From Night to Light: A Bibliometric Analysis of the Global Research Trajectory of Sleep Disorders in Parkinson’s Disease DOI Creative Commons

Luya Shi,

Xinxin Zhao,

Jing Wu

и другие.

Journal of Multidisciplinary Healthcare, Год журнала: 2025, Номер Volume 18, С. 473 - 492

Опубликована: Янв. 1, 2025

Sleep disorders are prevalent non-motor symptoms in patients with Parkinson's disease (PD), significantly diminishing the overall quality of life for and potentially accelerating deterioration motor cognitive functions, progression. Despite increasing research on sleep PD, a comprehensive analysis knowledge structure key issues this field still lacking. This study aims to identify hotspots emerging trends related PD through detailed bibliometric analysis. On October 1, 2024, an extensive search was conducted Web Science Core Collection (WOSCC) database gather relevant literature PD. Bibliometric mapping analyses were performed using CiteSpace, VOSviewer, bibliometrix. Between January 2004, total 3,655 publications published by 3,387 institutions across 87 countries. The volume has shown steady increase, trend projected continue. Current is primarily centered Neurosciences, Pharmacology, Clinical Neurology. Emerging involve evaluations sleep, early diagnosis prevention various disorder subtypes advancing animal models develop effective therapies. keywords include machine learning, quality, biomarkers, covid-19, mouse model. sheds light global landscape PD-related over past two decades, highlighting countries, institutions, authors, journals driving advancements field. Moreover, it uncovers pivotal trends, offering valuable insights guidance scholars engaged area.

Язык: Английский

From Night to Light: A Bibliometric Analysis of the Global Research Trajectory of Sleep Disorders in Parkinson’s Disease DOI Creative Commons

Luya Shi,

Xinxin Zhao,

Jing Wu

и другие.

Journal of Multidisciplinary Healthcare, Год журнала: 2025, Номер Volume 18, С. 473 - 492

Опубликована: Янв. 1, 2025

Sleep disorders are prevalent non-motor symptoms in patients with Parkinson's disease (PD), significantly diminishing the overall quality of life for and potentially accelerating deterioration motor cognitive functions, progression. Despite increasing research on sleep PD, a comprehensive analysis knowledge structure key issues this field still lacking. This study aims to identify hotspots emerging trends related PD through detailed bibliometric analysis. On October 1, 2024, an extensive search was conducted Web Science Core Collection (WOSCC) database gather relevant literature PD. Bibliometric mapping analyses were performed using CiteSpace, VOSviewer, bibliometrix. Between January 2004, total 3,655 publications published by 3,387 institutions across 87 countries. The volume has shown steady increase, trend projected continue. Current is primarily centered Neurosciences, Pharmacology, Clinical Neurology. Emerging involve evaluations sleep, early diagnosis prevention various disorder subtypes advancing animal models develop effective therapies. keywords include machine learning, quality, biomarkers, covid-19, mouse model. sheds light global landscape PD-related over past two decades, highlighting countries, institutions, authors, journals driving advancements field. Moreover, it uncovers pivotal trends, offering valuable insights guidance scholars engaged area.

Язык: Английский

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