Papers

3

Total Citations

131

H-Index

3

About

Dr. Hongtao Li is a leading surgical oncologist whose research focuses on advancing minimally invasive techniques for gastric cancer treatment, particularly through robotic-assisted surgery. His work has fundamentally shaped the understanding of postoperative outcomes in advanced gastric cancer (AGC) by systematically applying the Clavien–Dindo classification to compare complication profiles across surgical approaches. In his landmark 2018 study (65 citations), Dr. Li demonstrated that robotic gastrectomy reduces the severity and incidence of complications compared to laparoscopic gastrectomy for AGC, a finding reinforced by his subsequent 2019 work (24 citations) specifically comparing robotic-assisted total versus distal gastrectomy. His 2018 retrospective cohort study (42 citations) further established the feasibility and safety of robot-assisted gastrectomy (RAG) over conventional laparoscopy-assisted gastrectomy (LAG), providing critical evidence for the adoption of robotic techniques in complex gastric cancer surgery. Through rigorous propensity score-matched analyses, Dr. Li has helped surgeons better understand which patients benefit most from robotic approaches, particularly in challenging total gastrectomy procedures. His cumulative work, with over 130 citations, continues to guide clinical decision-making and surgical training in the rapidly evolving field of robotic gastric cancer surgery.

Research Focus

Key Achievements

3
H-Index
3
Papers
131
Total Citations
44
Avg Citations/Paper
🏆 Most Cited Paper
Severity and incidence of complications assessed by the Clavien–Dindo classification following robotic and laparoscopic gastrectomy for advanced gastric cancer: a retrospective and propensity score-matched study
65 citations · 2018
📈 Most Prolific Year: 2018 (2 Papers)
🤝 Key Collaborators: 23
🏛 Institutions: Lanzhou Army General Hospital, 181st Hospital of Chinese People's Liberation Army

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago