Papers

8

Total Citations

319

H-Index

5

About

Dr. Bashir Al Hussein Al Awamlh is a leading urologic surgeon and researcher whose work focuses on advancing surgical techniques for bladder and prostate cancer, with a particular emphasis on robot-assisted procedures and health services research. His most impactful contributions center on understanding recurrence patterns after robot-assisted radical cystectomy (RARC) for bladder cancer, where his seminal 2015 paper (167 citations) provided critical insights into local, distant, and atypical metastases, including peritoneal carcinomatosis. Dr. Al Hussein Al Awamlh has also pioneered research on surgical safety in high-risk populations, demonstrating the feasibility of RARC in elderly patients (≥80 years) and those with prior pelvic irradiation. His work on surgical experience and quality outcomes has helped refine patient selection and procedural standards. Beyond oncology, he has investigated trends in mesh use for pelvic organ prolapse repair using Medicare data (53 citations) and explored innovative diagnostic techniques like in-office, transperineal MRI/ultrasound fusion targeted prostate biopsy. His recent research on hemostatic agent use in major urologic surgery highlights his commitment to cost-effective, evidence-based practice. With over 300 citations across his publications, Dr. Al Hussein Al Awamlh continues to shape the field of urologic oncology through rigorous outcomes research and surgical innovation.

Research Focus

Key Achievements

5
H-Index
8
Papers
319
Total Citations
40
Avg Citations/Paper
🏆 Most Cited Paper
Recurrence Patterns After Open and Robot-assisted Radical Cystectomy for Bladder Cancer
167 citations · 2015
📈 Most Prolific Year: 2015 (2 Papers)
🤝 Key Collaborators: 40
🏛 Institutions: Cornell University, Presbyterian Hospital, New York Hospital Queens, NewYork–Presbyterian Hospital, Vanderbilt University Medical Center

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7
  8. 8

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago