Scite

This qualitative citation analysis, applied across 1.6 billion+ citations from 280 million+ research sources, transforms how researchers evaluate the reliability and consensus strength of any scientific claim.

Rather than trusting a paper because it has 500 citations (some of which may actually contradict its findings), researchers using Scite can immediately see the ratio of supporting to disputing citations.

Scite's AI research assistant goes beyond citation analysis to provide a full literature exploration interface. Researchers can ask questions in natural language and receive answers grounded in actual scientific literature, with responses citing specific papers and showing the Smart Citation context for each reference.

This grounding in verifiable, retrievable sources addresses the hallucination problem that limits general-purpose AI assistants for academic research every claim made by Scite's AI can be traced back to an actual indexed paper.

The platform has indexed content from 30+ major academic publishers and covers both open access and paywalled content, giving researchers unified access across sources they might otherwise need multiple institutional subscriptions to reach.

Full-text PDF access is available for a substantial portion of the indexed content.

In 2026, Scite launched MCP (Model Context Protocol) integration, allowing researchers to connect Scite's 250M+ article database, Smart Citations, and full-text PDFs directly into AI tools they already use including ChatGPT, Claude, Copilot, Cursor, and any MCP-compatible environment.