# A Bibliometric Analysis of Research Trends in Paediatric Pelvic-Ureteric Junction Obstruction

## TL;DR

This paper analyzes global research trends in pediatric pelvic-ureteric junction obstruction from 1985 to 2025, highlighting shifts in diagnostic and treatment approaches.

## Contribution

A comprehensive bibliometric analysis of PUJO research trends over four decades, identifying shifts in focus and productivity.

## Key findings

- The number of publications on PUJO has increased steadily since 1985.
- Research focus has shifted from open surgery to minimally invasive techniques like robotic surgery.
- The United States and the Journal of Pediatric Urology are the most productive contributors.

## Abstract

Pelvic-ureteric junction obstruction (PUJO) is one of the leading causes of renal impairment in the paediatric population. Over the past few decades, the diagnostic and therapeutic landscape in this field has evolved significantly. We conducted a comprehensive quantitative bibliometric analysis of research trends in PUJO over the last four decades. A total of 2019 articles published between 1985 and 2025 were retrieved from Web of Science Core Collection and analysed using the Bibliometrix R package (version 4.3.2; K-Synth Srl, Naples, Italy) and VOSviewer (Centre for Science and Technology Studies, Leiden University, The Netherlands). The annual number of publications has increased steadily over the study period. The United States was the most productive country (n=574), while the Journal of Pediatric Urology was the most active journal (n=255). Peters, CA, was identified as the most influential author with 1373 citations and 49.00 average citations per publication. Keyword analysis has revealed a shift away from traditional approaches like open surgery and ultrasonography to modern surgical and imaging techniques such as robotic surgery and magnetic resonance urography. Future research is trending towards refining minimally invasive approaches, understanding their long-term outcomes, and exploring novel biomarkers.