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most-cited-papers
x402
most-cited-papers is a paid API for AI agents from intel.rallylive.ca, paid per call via x402, $0.02/call, status unknown (last checked 2026-10-19).
Returns the most-cited academic papers on a given topic, using Crossref citation counts, with title, authors, year, venue, DOI, citation count, and abstract.
Price / call$0.02
Success—
StatusUnknown
How this service works
The most-cited papers on a topic (Crossref citation counts), for literature reviews and finding the foundational work: title, authors, year, venue, DOI, citations, abstract. $0.02 per search.
Output
A ranked list of the most-cited papers on the queried topic, each including title, author list, publication year, venue/journal, DOI, Crossref citation count, and abstract. Results are sorted by citation count descending, enabling quick identification of foundational and influential works.
Example use cases
Literature review on a new topic
“I'm starting a literature review on CRISPR gene editing — can you pull the most-cited papers on that topic so I can see who the key authors and foundational works are, including DOIs and abstracts?”
Identifying seminal AI research
“What are the most highly cited papers on reinforcement learning from human feedback? I want titles, venues, years, and citation counts to understand the canonical work in this area.”
Supporting a grant proposal
“I'm writing a grant proposal on antibiotic resistance and need to cite the most influential existing research — can you find the top cited papers on antibiotic resistance with their abstracts and DOIs?”
Technical details
Endpoint
GEThttps://intel.rallylive.ca/papers/most-cited?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to identify foundational or highly influential academic papers on a topic for literature reviews, grant proposals, or research orientation. It is especially useful when citation count is the primary ranking criterion and when you need structured metadata (DOI, abstract, venue) alongside results. Prefer this over general web search for academic work, and over arXiv-only sources when you need cross-disciplinary coverage across all fields indexed by Crossref.
Side effects
- Topic query too broad or ambiguous — may return papers from unintended sub-fields
- Crossref citation counts may lag behind other databases (e.g. Google Scholar) or miss self-citations
- No results found for very niche or emerging topics with few indexed papers
- Query string not provided or malformed — returns error
- Rate limits or payment failure may block the request
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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