Knowledge structure and emerging trends of cognitive impairment induced by sleep deprivation: A bibliometric analysis based on CiteSpace and VOSviewer from 2000 to 2022

神经认知 认知 睡眠剥夺 引用 文献计量学 领域(数学) 医学 认知障碍 老年学 精神科 图书馆学 计算机科学 数学 纯数学
作者
Kai Yu,Lei Hao,Fan Bu,Yuanzhi Guo,Yaqi Duan,Rui Hu,Ji Lu,Peng Li
出处
期刊:Medicine [Ovid Technologies (Wolters Kluwer)]
卷期号:102 (40): e34776-e34776 被引量:4
标识
DOI:10.1097/md.0000000000034776
摘要

This paper implements a bibliometric approach to investigate the research hotspots and future research directions in the relevant field literature. It also offers research ideas and methods for preventing and treating cognitive impairment induced by sleep deprivation in the clinical setting. The evolution of various clusters in the field is summarized through Citespace's projection function for keywords in the literature. CiteSpace and Vosviewer are utilized to analyze and visualize the attributes of the articles, including number of publications, citation frequency, country/region, institution, journal, authors, keywords, and references, from the 2280 publications obtained. A total of 2280 publications were collected, with the number of papers and citations in the field continuously increasing year by year. The most influential country in this field is the United States, and the University of Washington is the most influential institution. The most authoritative journal in the field is identified as SLEEP. Sleep deprivation, prefrontal cortex, and performance are the current topics of interest. The article with the strongest citation burst, lasting from 2015 to 2018, is "Sleep Drives Metabolite Clearance from the Adult Brain." The most influential article and co-cited reference, "Neurocognitive Consequences of Sleep Deprivation," highlights that sleep deprivation from various causes may lead to cognitive impairment. Future research should investigate all forms of cognitive impairment resulting from sleep deprivation. The findings of this study will assist researchers in improving their knowledge structure, identifying research hotspots, and revealing future directions in the field.
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