Mapping the structure of biomarkers in autism spectrum disorder: a review of the most influential studies
2024

Review of Autism Biomarkers

publication Evidence: high

Author Information

Author(s): Jin Fang, Wang Zhidan

Primary Institution: School of Education Science, Jiangsu Normal University, Xuzhou, China

Hypothesis

This study aims to identify and review the characteristics of the 100 top-cited articles on autism biomarkers.

Conclusion

The analysis provides a comprehensive overview of the most influential studies on autism biomarkers, highlighting current research trends and future directions.

Supporting Evidence

  • The study identifies key trends in autism biomarker research, including genetic markers and oxidative stress.
  • Future research should focus on the application of emerging technologies and longitudinal studies of biomarkers.
  • The analysis highlights the importance of understanding the comorbidity of autism with other psychiatric disorders.

Takeaway

This study looks at the most important research on autism biomarkers to help doctors and researchers understand what works best for diagnosing and treating autism.

Methodology

A bibliometric analysis was conducted on the top 100 cited articles retrieved from the Web of Science Core Collection database.

Limitations

The study only included articles from the Web of Science database, potentially overlooking significant papers from other databases.

Digital Object Identifier (DOI)

10.3389/fnins.2024.1514678

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