Mesenchymal stem cells-derived extracellular vesicle therapy in breast cancer

This repository contains the complete dataset and metadata used in a bibliometric analysis of mesenchymal stem cell–derived extracellular vesicle (MSC-EV) therapy in breast cancer. MSC-EVs have emerged as promising therapeutic agents due to their tumor-targeting capacity, immunomodulatory properties, and potential for drug delivery. However, the research landscape has not been systematically mapped to date.A comprehensive literature search was conducted in Web of Science, Scopus, and PubMed databases covering the period 2013–2025. A total of 75 original research articles were identified and exported in EndNote (.enl) format. The dataset includes full bibliographic records (authors, titles, journals, keywords, abstracts, citations, and institutional affiliations).The dataset was processed and analyzed using RStudio (v4.4.1) and Biblioshiny for:Annual publication trendsCountry and institutional productivityJournal disseminationCo-authorship networksKeyword co-occurrence and thematic evolutionCitation impact metricsKey findings revealed steady annual growth (12.25%), contributions from 475 authors across 58 journals, and leading outputs from Iran, China, and the United States. Keyword trends showed a shift from mechanistic studies toward translational applications, including exosomes, drug delivery systems, and triple-negative breast cancer (TNBC).This dataset provides a valuable resource for researchers, clinicians, and policymakers seeking to understand the current landscape, identify collaboration networks, and explore future directions in MSC-EV–based breast cancer therapy.File FormatEndNote Library (.enl)Metadata text file (.txt)