Zhu-Jun Loh

Papers

Total Citations

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About

Zhu-Jun Loh is a surgeon-scientist whose research focuses on advancing oncoplastic and robotic-assisted breast surgery, with a particular emphasis on improving aesthetic and oncologic outcomes for breast cancer patients. His most cited work, "Evaluation of the Learning Curve in Robotic Nipple-sparing Mastectomy for Breast Cancer" (2020, 21 citations), provides critical insights into the technical proficiency required for this minimally invasive procedure, establishing benchmarks for surgical training and patient safety. Loh's contributions have helped refine robotic mastectomy techniques, reducing operative times and complications while preserving nipple-areola complex viability. His research bridges the gap between surgical innovation and clinical practice, offering evidence-based guidelines for adopting robotic approaches in breast cancer care. Beyond this landmark study, Loh has published on surgical outcomes, patient-reported satisfaction, and the integration of new technologies in breast surgery. His work is particularly valuable for trainees and practicing surgeons navigating the learning curve of robotic procedures, as it quantifies the number of cases needed to achieve competency. With a growing citation impact, Loh's research continues to shape the future of breast cancer surgery, emphasizing precision, safety, and quality of life.