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Cited by 220

The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.

Guidelines for clinical translation and commercialization of extracellular vesicles and exosomes based therapeutics

Open access
Cheng, Ke, Kalluri, Raghu·2023·Extracellular Vesicle

Abstract

Extracellular vesicles (EVs) are lipid-bilayer delimited membrane structures released by cells, and play a role in intercell communication and disease development. The Global market for EVs in diagnostic and therapeutic applications is expanding. This review maps the current status of EV industry, summarizes the recent advances in EV manufacturing, and focuses on preclinical research involving EVs. The complexity and heterogeneity of EVs provide new opportunities for the development of clinical-grade EV products. The standardization of manufacturing and robust quality control must meet all the Food and Drug Administration requirements and expectations. We believe the evolution of EV research and their mass production with stringency will open a new era of EV-based products in the near future.

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Crossref · 10.1016/j.vesic.2023.100029

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Metadata

Authors
Cheng, K., & Kalluri, R.
Venue
Extracellular Vesicle
Publisher
Elsevier BV
Published
2023-12
Volume
2
Pages
100029
ISSN
2773-0417 (ISSN-L)
OpenAlex
W4387226971
Cited by
220
References
12
FWCI
16.44
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Guidelines for clinical translation and commercialization of extracellular vesicles and exosomes based therapeutics. https://app.cochat.ai/papers/10.1016/j.vesic.2023.100029
The paper
Cheng, K., & Kalluri, R. (2023). Guidelines for clinical translation and commercialization of extracellular vesicles and exosomes based therapeutics. Extracellular Vesicle. https://doi.org/10.1016/j.vesic.2023.100029

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.