Research Papers Search (OpenAlex, 250M+ works)
Pricing
from $1.00 / 1,000 papers
Research Papers Search (OpenAlex, 250M+ works)
Search 250M+ scholarly papers by topic or look up DOIs. Returns title, abstract, authors with institutions, venue, year, citation count, open-access PDF link, topics and funders. Filter by year, citations, open access and type. Data from OpenAlex, covering PubMed, arXiv and Crossref.
Pricing
from $1.00 / 1,000 papers
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Developer
Matheus Coelho
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2 days ago
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Search the world's scholarly literature and get clean, structured records, ready for a literature review, a spreadsheet or an AI research agent.
Powered by OpenAlex, the open catalog of 250M+ scholarly works that includes PubMed, arXiv, Crossref and institutional repositories. No API key, no login.
What you get per paper
Title, abstract, year and date, type (article, review, preprint...), DOI and PubMed ID, venue and publisher, citation count and citation percentile, open-access status and PDF link, authors with institutions, countries and ORCID, primary topic, field and domain, keywords, funders, number of references and retraction flag.
Use cases
- Literature reviews: the most relevant or most cited papers on a topic, with abstracts.
- AI research agents: grounded citations with DOIs and open PDFs instead of hallucinated references.
- Find experts: authors and institutions publishing on a topic.
- Track a field: newest preprints on a topic with a scheduled run.
- Enrich a reference list: pass DOIs and get full metadata.
Input
| Field | What it does |
|---|---|
searchQueries | Topics, e.g. CRISPR off-target effects. |
dois | Specific papers to look up. |
maxResultsPerQuery | Default 25, up to 2,000. |
sortBy | relevance (default), citations or newest. |
yearFrom / yearTo | Publication year range. |
minCitations | Skip papers cited fewer times. |
openAccessOnly | Only free-to-read papers. |
types | article, review, preprint, book-chapter, dataset... |
excludeRetracted | Default on. |
Tip: sorting by citations without a year filter surfaces famous but loosely related papers; combine it with yearFrom for "most cited recent work on X".
Output
{"recordType": "paper","title": "Array programming with NumPy","year": 2020,"type": "article","doi": "https://doi.org/10.1038/s41586-020-2649-2","venue": "Nature","citedBy": 23182,"isOpenAccess": true,"pdfUrl": "https://www.nature.com/articles/s41586-020-2649-2.pdf","authors": [{ "name": "Charles R. Harris", "institutions": [], "orcid": null }],"authorCount": 26,"abstract": "Array programming provides a powerful, compact and expressive syntax ...","primaryTopic": { "topic": "...", "field": "Computer Science", "domain": "Physical Sciences" }}
Errors (unknown DOI, no results, bad filter) come back as recordType: "error" rows with a hint.
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