The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.
Size, shape, charge and “stealthy” surface: Carrier properties affect the drug circulation time in vivo
Open accessAbstract
The present review sets out to discuss recent developments of the effects and mechanisms of carrier properties on their circulation time. For most drugs, sufficient in vivo circulation time is the basis of high bioavailability. Drug carrier plays an irreplaceable role in helping drug avoid being quickly recognized and cleared by mononuclear phagocyte system, to give drug enough time to arrive at targeted organ and tissue to play its therapeutic effect. The physical and chemical properties of drug carriers, such as size, shape, surface charge and surface modification, would affect their in vivo circulation time, metabolic behavior and biodistribution. The final circulation time of carriers is determined by the balance between macrophage recognitions, blood vessel penetration and urine excretion. Therefore, when designing the drug delivery system, we should pay much attention to the properties of drug carriers to get enough in vivo circulation time to arrive at target site eventually. This article mainly reviews the effect of carrier size, size, surface charge and surface properties on its circulation time in vivo, and discusses the mechanism of these properties affecting circulation time. This review has reference significance for the research of long-circulation drug delivery system.
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.
Integrity signals
Registry
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.
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
Cites
Renal clearance of quantum dots
Soo Choi, H., Liu, W., Misra, P., Tanaka, E., Zimmer, J. P., Itty Ipe, B., Bawendi, M. G., & Frangioni, J. V. (2007) · Nature Biotechnology · doi:10.1038/nbt1340 · Cited by 4,476
Effect of pegylation on pharmaceuticals
Harris, J. M., & Chess, R. B. (2003) · Nature Reviews Drug Discovery · doi:10.1038/nrd1033 · Cited by 3,431
The effect of particle design on cellular internalization pathways
Gratton, S. E. A., Ropp, P. A., Pohlhaus, P. D., Luft, J. C., Madden, V. J., Napier, M. E., & DeSimone, J. M. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0801763105 · Cited by 2,918
Longmire, M., Choyke, P. L., & Kobayashi, H. (2008) · Nanomedicine · doi:10.2217/17435889.3.5.703 · Cited by 2,149
The Effect of Nanoparticle Size on In Vivo Pharmacokinetics and Cellular Interaction
Hoshyar, N., Gray, S., Han, H., & Bao, G. (2016) · Nanomedicine · doi:10.2217/nnm.16.5 · Cited by 1,990
Insoluble drug delivery strategies: review of recent advances and business prospects
Kalepu, S., & Nekkanti, V. (2015) · Acta Pharmaceutica Sinica B · doi:10.1016/j.apsb.2015.07.003 · Cited by 1,410
Biodegradable nanoparticles for drug delivery and targeting
Hans, M. L., & Lowman, A. M. (2002) · Current Opinion in Solid State and Materials Science · doi:10.1016/s1359-0286(02)00117-1 · Cited by 1,324
Scavenger receptors in homeostasis and immunity
Canton, J., Neculai, D., & Grinstein, S. (2013) · Nature Reviews Immunology · doi:10.1038/nri3515 · Cited by 838
Parameters influencing the stealthiness of colloidal drug delivery systems
Vonarbourg, A., Passirani, C., Saulnier, P., & Benoit, J.-P. (2006) · Biomaterials · doi:10.1016/j.biomaterials.2006.03.039 · Cited by 740
Liver sinusoidal endothelial cells in hepatic fibrosis
DeLeve, L. D. (2015) · Hepatology · doi:10.1002/hep.27376 · Cited by 482
Cited by
Smart Nanomaterials in Cancer Theranostics: Challenges and Opportunities
Kashyap, B. K., Singh, V. V., Solanki, M. K., Kumar, A., Ruokolainen, J., & Kesari, K. K. (2023) · ACS Omega · doi:10.1021/acsomega.2c07840 · Cited by 348
Li, M., Gao, Z., Lv, H., Sekhar, K. P. C., Song, A., Jiang, X., Hao, J., & Cui, J. (2025) · ACS Nano · doi:10.1021/acsnano.5c03978 · Cited by 31
Metadata
- Authors
- Di, J., Gao, X., Du, Y., Zhang, H., Gao, J., & Zheng, A.
- Venue
- Asian Journal of Pharmaceutical Sciences
- Publisher
- Elsevier BV
- Published
- 2021-07
- Volume
- 16
- Issue
- 4
- Pages
- 444-458
- ISSN
- 1818-0876 (ISSN-L)
- OpenAlex
- W3082800301
- Cited by
- 229
- References
- 15
- FWCI
- 5.61
- Type
- journal article
- Language
- en
- Open access
- diamond
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: Size, shape, charge and “stealthy” surface: Carrier properties affect the drug circulation time in vivo. https://app.cochat.ai/papers/10.1016/j.ajps.2020.07.005
- The paper
- Di, J., Gao, X., Du, Y., Zhang, H., Gao, J., & Zheng, A. (2021). Size, shape, charge and “stealthy” surface: Carrier properties affect the drug circulation time in vivo. Asian Journal of Pharmaceutical Sciences. https://doi.org/10.1016/j.ajps.2020.07.005
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.