Kai Siang Chan
Papers
8
Total Citations
194
H-Index
6
About
Dr. Kai Siang Chan is a rising surgical researcher whose work centers on the learning curves, feasibility, and educational quality of minimally invasive surgical techniques, particularly in gastrointestinal and hepatopancreatobiliary oncology. His major contributions include a landmark systematic review on the learning curve for laparoscopic and robotic pancreas resections, which has garnered over 100 citations, establishing a critical benchmark for surgical training and credentialing. He has further advanced this field with meta-analyses on the learning curves for total and distal gastrectomy, as well as minimally invasive esophagectomy, providing pooled data that guides safe adoption of these complex procedures. Dr. Chan has also explored the patient perspective, conducting a study on awareness and attitudes toward robotic surgery in Singapore, and has critically evaluated the educational value of surgical videos on YouTube, assessing content on major laparoscopic liver resections and distal pancreatectomies. His recent work on the feasibility of minimally invasive multivisceral resection for T4b rectal cancer demonstrates his commitment to expanding the boundaries of safe, minimally invasive surgery. With a growing citation count and a focus on both technical proficiency and patient education, Dr. Chan is shaping the future of surgical training and practice.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6
- 7
- 8