LingLing Pan

Fudan University Shanghai Cancer Center

Papers

1

Total Citations

7

H-Index

1

About

LingLing Pan is a clinical anesthesiology researcher whose work focuses on optimizing perioperative respiratory management, particularly in elderly and high-risk surgical populations. Her most cited study, published in 2022, investigates the effect of Electrical Impedance Tomography (EIT)-guided individualized Positive End-Expiratory Pressure (PEEP) settings on reducing hypoxemia in elderly patients undergoing robot-assisted radical prostatectomy. This work demonstrates a practical, technology-driven approach to tailoring ventilation strategies, showing that individualized PEEP can significantly lower the incidence of hypoxemia in the post-anesthesia care unit. With 7 citations, this paper has already informed clinical practices in geriatric anesthesia. Pan’s research addresses a critical gap in personalized respiratory support, leveraging real-time lung imaging to improve patient outcomes. Her contributions are particularly valuable for anesthesiologists and critical care specialists seeking evidence-based methods to enhance oxygenation and reduce complications in vulnerable populations. By bridging advanced monitoring technology with bedside application, Pan advances the field toward more precise, patient-specific perioperative care.

Research Focus

Key Achievements

1
H-Index
1
Papers
7
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
[Effect of EIT-guided individualized PEEP setting on the incidence of hypoxemia in elderly patients undergoing robot-assisted radical prostatectomy].
7 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Fudan University Shanghai Cancer Center

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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