A bibliometric analysis of autism spectrum disorder signaling pathways research in the past decade

Translational Research
DOI: 10.3389/fpsyt.2024.1304916 Publication Date: 2024-02-12T04:28:45Z
ABSTRACT
Background This study employs bibliometric methods to comprehensively understand the fundamental structure of research about Autism Spectrum Disorder (ASD) Signaling Pathways by examining key indicators such as nations, institutions, journals, authors, and keywords. Methodology We utilized WoScc database retrieve literature relevant ASD published between 2013 2023. Through visual analysis tools like CiteSpace VosViewer, we explored keywords, thereby constructing networks. Results 26 The encompasses 1,396 articles, revealing a consistent increase in publications. United States, China, Germany are leading nations this literature. Regarding University California system Eric Klann have garnered significant attention due their substantial contributions field Pathways. Most is journal “Molecular Autism.” Research interests concentrated across various themes, including “elevating neuronal β-catenin levels,” “Tunisian children,” “ Fmr1 knockout (KO) mice,” de novo mutations,” “autistic “local translation,” “propionic acid-induced mouse models,” “neurosystems,” “glucose metabolism,” “neuronal migration.” Future may emphasize exploring aspects gut microbiota, genes, stress, maternal immune activation, memory, neurodevelopmental disorders ASD. Conclusion study, through provides comprehensive overview current state on These investigations predominantly focus molecular mechanisms, animal model studies, population-based research, function neurosystems. directions also clearly proposed. First, in-depth genes associated with will continue reveal genetic basis provide support for precise treatments. At same time, microbiota help explore its association ASD, which clues new In addition, relationship stress become better emotional behavioral characteristics patients stressful situations. Maternal activation be further studied how environmental factors influence risk development Finally, deeper understanding cognitive functions especially memory learning, develop individualized treatment strategies improve patients’ quality life. work together expected more ideas opportunities future intervention treatment.
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