ArticleNeurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology2018
The 100 most-cited articles in Parkinson's disease.
Article in Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed.
- High impact works on stem cell transplantation in intervertebral disc degeneration.BMC musculoskeletal disorders · 2024Article
- Research trends in cardiovascular tissue engineering from 1992 to 2022: a bibliometric analysis.Frontiers in cardiovascular medicine · 2023Article
- Top 100 influential manuscripts in obstructive sleep apnea: a bibliometric analysis.Sleep & breathing = Schlaf & Atmung · 2022Review
- Establishing a minimum data set for Parkinson's (PMDS) in Iran.Journal of education and health promotion · 2022Article
- Academic Publication of Neurodegenerative Diseases From a Bibliographic Perspective: A Comparative Scientometric Analysis.Frontiers in aging neuroscience · 2021Article
- Sudden unexpected death in Parkinson's disease: why do neuroscientists still ignore this condition?Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2019Article
Corrections and comments
- Commented on by
Authors and funding
5 authors.
Funding
Abstract
backgroundParkinson's disease (PD), the second most common neurodegenerative disease, has serious clinical effects. Research on PD is increasing, but the quantity and quality of this research have not been reported.
methodsTo analyze the most-cited articles on PD and provide information about developments in this field, we searched for articles in the Web of Science for the keyword "Parkinson*" in the title. We selected the 100 most-cited articles and evaluated information including citation number, publication time, journal, impact factor, authors, original country, institution of corresponding author, and study type.
resultsCitation numbers for the 100 most-cited articles ranged from 669 to 6902, with a median of 944. The 100 articles were published from 1967 to 2009, with most appearing between 1996 and 2000 (n = 24) and 2001 to 2005 (n = 27). The publications appeared in a total of 31 journals, led by Science with 15 and the New England Journal of Medicine (NEJM) with 13. The majority (84%) of the 100 most-cited articles had ≥ 3 authors. The articles originated from 14 countries, led by the USA (n = 44) and England (n = 17). Among the 100 most-cited articles, 24 were clinical studies, 54 were laboratory studies, 20 were reviews, and 2 were clinical guidelines. None of these articles originated from South America, Oceania, or Africa.
conclusionsThe present study provides historical perspectives on the progress of PD research and highlights trends and academic achievements in this field.
Indexed as
Identifiers
29808332What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.