6th Edition of Neurology World Conference 2026

Abstract

Parkinson's disease is one of the fastest-growing neurodegenerative diseases in the world, representing a major public health burden. In recent years, multi-omics approaches integrating genomics, transcriptomics, proteomics, metabolomics, and microbiome data have attracted increasing attention in Parkinson's disease research. This study aims to evaluate global research findings and emerging trends in multi-omics applications in Parkinson's disease using a bibliometric approach. Scientific publications were retrieved from the Web of Science Core Collection and the Scopus databases covering the period 1984–2026. After selection, 4,774 documents were included in the analysis. Bibliometric and network analyses were performed using Microsoft Excel, Biblioshiny (an R package), and VOSviewer to assess publication trends, leading countries, institutions, authors, journals, and keyword co-occurrence networks. The results show a steady increase in publications over time, reflecting the growing scientific interest in multi-omics research on Parkinson's disease. The United States was the leading contributor in terms of publications and citations, with strong international collaborative networks. The Queen Square Institute of Neurology (UCL) emerged as the most productive institution, while Y. Wang was identified as the most prolific author. The International Journal of Molecular Sciences was the leading journal in this field. Keyword analysis revealed a shift from classic neurobiological terms such as dopamine and the basal ganglia toward emerging topics such as the gut microbiota, neuroinflammation, metabolomics, radiomics, and machine learning. This study provides a comprehensive overview of the conceptual framework and evolution of research on multi-omics approaches in Parkinson's disease. The findings highlight emerging interdisciplinary trends and may inform future research directions in neurodegenerative diseases.