Papers

3

Total Citations

20

H-Index

3

About

Lingling Gao is a clinical researcher whose work centers on intraoperative respiratory management and lung-protective ventilation strategies, with a particular focus on optimizing positive end-expiratory pressure (PEEP) during surgery. Her research addresses a critical challenge in anesthesiology: how to individualize ventilatory settings to improve patient outcomes, especially in high-risk populations undergoing complex procedures such as robot-assisted radical prostatectomy. Gao's most significant contributions involve developing and validating innovative, clinically practical methods for determining optimal PEEP. Her studies have explored pulse oximetry-guided FiO2 titration and electrical impedance tomography (EIT)-guided PEEP setting as accessible alternatives to more complex lung monitoring approaches. Notably, her work demonstrates that individualized PEEP strategies can meaningfully reduce intraoperative and post-anesthetic hypoxemia in elderly surgical patients — a particularly vulnerable group. Her 2023 randomized controlled trial examining whether EIT-guided individualized PEEP without recruitment maneuvers can improve oxygenation represents a clinically impactful refinement of existing protocols. With her most-cited papers accumulating citations within just one to two years of publication, Gao's research is gaining rapid recognition within the anesthesiology and critical care communities, positioning her as an emerging contributor to evidence-based perioperative respiratory care.

Research Focus

Key Achievements

3
H-Index
3
Papers
20
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Optimal positive end-expiratory pressure obtained with titration of a fraction of inspiratory oxygen: a randomized controlled clinical trial
7 citations · 2023
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Shanghai Medical College of Fudan University, Fudan University Shanghai Cancer Center

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 3 days ago