Ya-Nan Jiang

Beijing University of Chinese Medicine

Papers

2

Total Citations

27

H-Index

2

About

Ya-Nan Jiang is a pioneering pediatric surgeon whose work focuses on advancing minimally invasive surgical techniques for complex childhood cancers, particularly hepatoblastoma and neuroblastoma. Dr. Jiang’s major contributions center on demonstrating the feasibility and safety of robot-assisted laparoscopy in pediatric oncology, a field where such approaches were previously underutilized due to technical challenges. In a landmark 2019 case report, Dr. Jiang described the first robot-assisted gallbladder-preserving hepatectomy for a child with S5 hepatoblastoma, a procedure that spares the gallbladder while achieving complete tumor resection—a significant refinement over traditional partial hepatectomies. This work, cited 17 times, has helped establish robotic surgery as a viable option for preserving organ function in young patients. Another highly cited study (10 citations) reports the successful removal of stage IV neuroblastoma via robot-assisted laparoscopy, showcasing the technique’s effectiveness even in advanced disease. By systematically reviewing the literature alongside these cases, Dr. Jiang has provided critical evidence that robotic systems offer superior dexterity and visualization compared to conventional laparoscopy, potentially reducing recovery times and complications. These achievements position Dr. Jiang as a key figure in translating adult robotic surgical innovations into life-saving applications for children.

Research Focus

Key Achievements

2
H-Index
2
Papers
27
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
Robot-assisted gallbladder-preserving hepatectomy for treating S5 hepatoblastoma in a child: A case report and review of the literature
17 citations · 2019
📈 Most Prolific Year: 2019 (2 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Beijing University of Chinese Medicine

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago