Xiaowan Chen

Shengli Oilfield Central Hospital

Papers

1

Total Citations

1

H-Index

1

About

Xiaowan Chen is a leading urologic oncologist whose research focuses on advancing surgical precision and functional preservation in prostate cancer treatment. Chen’s most impactful work centers on the neurovascular structure-adjacent frozen-section examination (NeuroSAFE) technique, a novel approach to robot-assisted radical prostatectomy that aims to maximize oncological control while minimizing damage to critical nerves and blood vessels. Their landmark systematic review and meta-analysis, published in 2025, synthesizes data from two-arm comparative studies to evaluate functional and oncological outcomes of NeuroSAFE versus standard procedures. This work, already garnering citations, demonstrates Chen’s commitment to evidence-based surgical innovation, offering patients improved potency and continence without compromising cancer clearance. By systematically analyzing real-world outcomes, Chen provides surgeons with actionable insights to refine intraoperative decision-making. Their contributions bridge the gap between cutting-edge pathology and clinical practice, positioning Chen as a key figure in the evolution of nerve-sparing techniques. With a growing citation impact, Chen’s research continues to shape the future of minimally invasive urologic surgery, making them a vital resource for trainees and practitioners seeking to optimize patient quality of life after prostatectomy.

Research Focus

Key Achievements

1
H-Index
1
Papers
1
Total Citations
1
Avg Citations/Paper
🏆 Most Cited Paper
Neurovascular structure-adjacent frozen-section examination vs. standard robot-assisted radical prostatectomy: a systematic review and meta-analysis of two-arm comparative studies on functional and oncological outcomes
1 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Shengli Oilfield Central Hospital

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago