Best ChatGPT Plugins for Research 2026
Watch a researcher work with ChatGPT and you'll see the same pattern on repeat. They ask a question, then jump between tabs: checking the citation database to confirm a reference, the library portal for access, the reference manager for collected papers, and the document delivery system if the paper isn't available. While ChatGPT responds quickly, it's cut off from every system the actual research runs through, so each answer sends the researcher back out across the rest of the stack.
Plugins end the tab-switching. Since OpenAI moved its app directory into the plugin directory in July 2026, plugins are now the primary way to add capabilities to ChatGPT. If you were using ChatGPT apps before, the change is mostly organizational. Apps are still the integrations that connect ChatGPT to external data and services, and plugins are how you find and enable them. Your existing connections keep working.
For researchers, the practical upside is the same as before, but now easier to discover. You can connect ChatGPT directly to indexed literature, citation data, and your organization's library, creating a more robust assistant with responses backed by research sources outside of whatever the model absorbed during training.
Here are the ChatGPT plugins most worth adding to a research workflow right now.
1. Scite
A major problem with AI in research is that it isn't grounded in the literature. Scite gives you a way to do that. The plugin connects ChatGPT to Scite's index of over 280 million articles, book chapters, preprints, and datasets, supported by 1.6 billion citation statements.
Plus, what really sets it apart? Citation context.
That context comes from Smart Citations. Scite classifies each citation as supporting, contrasting, or mentioning. So, when ChatGPT searches for papers on your behalf, it can highlight and prioritize work that later research has supported, flag findings that have been challenged, and help you decide what to trust and cite.
Most research tools retrieve papers. Scite adds a quality signal on top of retrieval. That's the difference between "here are papers that match your query" and "here are papers that match your query, and here's how the field has treated them."
The plugin also allows the system to search inside full-text articles to find the right paper, while supporting DOI resolution and metadata verification, so every reference from ChatGPT points to a real, checkable paper. And if your institution has a Scite license, your holdings resolve automatically, routing you to full text through the access your library already provides.
2. Zotero
Much of research work happens inside the papers you've already collected, annotated, and organized. The Zotero plugin lets ChatGPT search, inspect, and reason across your personal Zotero library instead of starting from scratch every time.
This is the plugin that makes ChatGPT useful for the research you're already actively working on: dissertation chapters, ongoing lit reviews, grant applications, lab reading lists. It's ideal whenever you want the assistant to use your curated collection instead of searching the open web.
Scite and Zotero pair well together. Scite brings the broader literature with citation context; Zotero brings your personal corpus. Together, they cover what's out there and what you've already gathered.
3. Article Galaxy
Finding the right paper is step one. Getting the full text, confirming access rights, checking reuse permissions, or ordering a document your organization doesn't yet have is where research workflows stall. Article Galaxy handles that stretch inside ChatGPT.
Article Galaxy links ChatGPT to your organization's literature library, subscription holdings, and document delivery infrastructure. Once connected, ChatGPT can check whether an article is open access or covered by your subscriptions, verify reuse rights, and place compliant acquisition orders, without leaving the conversation. Ordered PDFs are delivered through your Article Galaxy account under your existing entitlements.
Most research integrations focus on discovery. Article Galaxy adds the access and operations layer. Discovery tells you a paper exists. Article Galaxy gets you to it, under your organization's existing subscription and purchase terms.
Article Galaxy is available in the plugin directory. Install it, connect your Article Galaxy account, and mention @Article Galaxy in a prompt to check access to a DOI, confirm an order, or pull the status of one already placed.
Set up Article Galaxy in ChatGPT →
4. Wolfram
Research isn't only literature. If your work involves computation, the Wolfram plugin gives ChatGPT access to the Wolfram engine for solving equations, generating visualizations, running scientific calculations, and pulling curated data across STEM fields.
Even strong language models aren't inherently reliable at mathematical calculations. Wolfram routes those tasks to a system designed for them, so the numbers in your analysis hold up the same way your citations do. It pairs naturally with literature tools (i.e., Scite grounds the claims, Wolfram grounds the calculations).
5. BioRender
Research communication is part of the job too, and publication-quality figures can be among the most time-consuming pieces of writing papers, grants, and presentations. The BioRender plugin brings a library of scientific illustration templates and icons into ChatGPT. Describe the figure you need, whether that's an experimental design, a pathway diagram, or a graphical abstract, and ChatGPT surfaces relevant templates and icons you can open and customize in BioRender.
The others on this list find and evaluate papers. BioRender covers the step after the analysis, planning clear, professional figures without hours lost to searching an icon library. Mention @BioRender in a prompt with the figure you have in mind, then take the results into BioRender to build it.
Bring your own research tools with custom MCP apps
The plugin directory covers verified integrations, but there's much more that can be done. ChatGPT also supports custom apps built on the Model Context Protocol (MCP), the open standard that connects AI assistants to external tools and data sources. In developer mode, you can add any MCP server as a custom app.
This gives researchers access to a broader MCP ecosystem. One example is PubMed, where an MCP server lets ChatGPT query biomedical literature directly from the source. The same path works for a ClinicalTrials.gov MCP server for trial registry data, or patent MCP servers for prior art, technical details, and IP information. If a data source matters to your research and someone has built an MCP server for it, you can likely bring it into ChatGPT.
A quick note: custom apps aren't verified by OpenAI, so only connect to servers from providers you trust.
Choosing your plugin stack
Most researchers find it more useful to combine two or three plugins to compound their capabilities and get more from their research tools. A few pairings to get you started:
- General academic research: Scite + Zotero. Literature discovery with citation context, plus your own curated library.
- Enterprise and R&D research operations: Scite + Article Galaxy. Evidence evaluation plus compliant literature access, rights management, and document delivery.
- Clinical and biomedical research: Scite + PubMed and ClinicalTrials.gov MCP servers as custom apps. Citation-aware literature search alongside source biomedical data and trial registries.
- Data-heavy work: Scite + Wolfram. Grounded claims and reliable computation in the same conversation.
Add BioRender to any of these when figure creation is a regular part of your output.
Getting started
Start with the problem that costs you the most time. If it's trusting what ChatGPT cites and reaching the papers behind those citations, we recommend starting with Scite + Article Galaxy. That's the full arc of a literature question, covered without leaving your ChatGPT conversation.