CiteAb — Reagent Citation & Supplier Database

CiteAb — Reagent Citation & Supplier Database is the citation-ranked map of the life-science tools market: 16,236,603 reagents carrying 13,890,611 peer-reviewed citations from 716 suppliers, with 1,620,782 reagent images attached to the publications that used them. CiteAb Limited of Bath, UK built the ranking on a simple premise - a reagent's citation record is the most honest measure of whether it works - and the result is a public proxy for scientific traction across seven product verticals: antibodies (recombinant, monoclonal, polyclonal, primary and secondary), biochemicals (peptides, bioactive small molecules, dyes and lipids), cell lines and models including tissues and animal models, kits and assays (ELISA and multiplex immunoassay among them), instruments from microscopes to flow cytometers, nucleotides spanning plasmids and CRISPR constructs, and proteins.

The same engine powers the commercial side: CiteAb licenses its reagent database to pharma and biotech, investment and research advisory firms and scientific publishers, and publishes market analyses mined from roughly 40 million publications. Datadory ships that structure as rows - one record per supplier reagent, typed and keyed on catalog number.

Get a sample of this dataset

Rows after cleaning - one row per supplier reagent, typed and ready to rank or join:

REAGENT_NAME                     SUPPLIER  CITED_BY  APPLICATIONS  SPECIES       PRODUCT_TYPE
Anti-HER2 antibody [EPR19557]    Abcam     1959      WB, IHC-P     Human, Mouse  antibodies
Recombinant anti-GAPDH [EPR16891] Abcam    1204      WB, ICC/IF    Human, Mouse  antibodies
Human IL-6 DuoSet ELISA          R&D Systems 312     ELISA         Human         kits and assays
HeLa cell line                   ECACC     876       -             Human         cell lines and models

Reading the top row: an anti-HER2 antibody on the EPR19557 clone, supplied by Abcam, standing at 1,959 citing publications with validation in western blot and IHC-paraffin across human and mouse. The citation counter is doing the market research here - it separates a workhorse reagent that appears in hundreds of papers from a catalog entry nobody has ever reproduced against. The applications and species columns make the distinction actionable, because 'most-cited antibody for HER2 IHC in human tissue' is a query, not a literature review.

Six fields carry every record. Each is defined below against what the listing actually reports, with examples lifted from real rows:

The dictionary is deliberately small, which is the point: citation count plus supplier plus application context answers supplier-selection and share questions without dragging forty sparse columns along behind it.

• Geography: global - citations mined from roughly 40 million publications, with suppliers indexed worldwide across all seven verticals
• Temporal: continuously updated citation mining; published market analyses run through July 2026
• Granularity: one record per supplier reagent (16.2M), each carrying its citation count, application annotations and image links

No other table pairs 16 million purchasable reagents with per-item citation evidence. Vendor catalogs tell you what can be bought; this tells you what actually gets used and by how much - which is why the licensed feed ends up in investment diligence decks rather than lab freezers.

API, files, or your warehouse. Daily, weekly, or hourly.

Pick the channel and the cadence; the rows arrive identical either way - cleaned, typed and keyed on catalog number so the antibody slice, the kit slice and the instruments slice line up without merge-key archaeology. Application multi-value strings stay parseable, image references resolve against their citing publications, and every column is checked against the dictionary above before it ships.

• Life sciences tools investors and equity analysts - read market share off citation velocity by supplier instead of vendor press releases; a supplier gaining citation share quarter over quarter is selling reagents scientists actually trust.
• Competitive-intelligence teams at reagent suppliers - benchmark a catalog against the citation leaders in each vertical and spot white space where citations concentrate on a rival's products.
• Procurement and lab-operations leads - shortlist antibodies and kits by documented performance, cutting the cost of reagents that fail validation mid-project.
• Market researchers and consultants - size the antibody, kit-assay and instrument segments by counting cited usage across seven verticals rather than survey self-report.
• Scientific publishers and review teams - verify that referenced reagents exist, who supplies them and how heavily they were cited at review time.
• R&D informatics teams - join internal experiment records to external citation counts to pick the next lot before the old one runs dry.

Explore more use cases - see the industry hub

Investors & Quants treat 13.9M citations as a bottom-up demand signal for the tools sector - share shifts measured in publications, not guidance calls. See investors & quants.

Market Researchers & Consultants build segment sizings on actual cited usage across seven verticals and 716 suppliers. See market researchers.

Data Scientists & ML Engineers get a typed, catalog-number-keyed panel where the citation counter doubles as a ready-made popularity label for recommendation and pricing models. See data scientists use cases.

Developers & Builders anchor procurement and catalog tooling on identifiers that survive supplier rebrands. See developers & builders.

Methodology note - citation counts are a lagging-but-honest signal: a reagent cited 1,000 times earned those mentions over years of published work, so new entries start low regardless of quality. Counts reflect publications mined, not units sold.

Completeness note - verticals are uneven because the underlying literature is: antibodies dominate both reagent count and citation mass, while instruments and cell lines index fewer but heavier items. The licensed copy of the database reports a larger footprint still - around 18 million reagents from about 650 suppliers against some 40 million publications.

Provenance note - every citation traces to a named publication and every reagent to a named supplier, so any ranking this data produces can be audited back to the paper that cast the vote.

Notes that pair well with this page:

• Life & Health Insurance data hub - the pooled industry view this record sits inside, alongside mortality tables, claims benchmarks and coverage statistics.
• Best life sciences tools & services datasets - where this record lands on quality, coverage and delivery against the rest of the tools shelf.
• KFF State Health Facts and Health Policy Data - when the analysis turns from bench-side tooling spend to payer-side policy, this is the adjacent pole of the industry.