Evidence map›Paper›PMID 27040463›Full record

ReviewWiley interdisciplinary reviews. Nanomedicine and nanobiotechnology2016

Functional nanoparticles for magnetic resonance imaging.

Xinpei Mao, Jiadi Xu, Honggang Cui

Abstract readReview
In one paragraph

Review in Wiley interdisciplinary reviews. Nanomedicine and nanobiotechnology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Contrast Agents for Enhanced Bioimaging: A Comprehensive Review.Chembiochem : a European journal of chemical biology · 2026
    Review
  2. Review
  3. Magnetic nanoparticles for cancer theranostics.Biomedical physics & engineering express · 2026
    Review
  4. Bioelectronics forNanotheranostics · 2026
    Review
  5. Multifunctional Magnetic Resonance Imaging Probes.Recent results in cancer research. Fortschritte der Krebsforschung. Progres dans les recherches sur le cancer · 2026
    Review
  6. Article
  7. Effect of EuRSC advances · 2025
    Article
  8. Polymer Nanoparticles Advancements for Gynecological Cancers.International journal of nanomedicine · 2025
    Review
  9. Review
  10. Article
  11. Review
  12. Review
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Review
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

3 authors.

Xinpei MaoDepartment of Chemical and Biomolecular Engineering, The Johns Hopkins University, Baltimore, MD, USA.
Jiadi XuRussell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Honggang CuiDepartment of Chemical and Biomolecular Engineering, The Johns Hopkins University, Baltimore, MD, USA. hcui6@jhu.edu.

Funding

Camptothecin Transformative Nanotubes as Effective Drug CarriersR21CA191740 · NCI · JOHNS HOPKINS UNIVERSITY · PI CUI, HONGGANG · 2015 to 2016
$377k
NCI NIH HHS R21 CA191740
6 · The paper itself

Abstract

Nanoparticle-based magnetic resonance imaging (MRI) contrast agents have received much attention over the past decade. By virtue of a high payload of magnetic moieties, enhanced accumulation at disease sites, and a large surface area for additional modification with targeting ligands, nanoparticle-based contrast agents offer promising new platforms to further enhance the high resolution and sensitivity of MRI for various biomedical applications. T

Indexed as

Contrast MediaMagnetite NanoparticlesMagnetic Resonance ImagingTheranostic NanomedicineContrast MediaMagnetite Nanoparticles

Identifiers

PMID27040463
PMCPMC5050056

What OpenQuestion holds

Textmetadata
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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.