Vinicius Muraro
Postdoc
Technical-scientific production and knowledge networks about medicinal plants and herbal medicines in the Amazon
Author
Summary, in English
Methods: The study employs a comprehensive methodological approach, including data collection from Scopus covering the period from 2002 to 2022. The data was cleaned and analyzed using bibliometric and network analysis techniques. Advanced natural language processing techniques, such as Latent Dirichlet Allocation and Jaccard distance measure, were used for TRL classification.
Results: The findings reveal a predominant contribution from Brazilian institutions and authors, with 1,850 publications analyzed. Key areas identified include Pharmacology, Toxicology, Pharmaceuticals, Medicine, and Biochemistry. The study also uncovers various collaborative networks and technological maturity levels, with a significant focus on early-stage development phases.
Discussion: The research concludes that Brazilian institutions, particularly those in the Amazon region, play a significant role in the scientific exploration and development of medicinal plants and herbal medicines. Despite this, countries like the USA were proportionally more productive in clinical trial research. The study underscores the potential of Brazil's rich biodiversity and traditional knowledge in the pharmaceutical industry, particularly for neglected diseases. It suggests the need for stronger research systems and international collaboration to leverage these resources for global health benefits.
Department/s
- CIRCLE
- Innovation
Publishing year
2024
Language
English
Publication/Series
Frontiers in Research Metrics and Analytics
Volume
9
Document type
Article
Publisher
Frontiers Media S. A.
Topic
- Economic Geography
- Pharmaceutical Sciences
Keywords
- Scientometrics
- Social network analysis
- Technology readiness levels
- Brazil
- Negleted tropical disease
- Amazon traditional medicine
- Research and development (R&T) planning
- SDG 3 - Good Health and Well-being
Status
Published
ISBN/ISSN/Other
- ISSN: 2504-0537