Papers
1
Total Citations
4
H-Index
1
About
Wanqi Fan is a clinical researcher focused on advancing surgical oncology, particularly in the field of gastric cancer treatment. Her primary research areas include robotic-assisted surgery, postoperative complication prediction, and the development of clinical decision-making tools. Fan’s most notable contribution is the construction and validation of a nomogram prediction model for complications following robotic radical gastrectomy, a pioneering work that enhances preoperative risk stratification and personalized patient counseling. This study, published in 2025, has already garnered 4 citations, reflecting its early recognition as a valuable resource for surgeons seeking to improve outcomes in minimally invasive gastric cancer surgery. By integrating clinical variables into a practical predictive tool, Fan’s work bridges the gap between surgical innovation and patient safety, offering a tangible method to reduce morbidity. Her research is particularly impactful for students and clinicians interested in the intersection of robotic technology and evidence-based surgical care. Fan’s dedication to refining postoperative management underscores her commitment to translating complex surgical data into actionable insights, making her a rising voice in the field of gastrointestinal oncology.
Research Focus
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Top Papers
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