications and enhancing recovery. With over 230 total citations, Dorsey’s research has directly shaped modern robotic urologic practice, making him a key figure in the field.

Research Focus

Key Achievements

6
H-Index
10
Papers
232
Total Citations
23
Avg Citations/Paper
🏆 Most Cited Paper
Optimizing Vesicourethral Anastomosis Healing After Robot-Assisted Laparoscopic Radical Prostatectomy: Lessons Learned from Three Techniques in 1900 Patients
69 citations · 2010
📈 Most Prolific Year: 2009 (3 Papers)
🤝 Key Collaborators: 45
🏛 Institutions: NewYork–Presbyterian Hospital, Tulane University, Cornell University, University of New Orleans

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago