Cited by 3,237Computational Drug Discovery MethodsPharmaceutical Economics and PolicyPharmaceutical studies and practices

Drug repositioning: identifying and developing new uses for existing drugs

Ashburn, Ted T., Thor, Karl B.·2004·Nature Reviews Drug Discovery

Integrity signals

Registry

Crossref · 10.1038/nrd1468

Cites

16 of 16 references verified0 citation errors · 0 not checkable

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Claims the paper makes

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  • Leading candidate repositionable drugs are already approved or have been through several stages of clinical development, so their pharmacological properties and safety in humans are already established.

    “One of the distinct advantages of repurposing is the fact that the leading candidate repositionable drugs are already approved or at the very least have been through several stages of clinical development, and therefore the pharmacological properties of these drugs, and their safety in humans are already established [63,64].”

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Authors
Ashburn, T. T., & Thor, K. B.
Corresponding author
Ashburn, Ted T.
Venue
Nature Reviews Drug Discovery
Published
2004-08
Volume
3
Issue
8
Pages
673-683
ISSN
  • 1474-1776 (ISSN-L)
  • 1474-1784
OpenAlex
W2062941476
Cited by
3,237
References
16
Citations by year
2026: 178 · 2025: 243 · 2024: 259 · 2023: 258 · 2022: 291 · 2021: 339 · 2020: 330 · 2019: 247 · 2018: 185 · 2017: 168 · 2016: 178 · 2015: 134 · 2014: 100 · 2013: 99 · 2012: 74
FWCI
0.70
Type
journal article
Language
en
Open access
closed
Locations
  • Nature Reviews Drug Discovery (publishedVersion)
  • PubMed (publishedVersion)
Funders
Eli Lilly and Company
Topics
  • Physical Sciences › Computer Science › Computational Theory and Mathematics › Computational Drug Discovery Methods
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Pharmaceutical Economics and Policy
  • Health Sciences › Medicine › Pediatrics, Perinatology and Child Health › Pharmaceutical studies and practices
Keywords
drug repurposing, new therapeutic indications, biotechnology companies
MeSH terms
Humans, Pharmacokinetics, Technology, Pharmaceutical, Therapeutic Equivalency, Drug Design, Drug Delivery Systems

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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