About

James Thompson is a urological surgeon and researcher whose work has profoundly shaped the field of robotic prostate cancer surgery. His research centers on robot-assisted radical prostatectomy (RARP), surgical learning curves, advanced imaging-guided interventions, and salvage procedures following focal ablative therapies. Thompson's landmark 2013 study—now with 176 citations—demonstrated that superior oncological and quality-of-life outcomes are achievable through RARP when a surgeon commits to mastering an extensive learning curve, a finding he reinforced in a 2017 update encompassing over 2,200 consecutive cases. His widely read review of robotic surgery learning curves has become an essential reference for trainees and program directors alike. Thompson has also pioneered the integration of PSMA PET/CT imaging and radioguided surgery into robotic workflows, advancing precision lymph node management in both primary and recurrent prostate cancer settings. Additionally, his comparative studies on focal therapies—including irreversible electroporation and high-intensity focused ultrasound—have clarified when and how salvage surgery can be performed safely after treatment failure. With over 560 cumulative citations, Thompson's body of work continues to guide surgical practice and inform patient counseling across the prostate cancer treatment spectrum.

Research Focus

Key Achievements

11
H-Index
14
Papers
588
Total Citations
42
Avg Citations/Paper
🏆 Most Cited Paper
Superior Quality of Life and Improved Surgical Margins Are Achievable with Robotic Radical Prostatectomy After a Long Learning Curve: A Prospective Single-surgeon Study of 1552 Consecutive Cases
176 citations · 2013
📈 Most Prolific Year: 2017 (4 Papers)
🤝 Key Collaborators: 84
🏛 Institutions: UNSW Sydney, Garvan Institute of Medical Research, University College Hospital, Prostate Cancer Foundation of Australia, St George Hospital, University College Hospital at Westmoreland Street

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago