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Mapping Emerging Scientific Trends in Chronic Skin Disorders Using Machine Learning-Based Bibliometrics.
Nicoleta Cirstea1, Andrei-Flavius Radu1,2, Delia Mirela Tit1,3
1Doctoral School of Biological and Biomedical Sciences, University of Oradea, 410087 Oradea, Romania.
Bioengineering (Basel, Switzerland)
|August 28, 2025
Summary
Research on chronic skin diseases is growing, with a focus shifting towards personalized treatments and long-term outcomes. International collaboration is key to advancing patient care and management strategies in dermatology.
Area of Science:
- Dermatology and Bibliometrics
- Medical Research Trends
Background:
- Chronic dermatologic diseases present complex challenges in patient management, often leading to treatment failure due to issues like poor adherence.
- Significant unmet needs exist in the effective management of long-term skin conditions.
Purpose of the Study:
- To identify key research topics and trends in chronic dermatologic diseases.
- To analyze scientific output and collaboration patterns in this field using bibliometric methods.
Main Methods:
- Utilized Web of Science database for document retrieval (1975-2024).
- Employed VOSviewer, Bibliometrix, and Excel for data analysis.
- Developed a Python script with machine learning for terminology standardization.
Main Results:
- Identified a growing research interest, with a surge in publications since 2019.
- The United States, Germany, and England lead in scientific output; Canada shows high citation impact.
- Research trends post-2020 indicate a shift towards personalized medicine and long-term treatment outcomes.
Conclusions:
- The field of chronic skin disease research is expanding globally.
- International collaboration, particularly within the EU, is significant.
- Staying updated on emerging trends is crucial for advancing treatment and patient care in dermatology.
