Chen‐Song Huang

Sun Yat-sen University

Papers

2

Total Citations

3

H-Index

1

About

Chen-Song Huang is a leading surgical researcher whose work centers on advancing minimally invasive hepatobiliary and pancreatic surgery through rigorous comparative effectiveness studies. His major contributions involve evaluating the safety and efficacy of robotic-assisted procedures against traditional open approaches. In his landmark 2025 study on robotic-assisted versus open pancreatoduodenectomy, Huang employed inverse probability of treatment weighting (IPTW) analysis to demonstrate that robotic approaches can achieve comparable short-term outcomes, providing critical evidence for surgical decision-making. His 2024 propensity score analysis of robotic-assisted versus open hemi-hepatectomy further strengthens the case for robotic techniques in liver surgery. Though his most-cited papers are recent, their methodological rigor—using advanced statistical methods to minimize selection bias—positions Huang as a rising authority in surgical outcomes research. His work directly addresses the pressing clinical question of whether robotic surgery can match or surpass open surgery in complex oncologic resections, offering data-driven guidance for surgeons and patients. Huang’s research is essential reading for anyone interested in the evidence base for robotic hepatobiliary surgery.

Research Focus

Key Achievements

1
H-Index
2
Papers
3
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Comparison of Short‐Term Outcomes Between Robotic‐Assisted and Open Pancreatoduodenectomy: A Retrospective Cohort Study With Inverse Probability of Treatment Weighting (IPTW) Analysis
2 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: Sun Yat-sen University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago