Papers
68
Total Citations
933
H-Index
16
About
Jim Khan is a pioneering colorectal and robotic surgeon whose research has fundamentally shaped minimally invasive surgical practice. His work spans robotic and laparoscopic colorectal surgery, surgical training, and the application of artificial intelligence in predicting patient outcomes — a breadth that reflects both clinical depth and forward-thinking innovation. Khan's most influential contribution, a 2022 World Society of Emergency Surgery position paper on robotic surgery in emergency settings (136 citations), helped establish international consensus on one of the field's most contested frontiers. His early investigation into robotic rectal resections (79 citations) demonstrated that prior laparoscopic experience can substantially compress the robotic learning curve — a finding with significant implications for surgical training programmes, a topic he has continued to address directly. His extensive work on complete mesocolic excision using robotic platforms has helped legitimise a technically demanding procedure in minimally invasive settings, while his MIRCAST study has shed light on anastomotic technique in right hemicolectomy. Beyond the operating theatre, Khan has explored ambulatory colectomy protocols and harnessed AI to predict surgical outcomes across thousands of colorectal cancer patients. With over 475 citations across his most prominent works, his research consistently bridges technical innovation with patient-centred outcomes.
Research Focus
Key Achievements
Top Papers
- 1Robotic surgery in emergency setting: 2021 WSES position paper136 citations · 2022
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- 5Ambulatory laparoscopic colectomies: a systematic review34 citations · 2023
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- 7The current status of robotic colorectal surgery training programmes33 citations · 2022
- 8Advantages of using a robotic stapler in rectal cancer surgery30 citations · 2019
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