ArticleFrontiers in aging neuroscience2024
Knowledge mapping of ferroptosis in Parkinson's disease: a bibliometric analysis: 2012-2023.
Article in Frontiers in aging neuroscience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 2 of them syntheses that pooled it.
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
2 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- New trends and hotspots in Sepsis-associated encephalopathy research: a bibliometric and visualization analysis.Frontiers in aging neuroscience · 2026Pooled it
- The rising tide of frailty in Parkinson's disease: a bibliometric study of global research landscape and emerging trends.Frontiers in neurologyPooled it
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Ferroptosis is a crucial pathogenic mechanism in Parkinson's disease, offering significant potential for pharmacological intervention. Despite its importance, the number of bibliometric analyses examining the relationship between ferroptosis and Parkinson's disease remains limited. This study aims to elucidate the knowledge structure and primary research focuses within this field using various bibliometric tools search. Materials and methods: We conducted a comprehensive literature son ferroptosis in Parkinson's disease using the Web of Science Core Collection database. Bibliometric analyses and visualizations were performed with VOSviewer, examining the geographical and institutional distribution of publications, journal interconnections, and keyword prevalence. Furthermore, CiteSpace was used to visually explore and analyze journal interactions and citation dynamics. The bibliometrix R package facilitated the delineation of collaborative networks across different countries and the construction of visual network representations illustrating relationships among authors, keywords, and journals. Data visualization was further enhanced with Microsoft Office Excel 2021. Results: Recently, there has been a significant increase in publications on ferroptosis, with China emerging as a leading contributor in this research area. Keyword analysis highlights the critical role of ferroptosis in the pathogenesis of Parkinson's disease, identifying GPX4 as a key enzyme mitigating lipid peroxidation. This study also elucidates the connections and distinctions between ferroptosis and other cell death processes such as apoptosis, autophagy, and pyroptosis. Current research primarily focuses on immunotherapy, prognosis, oxidative stress, lipid peroxidation, and the tumor microenvironment. Conclusion: This study provides a comprehensive initial analysis of the research landscape, identifying current focal points and potential future directions for ferroptosis research in Parkinson's disease. The findings leverage a variety of bibliometric methodologies to offer valuable insights into this emerging field.
Indexed as
Identifiers
What Socratic 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 Socratic graph.