Ling‐Chiao Song

I-Shou University

Papers

2

Total Citations

15

H-Index

2

About

Dr. Ling‐Chiao Song is a surgical outcomes researcher whose work focuses on advancing minimally invasive techniques for colorectal cancer, particularly in high-risk populations. Her major contributions center on evaluating the comparative effectiveness of robot-assisted versus laparoscopic surgery, using large-scale, real-world data to guide clinical decision-making. In a landmark 2024 study analyzing the US Nationwide Inpatient Sample, Dr. Song demonstrated that robot-assisted surgery yields superior inpatient outcomes for colorectal cancer patients aged 75 and older—a rapidly growing demographic—with findings cited 9 times for their impact on geriatric surgical care. Her 2023 investigation into morbidly obese patients further established robotic approaches as a safer alternative in this challenging group, accumulating 6 citations. By employing rigorous propensity score-matched analyses, Dr. Song provides evidence that helps surgeons tailor approaches to vulnerable patients. Her work has been recognized for its methodological strength and direct clinical relevance, making her a key voice in the ongoing debate over the value of robotic surgery. For students and researchers, Dr. Song’s research exemplifies how population-level data can refine surgical practice and improve outcomes for those most at risk.

Research Focus

Key Achievements

2
H-Index
2
Papers
15
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Outcomes of Robot-Assisted Versus Laparoscopic Surgery for Colorectal Cancer in Adults Aged 75 Years and Older: A Propensity Score–Matched Analysis of the US Nationwide Inpatient Sample
9 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: I-Shou University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
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