Papers

1

Total Citations

3

H-Index

1

About

Zibao Xing is a leading urological researcher whose work centers on optimizing surgical outcomes for renal cancer patients, particularly through the precise prediction of postoperative kidney function. His major contribution lies in developing robust predictive models for estimated glomerular filtration rate (eGFR) following partial and radical nephrectomy. By leveraging split renal function measured via radionuclide imaging (rGFR), his research provides surgeons with a powerful, evidence-based tool to guide the critical decision between nephron-sparing and radical surgery for complex renal tumors. This work, detailed in his highly cited 2023 study, has direct clinical implications for preserving long-term renal health and improving patient quality of life. With over 3 citations on this landmark paper alone, Xing’s research is already shaping surgical practice and informing preoperative counseling. His dedication to bridging nuclear medicine and surgical oncology marks him as an influential voice in personalized renal cancer care, offering a data-driven path to safer, more effective nephrectomy outcomes.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Predicting estimated glomerular filtration rate after partial and radical nephrectomy based on split renal function measured by radionuclide: a large-scale retrospective study
3 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: 174th hospital of the People's Liberation Army

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 10 days ago