About

Francesco Esperto is a leading urological surgeon and researcher whose work sits at the intersection of surgical innovation, training, and patient outcomes. His primary research areas include robotic and minimally-invasive urologic surgery, surgical education, and the management of urologic cancers, particularly prostate and renal cell carcinoma. Esperto has made significant contributions by systematically evaluating and comparing surgical techniques, such as his meta-analyses comparing open versus robotic radical cystectomy (37 citations) and minimally-invasive approaches for large renal stones (24 citations). He has also pioneered work on novel robotic platforms, including the Hugo™ RAS system, and its simulation-based training for residents (21 citations). Notably, his 2020 study on the slowdown of urology residents’ learning curve during the COVID-19 emergency (130 citations) highlighted critical vulnerabilities in surgical training during global crises. With over 450 total citations across his most-cited works, Esperto’s research has shaped clinical guidelines and training curricula. His systematic reviews on managing post-prostatectomy urinary incontinence and erectile dysfunction (27 and 23 citations, respectively) further demonstrate his commitment to improving patients’ quality of life after cancer treatment. Through his collaborative work with ESRU, ESU, and ESUT, Esperto continues to advance the field of urology by bridging the gap between cutting-edge technology and effective, patient-centered care.

Research Focus

Key Achievements

13
H-Index
15
Papers
509
Total Citations
34
Avg Citations/Paper
🏆 Most Cited Paper
Slowdown of urology residents’ learning curve during the COVID‐19 emergency
130 citations · 2020
📈 Most Prolific Year: 2020 (3 Papers)
🤝 Key Collaborators: 120
🏛 Institutions: Università Campus Bio-Medico, European Association of Urology, Azienda Ospedaliero-Universitaria Careggi, Campus Bio Medico University Hospital

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago