Evidence map›Paper›PMID 20616808›Full record

ReviewNature reviews. Drug discovery2010

Strategies in the design of nanoparticles for therapeutic applications.

Robby A Petros, Joseph M DeSimone

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Drug discovery, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1,052 papers.

0numbers the graph read from it
0cells of the map it votes in
1,052citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1,052 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Bypassing Heteronuclear MRI: Metal-Free Organosilicon Nanotracers for Background-Free HotspotAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  6. Article
  7. Article
  8. Green-SynthesizedBiomimetics (Basel, Switzerland) · 2026
    Article
  9. Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. Article
  16. Nanoparticles: An Emerging Hope in Cancer Therapy.Nanomaterials (Basel, Switzerland) · 2026
    Review
  17. Review
  18. Article
  19. Article
  20. Article

992 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Robby A PetrosDepartment of Chemistry, University of North Texas, Denton, Texas 76203, USA. petros@unt.edu
Joseph M DeSimone

Funding

"Smart" Nanoparticles for Cancer Therapy and ImagingU54CA119343 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI JULIANO, RUDOLPH · 2005 to 2009
$18.3M
TRANSPORT AND DELIVERY OF ANTISNESE OLIGONUCLEOTIDESP01GM059299 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI JULIANO, RUDOLPH · 2000 to 2010
$11.7M
NCI NIH HHS U54-CA119343NIGMS NIH HHS P01-GM059299
6 · The paper itself

Abstract

Engineered nanoparticles have the potential to revolutionize the diagnosis and treatment of many diseases; for example, by allowing the targeted delivery of a drug to particular subsets of cells. However, so far, such nanoparticles have not proved capable of surmounting all of the biological barriers required to achieve this goal. Nevertheless, advances in nanoparticle engineering, as well as advances in understanding the importance of nanoparticle characteristics such as size, shape and surface properties for biological interactions, are creating new opportunities for the development of nanoparticles for therapeutic applications. This Review focuses on recent progress important for the rational design of such nanoparticles and discusses the challenges to realizing the potential of nanoparticles.

Indexed as

Drug Delivery SystemsDrug DesignNanoparticlesHumansParticle SizePharmaceutical PreparationsSurface PropertiesPharmaceutical Preparations

Identifiers

PMID20616808

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.