Scite

What Scite does

Scite is an AI-powered scientific literature research platform operated by Scite, LLC. Its central purpose is to help users discover and evaluate scholarly evidence. Instead of treating a citation count as a sufficient measure of influence or reliability, Scite shows the surrounding citation statements and classifies how later research refers to the cited work.

Users can search by topic, title, author, keyword, or DOI, or ask the Scite Assistant a research question. Results can include papers, citation statements, metadata, citation context, and related research records. This makes Scite more specialized than a general-purpose chatbot and more interpretive than a conventional academic search interface.

Smart Citations and citation context

Scite's defining feature is Smart Citations. For a paper with sufficient indexed coverage, users can inspect how subsequent publications cite it and whether those references support its findings, contrast with them, or merely mention the work. The surrounding text helps users judge what a citation actually means instead of relying on the presence of a citation alone.

These classifications are useful for literature reviews, evidence checking, and investigating whether a widely cited finding has been challenged. They are not a replacement for reading the original papers or assessing study quality. Classification quality depends on the available literature and the interpretation of citation language, so important conclusions still require human review.

Research workflows

Finding and understanding papers

A typical workflow starts with a research question or a known paper. Scite can surface relevant literature, citation statements, related references, and reports about a publication. A user might begin with a broad topic, identify an influential study, then examine the studies that support or question it. The Assistant can help summarize evidence and formulate research-oriented answers, while the underlying sources remain available for inspection.

Organizing ongoing research

Collections let users save papers and build a working literature set. Alerts can help monitor new research or citation activity. This is useful for students preparing a literature review, researchers tracking a developing topic, and teams that need a shared reference base. Scite also provides article and citation analysis features, including citation context and retraction-related indicators.

Connecting existing tools

Scite supports browser-based research and a Zotero integration for syncing libraries and viewing citation context. Its browser extension can be used alongside scholarly websites and search engines. The platform also provides an MCP server for connecting Scite to compatible tools such as ChatGPT, Claude, Copilot, Cursor, and Claude Code. API access and embeddable Scite Badges are available for programmatic or publishing workflows.

Who Scite is for

Scite is mainly aimed at students, academic researchers, scientists, clinicians, librarians, publishers, research administrators, and pharmaceutical or life-science teams. It is particularly useful when the question is not only “What papers exist?” but also “How has this claim been treated by later research?”

It can complement tools such as Elicit and Consensus, which also focus on research discovery and evidence-oriented questions. Scite's distinctive emphasis is the citation relationship and the context around references. By contrast, a general web research tool such as Perplexity is broader in source coverage, while Scite is intended primarily for scholarly literature.

Pricing and access

Scite has a continuing Free plan, but free access is limited. The current pricing information describes the Free plan as including 25 MCP credits per month without Scite Assistant or Search access. Paid access includes Basic and Pro subscriptions, with the pricing page advertising Basic at $14 per month when billed yearly and Pro at $35 per month when billed yearly. A seven-day trial of paid functionality is also advertised.

Basic includes 250 MCP credits per month and collections of up to 1,000 papers. Pro includes 2,500 MCP credits per month, larger collections, expanded datasets such as patents, clinical trials, and grants, and API access. The research materials also describe a stated API credit inclusion with Pro. Enterprise access is available through customized arrangements, which may be more relevant to institutions and research organizations than to individual users.

Important limitations

• Scite is specialized for scholarly research and is not a general-purpose conversational assistant or broad web-search replacement.
• Full search and Assistant functionality require paid access after the limited free offering, and MCP usage is controlled through monthly credits.
• Smart Citation labels and AI-generated answers should be checked against the original papers. A supporting or contrasting citation does not by itself establish that a study is methodologically sound.
• The usefulness of results depends on the coverage and classification of Scite's indexed literature. Corpus counts and available datasets can change.
• The generative model used for Assistant responses is not identified in the consulted public materials.
• API, institutional access, and some integrations may require paid plans or separate agreements.

Privacy and data considerations

Scite's privacy and terms materials state that customer data, including inputs, outputs, queries, and usage data generated through interaction with the service, is not used to train, fine-tune, or improve AI systems. The privacy policy says that account-related personal information is typically retained while an account exists and for up to 10 years afterward, subject to legal requirements and deletion requests. Users working with sensitive research or institutional data should still review the current policy and applicable organizational agreements before uploading documents or connecting accounts.

Is Scite a good fit?

Scite is a strong fit for evidence-focused literature discovery, citation checking, and research monitoring. It is especially useful when citation context matters as much as paper retrieval, such as evaluating a contested finding or following how a result has been received by subsequent publications.

It is less suitable for creative writing, multimedia work, general business automation, or users who want a broad chatbot without a scholarly focus. It also should not be treated as an automatic systematic-review solution. The most reliable workflow combines Scite's search and citation analysis with direct reading, methodological appraisal, and the user's own judgment.