Papers
25
Total Citations
304
H-Index
10
About
Helen Mohan is a surgeon-researcher whose work sits at the cutting edge of robotic surgery, with a particular focus on surgical training, performance metrics, and colorectal oncology. Her research has made significant contributions to understanding how robotic surgical skills are developed, assessed, and transferred across emerging platforms — a timely concern as new robotic systems enter clinical practice. Her 2021 snapshot study on trainee experiences of robotic surgery (55 citations) captured a pivotal moment in surgical education, while her crossover trial on console skill transferability (39 citations) offers practical guidance for training programs adapting to a rapidly evolving technological landscape. Mohan has also advanced the field through rigorous systematic reviews, including a widely cited examination of clinically relevant performance metrics in robotic surgery (26 citations) and a meta-analysis of robotic resections for diverticular disease (18 citations). Her clinical work encompasses complex colorectal procedures, including beyond total mesorectal excision for pelvic malignancy, reflecting her dual commitment to advancing both surgical technique and patient outcomes. Notably, she has also addressed surgeon wellbeing, investigating ergonomic strain in robotic versus laparoscopic approaches. With over 230 cumulative citations, Mohan is an influential voice shaping the future of robotic surgical training and practice.
Research Focus
Key Achievements
Top Papers
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- 5Preventative strategies for low anterior resection syndrome18 citations · 2023
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