Analysis of phenolic compounds in Parkinson's disease: a bibliometric assessment of the 100 most cited papers.

ABSTRACT:

Objective

The aim of this study was to identify and characterize the 100 most cited articles on Parkinson's disease (PD) and phenolic compounds (PCs).

Methods

Articles were selected in the Web of Science Core Collection up to June 2022 based on predetermined inclusion criteria, and the following bibliometric parameters were extracted: the number of citations, title, keywords, authors, year, study design, tested PC and therapeutic target. MapChart was used to create worldwide networks, and VOSviewer software was used to create bibliometric networks. Descriptive statistical analysis was used to identify the most researched PCs and therapeutic targets in PD.

Results

The most cited article was also the oldest. The most recent article was published in 2020. Asia and China

SUBMITTER: Perdigao JM 

PROVIDER: S-EPMC10185771 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature