Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 414

The DOI matches its Crossref record.

Nanosystems in Drug Targeting: Opportunities and Challenges

Vasir, Jaspreet K., Reddy, Maram K., Labhasetwar, Vinod D.·2005·Current Nanoscience

Abstract

The long cherished goal of targeting drugs to specific sites in the body, where the pharmacological action is desired and sparing other tissues has been actively pursued all these years. The concept of magic bullets given by Ehrlich has now seen a metamorphosis to magic wands, in the form of targeted drug delivery systems. The magic, all due to the specific targeting ligands which guide the drug carriers to the molecular targets be it on cell surface or nuclear membranes. Nanosystems including the nano-sized ( < 1000 nm) drug carrier systems, such as polymeric nanoparticles, liposomes, micelles and polymer-drug conjugates are the vanguards of this ever-evolving field. Targeting drugs to specific sites, and maintaining pharmacologically relevant drug levels at the site for a period required for desired therapeutic action is what makes the nanosystems - the burgeoning magic wands. Substantial challenges still exist in terms of biological barriers. Nevertheless, the approaches like directly reaching the target using catheters, or using exogenous guiding mechanisms (magnetic fields and ultrasound), and exploiting the accessible targets on vascular endothelium are emerging as new and promising trends. It is conceivable, that despite all the formidable challenges, interplay of different disciplines ranging from engineering to biology will make the dream of drug targeting come true !

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.2174/1573413052953110

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

See all 414

Metadata

Authors
Vasir, J. K., Reddy, M. K., & Labhasetwar, V. D.
Venue
Current Nanoscience
Published
2005-01
Volume
1
Issue
1
Pages
47-64
ISSN
1573-4137 (ISSN-L)
OpenAlex
W2094487294
Cited by
414
References
0
FWCI
9.62
Type
journal article
Language
en
Open access
closed

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.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Nanosystems in Drug Targeting: Opportunities and Challenges. https://app.cochat.ai/papers/10.2174/1573413052953110
The paper
Vasir, J. K., Reddy, M. K., & Labhasetwar, V. D. (2005). Nanosystems in Drug Targeting: Opportunities and Challenges. Current Nanoscience. https://doi.org/10.2174/1573413052953110

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.