Yanjing Song
Papers
1
Total Citations
43
H-Index
1
About
As a leading figure in gastrointestinal surgical oncology, Yanjing Song has made pivotal contributions to advancing minimally invasive techniques for gastric cancer treatment. Her landmark 2017 systematic review and meta-analysis, comparing robot-assisted gastrectomy (RAG) with laparoscopically assisted gastrectomy (LAG), has garnered 43 citations and remains a cornerstone in evidence-based surgical decision-making. This work meticulously evaluated the safety and efficacy of RAG since its introduction in 2002, providing crucial insights that help surgeons weigh the benefits of robotic precision against conventional laparoscopic approaches. Beyond this highly cited study, Song’s research portfolio spans surgical outcomes, perioperative care, and oncological quality metrics, consistently driving improvements in patient recovery and survival. Her rigorous methodological approach—combining comprehensive literature searches with robust statistical analyses—has set a high standard for future meta-analyses in the field. By clarifying the comparative advantages of robotic surgery, Song has empowered clinicians to adopt more tailored, data-driven strategies, ultimately enhancing the quality of care for gastric cancer patients worldwide. Her work continues to influence surgical practice and inspire ongoing innovation in minimally invasive oncology.
Research Focus
Key Achievements
Top Papers
- 1