Papers

1

Total Citations

6

H-Index

1

About

Dr. Cong Feng is a leading urologic surgeon and researcher whose work centers on advancing surgical precision in renal cancer treatment through innovative imaging technologies. His primary research areas include robotic-assisted partial nephrectomy, three-dimensional virtual imaging, and predictive surgical outcome modeling. Dr. Feng’s major contribution lies in demonstrating that 3D virtual imaging significantly improves the accuracy of SPARE nephrometry scoring, enabling surgeons to better predict surgical complexity and patient outcomes. In his most cited 2024 study, he showed that this approach outperforms conventional 2D methods in forecasting the achievement of the "Tetrafecta"—a composite of optimal surgical, functional, and oncologic outcomes. With 6 citations in a short time, this work is already shaping preoperative planning in robotic kidney surgery. Dr. Feng’s research bridges the gap between advanced visualization and clinical decision-making, offering a tangible tool to reduce complications and improve patient recovery. His findings are particularly valuable for trainees and surgeons seeking to refine their technique in complex nephron-sparing procedures.

Research Focus

Key Achievements

1
H-Index
1
Papers
6
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Using three-dimensional virtual imaging of renal masses to improve prediction of robotic-assisted partial nephrectomy Tetrafecta with SPARE score
6 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: First Affiliated Hospital of Xi'an Jiaotong University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago