Hueylan Chern

University of California, San Francisco

Papers

18

Total Citations

206

H-Index

8

About

Hueylan Chern is a surgeon-educator whose research sits at the intersection of robotic surgery and surgical training, with a particular focus on designing and implementing comprehensive curricula that prepare the next generation of surgeons for the robotic operating room. Her most-cited work, "Current robotic curricula for surgery residents" (2017, 41 citations), identified critical gaps in cognitive and psychomotor training, laying the groundwork for her landmark 2021 paper "Transforming Surgical Education through a Resident Robotic Curriculum" (39 citations), which offered a systematic, institutionally tested framework for robotic surgical education. Chern has also explored the unique pedagogical challenges of teaching in robotic environments, including how surgeons process visual information without haptic feedback, and extended her educational work to medical students through feasibility studies of simulation-based robotic training. On the clinical side, she has contributed meaningfully to minimally invasive colorectal surgery, including robotic transanal excision of rectal lesions and early investigations into single-port robotic colectomy. With over 170 cumulative citations and research spanning curriculum design, observational learning, and emerging surgical platforms, Chern has established herself as a leading voice in the evolving landscape of surgical education and robotic innovation.

Research Focus

Key Achievements

8
H-Index
18
Papers
206
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Current robotic curricula for surgery residents: A need for additional cognitive and psychomotor focus
41 citations · 2017
📈 Most Prolific Year: 2022 (5 Papers)
🤝 Key Collaborators: 34
🏛 Institutions: University of California, San Francisco

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago