About

Zeynep Gul is a pioneering urologic surgeon and researcher whose work centers on optimizing surgical outcomes in robotic-assisted oncology, particularly for bladder, kidney, and prostate cancers. Her most impactful contributions address two critical frontiers: reducing opioid dependence and refining anesthetic protocols. In a landmark 2020 study (23 citations), Gul demonstrated that the choice between total intravenous and volatile anesthesia during robot-assisted radical cystectomy may influence bladder cancer recurrence—a finding with profound implications for perioperative care. She further advanced postoperative recovery by showing that discharge opioids are unnecessary after radical cystectomy (2022) and by implementing a nonopioid protocol that significantly reduces narcotic use (2021, 16 citations). Gul’s multi-institutional work on partial nephrectomy in solitary kidneys (14 citations) established benchmarks for preserving renal function, while her review comparing robotic versus open cystectomy (10 citations) clarified the evidence on blood loss advantages. She also developed the PCAP model (10 citations) to predict prostate cancer at the apex, aiding surgical precision. With a growing body of work that challenges conventional practices and prioritizes patient safety, Gul is shaping the future of minimally invasive urologic surgery.

Research Focus

Key Achievements

5
H-Index
8
Papers
83
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Can anesthetics affect bladder cancer recurrence? Total intravenous versus volatile anesthesia in patients undergoing robot-assisted radical cystectomy: A single institution retrospective analysis
23 citations · 2020
📈 Most Prolific Year: 2021 (3 Papers)
🤝 Key Collaborators: 47
🏛 Institutions: Icahn School of Medicine at Mount Sinai, University of Pittsburgh, University of Pittsburgh Medical Center

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago