Queries and analyzes over 240 million scholarly works, authors, and institutions using the OpenAlex open API.
The OpenAlex Database skill empowers Claude to navigate one of the world's largest catalogs of scholarly metadata, covering over 240 million works. It provides a robust framework for conducting literature reviews, tracking citation counts, and performing complex bibliometric analysis without requiring an API key. This skill is particularly useful for researchers and data scientists who need to identify research trends, analyze institutional output, or discover open-access publications. It features built-in support for the 'polite pool' rate limit boost, automated pagination for large datasets, and efficient batch processing of DOIs and ORCIDs.
主な機能
011 GitHub stars
02Search 240M+ scholarly works by title, abstract, or topic
03Batch processing for up to 50 identifiers (DOIs, ORCIDs, RORs) per request
04Track citation trends and identify highly-cited research
05Analyze research output by specific authors or institutions
06Discover and filter for open-access publications (Gold, Green, Hybrid)
ユースケース
01Automating systematic literature reviews and finding influential papers in a field
02Extracting large-scale academic datasets for bibliometric and data science research
03Benchmarking institutional research output and identifying top topics of study
