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About

Nicholas Campbell is a surgical researcher whose work focuses on improving outcomes in laparoscopic and robotic surgery, particularly in urology and nephrectomy procedures. His most cited paper, "Laparoscopic lens fogging: solving a common surgical problem in standard and robotic laparoscopes via a scientific model" (2017, 35 citations), addresses a persistent intraoperative challenge by developing a scientific model to prevent lens fogging, a practical innovation that enhances surgical visibility and efficiency. Campbell’s major contribution to robotic surgery includes the development of the RPN (Radius, Position of tumour, iNvasion of renal sinus) Classification and Nephrometry Scoring System (2023, 11 citations), an internationally developed, robotic-specific clinical tool that describes surgical difficulty for renal masses undergoing robotic partial nephrectomy. Unlike existing nephrometry scores, the RPN system is tailored to the robotic approach, offering surgeons a more accurate preoperative assessment of case complexity. This work represents a significant step toward standardizing robotic surgical planning and improving patient outcomes. With a growing citation impact, Campbell’s research bridges practical surgical challenges and advanced classification systems, marking him as a rising contributor to evidence-based robotic surgery.