Papers

4

Total Citations

49

H-Index

4

About

Dr. Shaoming Song is a leading surgical researcher whose work centers on the safety and efficacy of robotic and minimally invasive approaches in gastrointestinal and hepatobiliary surgery. His major contributions lie in providing high-quality, evidence-based evaluations of complex surgical techniques, particularly through systematic reviews and meta-analyses. His most impactful work, a 2022 meta-analysis on robotic distal gastrectomy for gastric cancer (30 citations), has helped clarify the clinical benefits and risks of this advanced approach. He has similarly advanced the field of pediatric surgery with a meta-analysis on robot-assisted excision of choledochal cysts (8 citations), and has explored optimal patient selection for minimally invasive pancreaticoduodenectomy (6 citations). In a notable 2024 retrospective cohort study (5 citations), Dr. Song investigated the perioperative impact of liver cirrhosis on robotic liver resection for hepatocellular carcinoma, offering critical insights for managing high-risk patients. Through his rigorous, data-driven research, Dr. Song is shaping safer, more effective surgical protocols and helping to define the future role of robotics in complex abdominal surgery.

Research Focus

Key Achievements

4
H-Index
4
Papers
49
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Clinical efficacy and safety of robotic distal gastrectomy for gastric cancer: a systematic review and meta-analysis
30 citations · 2022
📈 Most Prolific Year: 2022 (2 Papers)
🤝 Key Collaborators: 31
🏛 Institutions: Lanzhou University, Gansu Provincial Hospital, Chinese PLA General Hospital

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago