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For: Cueno ME, Imai K. Various cellular stress components change as the rat ages: An insight into the putative overall age-related cellular stress network. Exp Gerontol 2018;102:36-42. [PMID: 29197562 DOI: 10.1016/j.exger.2017.11.021] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 0.6] [Reference Citation Analysis]
Number Citing Articles
1 Schira-heinen J, Grube L, Waldera-lupa DM, Baberg F, Langini M, Etemad-parishanzadeh O, Poschmann G, Stühler K. Pitfalls and opportunities in the characterization of unconventionally secreted proteins by secretome analysis. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics 2019;1867:140237. [DOI: 10.1016/j.bbapap.2019.06.004] [Cited by in Crossref: 7] [Cited by in F6Publishing: 5] [Article Influence: 2.3] [Reference Citation Analysis]
2 Cueno ME, Imai K. Network analytics approach towards identifying potential antivirulence drug targets within the Staphylococcus aureus staphyloxanthin biosynthetic network. Arch Biochem Biophys 2018;645:81-6. [PMID: 29551420 DOI: 10.1016/j.abb.2018.03.010] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 1.0] [Reference Citation Analysis]
3 Norrara B, Fiuza FP, Arrais AC, Costa IM, Santos JR, Engelberth RCG, Cavalcante JS, Guzen FP, Cavalcanti JRLP, Freire MAM. Pattern of tyrosine hydroxylase expression during aging of mesolimbic pathway of the rat. Journal of Chemical Neuroanatomy 2018;92:83-91. [DOI: 10.1016/j.jchemneu.2018.05.004] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 0.8] [Reference Citation Analysis]
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