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Citation classics in central nervous system inflammatory demyelinating disease
Jee-Eun Kim1, Kang M Park2, Yerim Kim3
1Department of Neurology Seoul Medical Center Seoul Korea.
This study analyzed top-cited articles on central nervous system (CNS) inflammatory demyelinating diseases. Most research focused on multiple sclerosis, offering insights into the field's progress.
Area of Science:
- Neurology
- Immunology
- Neuroscience
Background:
- Central nervous system (CNS) inflammatory demyelinating diseases encompass conditions like multiple sclerosis and neuromyelitis optica.
- Understanding the historical trajectory and influential research in this field is crucial for advancing diagnostics and therapeutics.
Purpose of the Study:
- To identify and analyze the characteristics of the most influential articles concerning CNS inflammatory demyelinating diseases.
- To provide a historical perspective and guide future research directions in the field.
Main Methods:
- A bibliometric analysis of the top 100 cited articles was conducted using the Web of Science database and Journal Citation Reports.
- Articles were analyzed based on citation counts, journals, publication years, authorship, article types, subjects, and key findings.
- Citation classics (over 100 citations) for neuromyelitis optica (NMO) were specifically identified and described.
Main Results:
- The top 100 cited articles were published between 1972 and 2011, primarily in journals like 'Brain' and 'The New England Journal of Medicine'.
- The majority of influential articles (87%) focused on multiple sclerosis, with fewer on NMO (9%), acute disseminated encephalomyelitis (2%), and optic neuritis (2%).
- Sixty-four percent of the articles originated from the United States and the United Kingdom, with an average of 664 citations per article.
Conclusions:
- This bibliometric analysis highlights the historical research landscape of CNS inflammatory demyelinating diseases.
- The findings serve as a valuable guide for researchers, indicating key areas of focus and potential future trends in the field.
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