Davide Ghinolfi

University of Pisa

Papers

4

Total Citations

46

H-Index

4

About

Davide Ghinolfi is a leading hepatobiliary surgeon whose research focuses on advancing minimally invasive liver surgery, particularly through the integration of robotic and laparoscopic techniques. His major contributions center on the learning curves and comparative outcomes of robotic versus laparoscopic liver resections (RLR vs. LLR), challenging conventional training paradigms. In a pivotal 2021 study (14 citations), Ghinolfi demonstrated that implementing a robotic liver resection program does not always require prior laparoscopic experience, reshaping surgical training strategies. His 2024 work (14 citations) further analyzed the learning curve of concomitant training in both modalities for low-to-intermediate difficulty resections, providing evidence-based guidance for surgeons. Through propensity-matched comparisons (2023, 12 citations), he has shown comparable short-term outcomes between RLR and LLR. Most notably, his 2025 study (6 citations) on very-early to early-stage hepatocellular carcinoma (BCLC 0-A) provided crucial data on recurrence and survival, confirming non-inferior oncologic results for robotic approaches. With over 46 citations across his most influential papers, Ghinolfi’s work is instrumental in establishing evidence-based pathways for adopting robotic liver surgery, ultimately expanding access to minimally invasive treatments for liver cancer patients.

Research Focus

Key Achievements

4
H-Index
4
Papers
46
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Concomitant training in robotic and laparoscopic liver resections of low-to-intermediate difficulty score: a retrospective analysis of the learning curve
14 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 22
🏛 Institutions: University of Pisa

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago