Essa M. Bajalia
Papers
5
Total Citations
38
H-Index
4
About
Essa M. Bajalia is a researcher whose work centers on improving surgical outcomes in urologic oncology, with a particular focus on robotic-assisted partial nephrectomy (RAPN). Her major contributions include validating the Mayo Adhesive Probability (MAP) score as a reliable predictor of adherent perinephric fat during RAPN, a finding that helps surgeons anticipate surgical complexity and reduce perioperative risks. She also independently validated the Martini nomogram for predicting significant declines in estimated glomerular filtration rate after RAPN, providing clinicians with a practical tool for risk stratification. Her studies on the learning curve for RAPN and the impact of resident involvement on perioperative outcomes offer valuable insights for surgical training and patient safety. With over 38 citations across her most-cited works, Bajalia’s research has practical implications for refining surgical techniques, optimizing preoperative medication management (e.g., ACE inhibitors), and enhancing postoperative renal function preservation. Her work is particularly relevant for urologists, surgical trainees, and researchers interested in evidence-based approaches to nephron-sparing surgery.
Research Focus
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