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For: Fowler S, Chen WLK, Duignan DB, Gupta A, Hariparsad N, Kenny JR, Lai WG, Liras J, Phillips JA, Gan J. Microphysiological systems for ADME-related applications: current status and recommendations for system development and characterization. Lab Chip 2020;20:446-67. [PMID: 31932816 DOI: 10.1039/c9lc00857h] [Cited by in Crossref: 25] [Cited by in F6Publishing: 9] [Article Influence: 12.5] [Reference Citation Analysis]
Number Citing Articles
1 Trapecar M. Multiorgan microphysiological systems as tools to interrogate interorgan crosstalk and complex diseases. FEBS Lett 2021. [PMID: 34923635 DOI: 10.1002/1873-3468.14260] [Reference Citation Analysis]
2 Winkler TE, Herland A. Sorption of Neuropsychopharmaca in Microfluidic Materials for In Vitro Studies. ACS Appl Mater Interfaces 2021;13:45161-74. [PMID: 34528803 DOI: 10.1021/acsami.1c07639] [Reference Citation Analysis]
3 Shroff T, Aina K, Maass C, Cipriano M, Lambrecht J, Tacke F, Mosig A, Loskill P. Studying metabolism with multi-organ chips: new tools for disease modelling, pharmacokinetics and pharmacodynamics. Open Biol 2022;12:210333. [PMID: 35232251 DOI: 10.1098/rsob.210333] [Reference Citation Analysis]
4 Ching T, Toh YC, Hashimoto M, Zhang YS. Bridging the academia-to-industry gap: organ-on-a-chip platforms for safety and toxicology assessment. Trends Pharmacol Sci 2021;42:715-28. [PMID: 34187693 DOI: 10.1016/j.tips.2021.05.007] [Reference Citation Analysis]
5 Youhanna S, Kemas AM, Preiss L, Zhou Y, Shen JX, Cakal SD, Paqualini FS, Goparaju SK, Shafagh RZ, Lind JU, Sellgren CM, Lauschke VM. Organotypic and Microphysiological Human Tissue Models for Drug Discovery and Development-Current State-of-the-Art and Future Perspectives. Pharmacol Rev 2022;74:141-206. [PMID: 35017176 DOI: 10.1124/pharmrev.120.000238] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
6 Shou WZ. Current status and future directions of high-throughput ADME screening in drug discovery. J Pharm Anal 2020;10:201-8. [PMID: 32612866 DOI: 10.1016/j.jpha.2020.05.004] [Cited by in Crossref: 8] [Cited by in F6Publishing: 5] [Article Influence: 4.0] [Reference Citation Analysis]
7 Pin C, Collins T, Gibbs M, Kimko H. Systems Modeling to Quantify Safety Risks in Early Drug Development: Using Bifurcation Analysis and Agent-Based Modeling as Examples. AAPS J 2021;23:77. [PMID: 34018069 DOI: 10.1208/s12248-021-00580-2] [Reference Citation Analysis]
8 Mak KK, Epemolu O, Pichika MR. The role of DMPK science in improving pharmaceutical research and development efficiency. Drug Discov Today 2021:S1359-6446(21)00484-0. [PMID: 34774767 DOI: 10.1016/j.drudis.2021.11.005] [Reference Citation Analysis]
9 Franco YL, Da Silva L, Cristofoletti R. Navigating Through Cell-Based In vitro Models Available for Prediction of Intestinal Permeability and Metabolism: Are We Ready for 3D? AAPS J 2021;24:2. [PMID: 34811603 DOI: 10.1208/s12248-021-00665-y] [Reference Citation Analysis]
10 Milani N, Parrott N, Ortiz Franyuti D, Godoy P, Galetin A, Gertz M, Fowler S. Application of a gut-liver-on-a-chip device and mechanistic modelling to the quantitative in vitro pharmacokinetic study of mycophenolate mofetil. Lab Chip 2022;22:2853-68. [PMID: 35833849 DOI: 10.1039/d2lc00276k] [Reference Citation Analysis]
11 Yuan Y, Zhang J, Fang B, Xiang X, Ma G, Zhang S, Zhu B, Cai W. A Novel Method for Predicting the Human Inherent Clearance and Its Application in the Study of the Pharmacokinetics and Drug-Drug Interaction between Azidothymidine and Fluconazole Mediated by UGT Enzyme. Pharmaceutics 2021;13:1734. [PMID: 34684027 DOI: 10.3390/pharmaceutics13101734] [Reference Citation Analysis]
12 Ishida S. Research and Development of Microphysiological Systems in Japan Supported by the AMED-MPS Project. Front Toxicol 2021;3:657765. [PMID: 35295097 DOI: 10.3389/ftox.2021.657765] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
13 Low LA, Mummery C, Berridge BR, Austin CP, Tagle DA. Organs-on-chips: into the next decade. Nat Rev Drug Discov 2021;20:345-61. [PMID: 32913334 DOI: 10.1038/s41573-020-0079-3] [Cited by in Crossref: 60] [Cited by in F6Publishing: 66] [Article Influence: 30.0] [Reference Citation Analysis]
14 Hargrove-Grimes P, Low LA, Tagle DA. Microphysiological systems: What it takes for community adoption. Exp Biol Med (Maywood) 2021;246:1435-46. [PMID: 33899539 DOI: 10.1177/15353702211008872] [Reference Citation Analysis]
15 Rubiano A, Indapurkar A, Yokosawa R, Miedzik A, Rosenzweig B, Arefin A, Moulin CM, Dame K, Hartman N, Volpe DA, Matta MK, Hughes DJ, Strauss DG, Kostrzewski T, Ribeiro AJS. Characterizing the reproducibility in using a liver microphysiological system for assaying drug toxicity, metabolism, and accumulation. Clin Transl Sci 2021;14:1049-61. [PMID: 33382907 DOI: 10.1111/cts.12969] [Cited by in Crossref: 7] [Cited by in F6Publishing: 6] [Article Influence: 7.0] [Reference Citation Analysis]
16 Eslami Amirabadi H, Donkers JM, Wierenga E, Ingenhut B, Pieters L, Stevens L, Donkers T, Westerhout J, Masereeuw R, Bobeldijk-Pastorova I, Nooijen I, van de Steeg E. Intestinal explant barrier chip: long-term intestinal absorption screening in a novel microphysiological system using tissue explants. Lab Chip 2021. [PMID: 34877953 DOI: 10.1039/d1lc00669j] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 3.0] [Reference Citation Analysis]
17 Maoz BM. Brain-on-a-Chip: Characterizing the next generation of advanced in vitro platforms for modeling the central nervous system. APL Bioeng 2021;5:030902. [PMID: 34368601 DOI: 10.1063/5.0055812] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
18 Shinha K, Nihei W, Nakamura H, Goto T, Kawanishi T, Ishida N, Yamazaki N, Imakura Y, Mima S, Inamura K, Arakawa H, Nishikawa M, Kato Y, Sakai Y, Kimura H. A Kinetic Pump Integrated Microfluidic Plate (KIM-Plate) with High Usability for Cell Culture-Based Multiorgan Microphysiological Systems. Micromachines (Basel) 2021;12:1007. [PMID: 34577652 DOI: 10.3390/mi12091007] [Reference Citation Analysis]