Yi‐Chun Liu

National Yang Ming Chiao Tung University

Papers

3

Total Citations

56

H-Index

3

About

Yi-Chun Liu is a surgeon-researcher whose work sits at the intersection of robotic-assisted surgery, minimally invasive oncology, and enhanced recovery protocols. With a focused body of research spanning colorectal and head and neck cancers, Liu has made meaningful contributions to understanding how emerging surgical technologies can improve patient outcomes. Liu's most influential work examines the integration of robotic-assisted surgery with Enhanced Recovery After Surgery (ERAS) programs in colorectal procedures. A 2022 retrospective case-control study (25 citations) provided critical benchmarks for the robotic colorectal learning curve under ERAS protocols, offering practical guidance for surgeons adopting this approach. Building on this foundation, a 2025 propensity-matched investigation (19 citations) demonstrated that robotic-assisted colon cancer surgery yields faster recovery and reduced postoperative pain compared to conventional laparoscopy — findings with direct clinical implications for the approximately 60% of colorectal cancer patients presenting with colon-specific disease. Beyond colorectal surgery, Liu has contributed to transoral robotic surgery (TORS) for pharyngeal and laryngeal cancers, with a prospective medium-term study (12 citations) examining neoadjuvant chemotherapy integration, adjuvant radiation sparing, and long-term oncologic and functional outcomes. Collectively, Liu's research advances the evidence base for robotic surgical platforms across multiple cancer specialties.

Research Focus

Key Achievements

3
H-Index
3
Papers
56
Total Citations
19
Avg Citations/Paper
🏆 Most Cited Paper
Learning curve and surgical outcome of robotic assisted colorectal surgery with ERAS program
25 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 17
🏛 Institutions: National Yang Ming Chiao Tung University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago