Papers
15
Total Citations
659
H-Index
11
About
Gianluca Bonitta is a surgical researcher whose work has profoundly shaped the evidence base for minimally invasive and robotic surgery across a wide spectrum of oncological and general surgical procedures. With a methodological specialty in systematic reviews and network meta-analyses — particularly Bayesian frameworks — Bonitta has systematically compared open, laparoscopic, and robotic surgical approaches across conditions including inguinal hernia, rectal cancer, pancreaticoduodenectomy, gastric cancer, pulmonary lobectomy, and bariatric surgery. His most influential contribution, a 2019 Bayesian network meta-analysis on primary inguinal hernia repair, has accumulated over 150 citations, establishing it as a key reference for surgeons navigating surgical technique selection. Complementary work on robotic inguinal hernia repair (73 citations) and robotic pancreaticoduodenectomy (70 citations) further underscores his role in rigorously evaluating emerging robotic technologies before their widespread clinical adoption. Collectively, Bonitta's publications have garnered over 625 citations, reflecting substantial influence within the surgical research community. His body of work serves as an essential resource for clinicians, trainees, and guideline developers seeking high-quality comparative evidence on surgical innovation, particularly as robotic platforms continue to transform modern operative practice.
Research Focus
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