openalex-database

Query the OpenAlex REST API for scholarly works, authors, and institutions.

298|27|Updated Feb 18, 2026
One-click install
npx skills add https://github.com/jaechang-hits/SciAgent-Skills --skill openalex-database-jaechang-hits
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: openalex-database
Source: https://github.com/jaechang-hits/SciAgent-Skills/tree/main/skills/scientific-writing/openalex-database
Command: npx skills add https://github.com/jaechang-hits/SciAgent-Skills --skill openalex-database-jaechang-hits

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests, pandas, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides programmatic access to the OpenAlex REST API, enabling users to search and retrieve comprehensive metadata for over 250 million scholarly works, authors, institutions, and journals without requiring authentication.

Core Features & Use Cases

  • Scholarly Literature Search: Query for works using keywords, DOIs, ORCID IDs, or OpenAlex IDs.
  • Metadata Retrieval: Fetch details like abstracts, citation counts, publication years, and open-access status.
  • Bibliometric Analysis: Build citation networks, analyze publication trends, and identify influential authors or institutions.
  • Use Case: Automatically download all open-access papers published in 2023 related to "CRISPR gene editing" and compile their titles, publication years, and citation counts into a CSV file for a literature review.

Quick Start

Use the openalex-database skill to search for works on 'CRISPR gene editing' published in 2023 and print the title, year, and citation count for the first 3 results.

Frequently Asked Questions about openalex-database

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I retrieve scholarly literature metadata using the OpenAlex API in Python?

To retrieve scholarly literature metadata using the OpenAlex API, you can query for works by keywords, DOIs, ORCIDs, or OpenAlex IDs. This process fetches comprehensive details like abstracts, citation counts, and open-access status without requiring authentication.

Can I filter bibliometric data by publication year and open access status?

Yes, you can filter bibliometric data by publication year and open access status when querying the OpenAlex REST API. This allows you to refine your scholarly literature search and build specific corpora for literature reviews or citation analysis.

How do I build a literature review corpus from scholarly works?

You build a literature review corpus by querying the OpenAlex REST API to retrieve metadata for scholarly works matching your keywords. You can then compile details like titles, publication years, and citation counts into a CSV file using the pandas library.

Do I need API keys or authentication to access OpenAlex bibliometric data?

No, you do not need API keys or authentication to access OpenAlex bibliometric data. The API allows direct programmatic retrieval of metadata for over 250 million scholarly works, authors, and institutions without requiring authentication.

What Python packages are required for OpenAlex API citation analysis?

You need the 'requests' and 'pandas' Python packages for OpenAlex API citation analysis. The 'requests' package handles data retrieval from the REST API, while 'pandas' facilitates data manipulation and export for bibliometric analysis.

How do I perform author disambiguation using ORCID IDs?

You perform author disambiguation by searching the OpenAlex REST API using ORCID IDs. This retrieves specific author metadata and associated scholarly works, helping to accurately identify and isolate individual researchers within bibliometric datasets.