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Cited by in F6Publishing
For: Huck BC, Murgia X, Frisch S, Hittinger M, Hidalgo A, Loretz B, Lehr CM. Models using native tracheobronchial mucus in the context of pulmonary drug delivery research: Composition, structure and barrier properties. Adv Drug Deliv Rev 2022;183:114141. [PMID: 35149123 DOI: 10.1016/j.addr.2022.114141] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 3.0] [Reference Citation Analysis]
Number Citing Articles
1 Ma S, Cong Z, Wei J, Chen W, Ge D, Yang F, Liao Y. Pulmonary delivery of size-transformable nanoparticles improves tumor accumulation and penetration for chemo-sonodynamic combination therapy. J Control Release 2022;350:132-45. [PMID: 35940360 DOI: 10.1016/j.jconrel.2022.08.003] [Reference Citation Analysis]
2 Kaler L, Joyner K, Duncan GA. Machine learning-informed predictions of nanoparticle mobility and fate in the mucus barrier. APL Bioeng 2022;6:026103. [PMID: 35757278 DOI: 10.1063/5.0091025] [Reference Citation Analysis]