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For: Zhou A, Ruan L, Duan G, Li J. Quantitative Study of Impurities in Enzalutamide and Identification, Isolation, Characterization of Its Four Degradation Products Using HPLC, Semi-preparative LC, LC/ESI–MS and NMR Analyses. Chromatographia 2018. [DOI: 10.1007/s10337-018-3611-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]

For:	Zhou A, Ruan L, Duan G, Li J. Quantitative Study of Impurities in Enzalutamide and Identification, Isolation, Characterization of Its Four Degradation Products Using HPLC, Semi-preparative LC, LC/ESI–MS and NMR Analyses. Chromatographia 2018. [DOI: 10.1007/s10337-018-3611-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]

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Cited by Other Article(s)

Bondigalla R, Challa GN, Yarraguntla SR, Bandu R, Alla SR. Characteristics, properties, and analytical and bio‐analytical methods of enzalutamide: A review. SEPARATION SCIENCE PLUS 2023. [DOI: 10.1002/sscp.202200119] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/11/2023]

Computational design and fabrication of a highly selective and sensitive molecularly imprinted electrochemical sensor for the detection of enzalutamide. J Electroanal Chem (Lausanne) 2022. [DOI: 10.1016/j.jelechem.2022.116030] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]

Haidar Ahmad IA, Chen W, Halsey HM, Klapars A, Limanto J, Pirrone GF, Nowak T, Bennett R, Hartman R, Makarov AA, Mangion I, Regalado EL. Multi-column ultra-high performance liquid chromatography screening with chaotropic agents and computer-assisted separation modeling enables process development of new drug substances. Analyst 2019;144:2872-2880. [DOI: 10.1039/c8an02499e] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]