Andrea Uriel de Siena

University of Naples Federico II

Papers

2

Total Citations

34

H-Index

2

About

Andrea Uriel de Siena is a leading researcher in anesthesiology and perioperative medicine, with a focused expertise in protective mechanical ventilation and advanced intraoperative monitoring. Her work is distinguished by the innovative use of electrical impedance tomography (EIT) to guide ventilation strategies, particularly in high-risk surgical settings. In her landmark randomized controlled study, she demonstrated how EIT can optimize ventilation distribution during robotic-assisted laparoscopy with steep Trendelenburg positioning, a procedure that poses significant respiratory challenges. This highly cited work (19 citations) has provided critical evidence for personalized lung-protective strategies in minimally invasive surgery. Dr. de Siena has also made substantial contributions to the comparative effectiveness of surgical approaches, authoring a major systematic review and meta-analysis (15 citations) that rigorously evaluated intra- and post-operative complications between robot-assisted and laparoscopic gastrointestinal surgery. Her research bridges the gap between cutting-edge monitoring technology and practical clinical outcomes, offering anesthesiologists and surgeons evidence-based tools to improve patient safety. Through her integration of functional lung imaging and surgical outcomes analysis, Dr. de Siena is shaping the future of perioperative care in the era of robotic surgery.

Research Focus

Key Achievements

2
H-Index
2
Papers
34
Total Citations
17
Avg Citations/Paper
🏆 Most Cited Paper
Electric impedance tomography and protective mechanical ventilation in elective robotic-assisted laparoscopy surgery with steep Trendelenburg position: a randomized controlled study
19 citations · 2023
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: University of Naples Federico II

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago