Queries and analyzes over 240 million scholarly works, authors, and institutions using the OpenAlex API.
The OpenAlex Database skill empowers researchers and developers to programmatically explore the global landscape of scientific research. It provides a comprehensive toolset for performing literature reviews, tracking citation impact, and analyzing institutional research output across a massive catalog of works. By utilizing the OpenAlex API—which offers open access without requiring an API key—this skill facilitates automated bibliometric studies, research trend discovery, and large-scale data extraction for academic analysis and data science projects.
Key Features
01Search 240M+ scholarly works by title, abstract, topic, or DOI
02Analyze research output and publication trends for authors and institutions
03Track citation counts and identify highly-cited influential papers
04Perform batch lookups and large-scale data extraction for meta-analyses
058 GitHub stars
06Filter for open-access publications and specific funding sources
Use Cases
01Automating literature reviews and state-of-the-art research summaries
02Conducting institutional benchmarking and faculty impact analysis
03Building custom datasets for bibliometric research and trend mapping
