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Mapping miRNA Research in Schizophrenia: A Scientometric Review
Mengyu Lim1, Alessandro Carollo2, Michelle Jin Yee Neoh1
1Psychology Program, School of Social Sciences, Nanyang Technological University, Singapore 639818, Singapore.
This bibliometric study maps the research landscape of micro RNA (miRNA) in schizophrenia, identifying 13 key research clusters. Future directions emphasize big data, bioinformatics, and interdisciplinary collaboration for treatment development.
Area of Science:
- Neuroscience
- Genetics
- Bioinformatics
Background:
- MicroRNAs (miRNAs) play crucial roles in brain development and function, implicating them in neuropsychiatric disorders.
- Schizophrenia research increasingly utilizes miRNA studies to understand its complex aetiology.
- Existing reviews often fail to capture the full scope of miRNA and schizophrenia research.
Purpose of the Study:
- To systematically review and synthesize the literature on microRNAs (miRNAs) in schizophrenia using bibliometric and scientometric methods.
- To identify major research clusters and historical trends in this field.
- To provide an easy-to-understand overview of the research landscape.
Main Methods:
- Bibliometrics and scientometrics, specifically document co-citation analysis (DCA).
- Literature search on Scopus yielding 992 papers.
- Analysis using CiteSpace software to generate a network of research clusters.
Main Results:
- Document co-citation analysis revealed 13 major thematic clusters within miRNA and schizophrenia research.
- The study visually represents the historical development and thematic distribution of publications.
- Qualitative discussion of each identified cluster provides thematic insights.
Conclusions:
- MicroRNA research has significantly expanded into schizophrenia studies, driven by prior non-coding RNA findings.
- The field is increasingly leveraging big data and bioinformatics.
- Future research will likely focus on interdisciplinary collaboration and translational studies for therapeutic development.
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