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Cited by 613

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Nanotechnology for the biologist

McNeil, Scott E·2005·Journal of Leukocyte Biology

Abstract

Nanotechnology refers to research and technology development at the atomic, molecular, and macromolecular scale, leading to the controlled manipulation and study of structures and devices with length scales in the 1- to 100-nanometers range. Objects at this scale, such as “nanoparticles,” take on novel properties and functions that differ markedly from those seen in the bulk scale. The small size, surface tailorability, improved solubility, and multifunctionality of nanoparticles open many new research avenues for biologists. The novel properties of nanomaterials offer the ability to interact with complex biological functions in new ways—operating at the very scale of biomolecules. This rapidly growing field allows cross-disciplinary researchers the opportunity to design and develop multifunctional nanoparticles that can target, diagnose, and treat diseases such as cancer. This article presents an overview of nanotechnology for the biologist and discusses “nanotech” strategies and constructs that have already demonstrated in vitro and in vivo efficacy.

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Crossref · 10.1189/jlb.0205074

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Metadata

Authors
McNeil, S. E.
Venue
Journal of Leukocyte Biology
Published
2005-05-27
Volume
78
Issue
3
Pages
585-594
ISSN
  • 0741-5400 (ISSN-L)
  • 1938-3673
OpenAlex
W2025645678
Cited by
613
References
3
FWCI
12.05
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Nanotechnology for the biologist. https://app.cochat.ai/papers/10.1189/jlb.0205074
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McNeil, S. E. (2005). Nanotechnology for the biologist. Journal of Leukocyte Biology. https://doi.org/10.1189/jlb.0205074

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.