Arim Jo

Yonsei University

Papers

1

Total Citations

6

H-Index

1

About

Arim Jo is a clinical anesthesiologist whose research focuses on optimizing perioperative care, particularly through the modulation of neuromuscular blockade (NMB) and its physiological effects. Her most cited work, a prospective double-blinded randomized-controlled trial from 2021, investigates the influence of deep NMB on the perioperative stress response during robot-assisted gastrectomy. This study addresses a critical gap in surgical anesthesia: while attenuating intraoperative stress is vital for patient outcomes, the specific role of NMB depth remained poorly understood. By demonstrating that deeper NMB can more effectively blunt the surgical stress response, Jo’s research provides actionable evidence for anesthetic protocols in minimally invasive surgery. With 6 citations, this work has already informed clinical practice in robotic gastrectomy, highlighting the importance of tailored neuromuscular management. Jo’s contributions bridge anesthesiology and surgical oncology, offering insights that enhance patient recovery and safety. Her rigorous trial design and focus on measurable physiological endpoints underscore her commitment to evidence-based perioperative medicine, making her a rising voice in the field of anesthetic optimization for complex surgeries.

Research Focus

Key Achievements

1
H-Index
1
Papers
6
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Influence of Deep Neuromuscular Blockade on Perioperative Stress Response in Patients Undergoing Robot-Assisted Gastrectomy: A Prospective Double-Blinded Randomized-Controlled Trial
6 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Yonsei University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago