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Glycan Node Analysis: A Bottom-up Approach to Glycomics
Published on: May 22, 2016
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Glycosylation in autoimmune diseases: A bibliometric and visualization study
Guoqian Deng1, Xinyi Chen1, Le Shao2
1Hunan University of Chinese Medicine, Changsha, Hunan, China.
Heliyon
|May 6, 2024
Summary
Glycosylation significantly impacts autoimmune diseases (ADs). This bibliometric analysis reveals key research trends, top contributors like the USA, and emerging areas such as glycoengineering and artificial intelligence in AD research.
Area of Science:
- Immunology
- Biochemistry
- Medical Research
Background:
- Glycosylation is increasingly recognized for its critical role in autoimmune diseases (ADs).
- Understanding the knowledge landscape and emerging trends in glycosylation research within ADs is essential for scientific advancement.
- Bibliometric analysis provides a quantitative overview of research productivity and impact.
Purpose of the Study:
- To map the knowledge framework and identify hot topics in glycosylation research related to autoimmune diseases.
- To analyze publication trends, leading institutions, and influential researchers in the field from 2003 to 2023.
- To provide a data-driven reference for researchers focusing on glycosylation and ADs.
Main Methods:
- Bibliometric analysis of 530 studies on glycosylation in ADs.
- Data sourced from the Web of Science Core Collection (2003-2023).
- Analysis performed using VOSviewer, CiteSpace, and Bibliometrix software.
Main Results:
- The United States leads in overall contributions, with China showing significant recent growth.
- Leiden University is a top institution, and Manfred Wuhrer is a highly cited author.
- Frontiers in Immunology is the leading journal; research focuses on antibody glycosylation (IgG, IgA) in ADs.
- Emerging trends include glycoengineering for targeted therapies and regenerative materials, with artificial intelligence as a novel tool.
Conclusions:
- This bibliometric study provides a comprehensive overview of the research on glycosylation in autoimmune diseases.
- Key areas of focus include antibody glycosylation and its implications for disease pathogenesis.
- Future directions involve leveraging glycoengineering and artificial intelligence for innovative AD treatments.
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