Papers
1
Total Citations
4
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1
About
Liang Ma is a surgical oncologist whose research focuses on improving outcomes in gastric cancer surgery, particularly through the application of robotic-assisted techniques. His most-cited work, "Construction and validation of a nomogram prediction model for the occurrence of complications in patients following robotic radical surgery for gastric cancer" (2025), represents a significant contribution to precision medicine in oncology. By developing and validating a clinical prediction tool, Ma has addressed a critical gap in postoperative care—enabling surgeons to identify high-risk patients before complications arise. This nomogram model has already garnered early attention with 4 citations, signaling its potential for widespread clinical adoption. Ma’s research sits at the intersection of surgical innovation and data-driven risk stratification, aiming to reduce morbidity and enhance recovery in complex robotic procedures. His work is particularly valuable for trainees and clinicians seeking to integrate predictive analytics into surgical decision-making. As robotic surgery continues to expand in gastrointestinal oncology, Ma’s contributions offer a practical framework for safer, more personalized patient management.
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