Papers

7

Total Citations

91

H-Index

5

About

Tsung-Kui Chang is a surgical oncologist whose research focuses primarily on minimally invasive and robotic-assisted techniques for colorectal cancer treatment, with particular emphasis on rectal and sigmoid cancer surgery. His most influential work, "Oncological Outcomes of Robotic-Assisted Surgery With High Dissection and Selective Ligation Technique for Sigmoid Colon and Rectal Cancer" (2020, 45 citations), challenged conventional inferior mesenteric artery ligation practices by proposing a selective approach aimed at preserving anastomotic blood flow and reducing postoperative complications — a meaningful advance in surgical technique. Chang's broader body of work systematically evaluates robotic-assisted total mesorectal excision (TME) across diverse and challenging patient populations, including elderly patients, those with prior abdominal surgeries, and individuals undergoing neoadjuvant chemoradiotherapy. His propensity score matching studies and outcome analyses have helped clarify when and for whom robotic surgery offers the greatest benefit, expanding its clinical applicability. He has also examined optimal timing between chemoradiotherapy and surgical intervention, offering practical guidance for multidisciplinary care teams. With a publication record spanning 2018 to 2021 and accumulating citations across multiple studies, Chang's contributions are shaping evidence-based standards in robotic colorectal surgery and improving outcomes for patients with locally advanced disease.

Research Focus

Key Achievements

5
H-Index
7
Papers
91
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
Oncological Outcomes of Robotic-Assisted Surgery With High Dissection and Selective Ligation Technique for Sigmoid Colon and Rectal Cancer
45 citations · 2020
📈 Most Prolific Year: 2020 (4 Papers)
🤝 Key Collaborators: 20
🏛 Institutions: Kaohsiung Medical University, Kaohsiung Medical University Chung-Ho Memorial Hospital

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago