BPG is committed to discovery and dissemination of knowledge
Cited by in F6Publishing
For: Chi J, Xie Q, Jia J, Liu X, Sun J, Deng Y, Yi L. Integrated Analysis and Identification of Novel Biomarkers in Parkinson's Disease. Front Aging Neurosci 2018;10:178. [PMID: 29967579 DOI: 10.3389/fnagi.2018.00178] [Cited by in Crossref: 24] [Cited by in F6Publishing: 21] [Article Influence: 6.0] [Reference Citation Analysis]
Number Citing Articles
1 Zhang Y, Niu C. Relation of CDC42, Th1, Th2, and Th17 cells with cognitive function decline in Alzheimer's disease. Ann Clin Transl Neurol 2022. [PMID: 35976992 DOI: 10.1002/acn3.51643] [Reference Citation Analysis]
2 Noronha O, Mesarosovo L, Anink JJ, Iyer A, Aronica E, Mills JD. Differentially Expressed miRNAs in Age-Related Neurodegenerative Diseases: A Meta-Analysis. Genes (Basel) 2022;13:1034. [PMID: 35741796 DOI: 10.3390/genes13061034] [Reference Citation Analysis]
3 Augustine J, Jereesh AS. Blood-based gene-expression biomarkers identification for the non-invasive diagnosis of Parkinson's disease using two-layer hybrid feature selection. Gene 2022;823:146366. [PMID: 35202733 DOI: 10.1016/j.gene.2022.146366] [Reference Citation Analysis]
4 Gentile G, Morello G, La Cognata V, Guarnaccia M, Conforti FL, Cavallaro S. Dysregulated miRNAs as Biomarkers and Therapeutical Targets in Neurodegenerative Diseases. JPM 2022;12:770. [DOI: 10.3390/jpm12050770] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
5 Ying L, Zhao J, Ye Y, Liu Y, Xiao B, Xue T, Zhu H, Wu Y, He J, Qin S, Jiang Y, Guo F, Zhang L, Liu N, Zhang L. Regulation of Cdc42 signaling by the dopamine D2 receptor in a mouse model of Parkinson's disease. Aging Cell 2022;21:e13588. [PMID: 35415964 DOI: 10.1111/acel.13588] [Reference Citation Analysis]
6 Chis AR, Moatar AI, Dijmarescu C, Rosca C, Vorovenci RJ, Krabbendam I, Dolga A, Bejinar C, Marian C, Sirbu IO, Simu M. Plasma hsa-mir-19b is a potential LevoDopa therapy marker. J Cell Mol Med 2021. [PMID: 34328686 DOI: 10.1111/jcmm.16827] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
7 Dong LI, Zheng Y, Gao L, Luo X. lncRNA NEAT1 prompts autophagy and apoptosis in MPTP-induced Parkinson's disease by impairing miR-374c-5p. Acta Biochim Biophys Sin (Shanghai) 2021;53:870-82. [PMID: 33984130 DOI: 10.1093/abbs/gmab055] [Cited by in Crossref: 9] [Cited by in F6Publishing: 7] [Article Influence: 9.0] [Reference Citation Analysis]
8 Kern F, Fehlmann T, Violich I, Alsop E, Hutchins E, Kahraman M, Grammes NL, Guimarães P, Backes C, Poston KL, Casey B, Balling R, Geffers L, Krüger R, Galasko D, Mollenhauer B, Meese E, Wyss-coray T, Craig DW, Van Keuren-jensen K, Keller A. Deep sequencing of sncRNAs reveals hallmarks and regulatory modules of the transcriptome during Parkinson’s disease progression. Nat Aging 2021;1:309-22. [DOI: 10.1038/s43587-021-00042-6] [Cited by in Crossref: 3] [Cited by in F6Publishing: 4] [Article Influence: 3.0] [Reference Citation Analysis]
9 Anirudhan A, Angulo-Bejarano PI, Paramasivam P, Manokaran K, Kamath SM, Murugesan R, Sharma A, Ahmed SSSJ. RPL6: A Key Molecule Regulating Zinc- and Magnesium-Bound Metalloproteins of Parkinson's Disease. Front Neurosci 2021;15:631892. [PMID: 33790735 DOI: 10.3389/fnins.2021.631892] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
10 Krokidis MG, Exarchos TP, Vlamos P. Data-driven biomarker analysis using computational omics approaches to assess neurodegenerative disease progression. Math Biosci Eng 2021;18:1813-32. [PMID: 33757212 DOI: 10.3934/mbe.2021094] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
11 Vavougios GD. Human coronaviruses in idiopathic Parkinson's disease: Implications of SARS-CoV-2's modulation of the host's transcriptome. Infect Genet Evol 2021;89:104733. [PMID: 33516970 DOI: 10.1016/j.meegid.2021.104733] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
12 Arrazola Sastre A, Luque Montoro M, Gálvez-Martín P, Lacerda HM, Lucia AM, Llavero F, Zugaza JL. Small GTPases of the Ras and Rho Families Switch on/off Signaling Pathways in Neurodegenerative Diseases. Int J Mol Sci 2020;21:E6312. [PMID: 32878220 DOI: 10.3390/ijms21176312] [Cited by in Crossref: 10] [Cited by in F6Publishing: 14] [Article Influence: 5.0] [Reference Citation Analysis]
13 Ozdilek B, Demircan B. Serum microRNA expression levels in Turkish patients with Parkinson's disease. Int J Neurosci 2020;:1-9. [PMID: 32546033 DOI: 10.1080/00207454.2020.1784165] [Cited by in Crossref: 5] [Cited by in F6Publishing: 9] [Article Influence: 2.5] [Reference Citation Analysis]
14 Sancandi M, Uysal-Onganer P, Kraev I, Mercer A, Lange S. Protein Deimination Signatures in Plasma and Plasma-EVs and Protein Deimination in the Brain Vasculature in a Rat Model of Pre-Motor Parkinson's Disease. Int J Mol Sci 2020;21:E2743. [PMID: 32326590 DOI: 10.3390/ijms21082743] [Cited by in Crossref: 10] [Cited by in F6Publishing: 15] [Article Influence: 5.0] [Reference Citation Analysis]
15 Schulz J, Takousis P, Wohlers I, Itua IOG, Dobricic V, Rücker G, Binder H, Middleton L, Ioannidis JPA, Perneczky R, Bertram L, Lill CM. Meta-analyses identify differentially expressed micrornas in Parkinson's disease. Ann Neurol 2019;85:835-51. [PMID: 30990912 DOI: 10.1002/ana.25490] [Cited by in Crossref: 31] [Cited by in F6Publishing: 48] [Article Influence: 15.5] [Reference Citation Analysis]
16 Krokidis MG. Identification of biomarkers associated with Parkinson's disease by gene expression profiling studies and bioinformatics analysis. AIMS Neurosci 2019;6:333-45. [PMID: 32341987 DOI: 10.3934/Neuroscience.2019.4.333] [Cited by in Crossref: 2] [Cited by in F6Publishing: 4] [Article Influence: 0.7] [Reference Citation Analysis]
17 Wen M, Qu X, Zhu Y, Tian L, Shen Z, Yang X, Shi X. Exploration of Novel Biomarkers in Vasculitis by Integrated Bioinfomatic Approaches. J Comput Biol 2019;26:1448-57. [PMID: 31356108 DOI: 10.1089/cmb.2019.0176] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.3] [Reference Citation Analysis]
18 Jiang F, Wu Q, Sun S, Bi G, Guo L. Identification of potential diagnostic biomarkers for Parkinson's disease. FEBS Open Bio 2019;9:1460-8. [PMID: 31199560 DOI: 10.1002/2211-5463.12687] [Cited by in Crossref: 11] [Cited by in F6Publishing: 20] [Article Influence: 3.7] [Reference Citation Analysis]
19 Yang Z, Li T, Cui Y, Li S, Cheng C, Shen B, Le W. Elevated Plasma microRNA-105-5p Level in Patients With Idiopathic Parkinson's Disease: A Potential Disease Biomarker. Front Neurosci 2019;13:218. [PMID: 30936821 DOI: 10.3389/fnins.2019.00218] [Cited by in Crossref: 11] [Cited by in F6Publishing: 16] [Article Influence: 3.7] [Reference Citation Analysis]
20 Kelly J, Moyeed R, Carroll C, Albani D, Li X. Gene expression meta-analysis of Parkinson's disease and its relationship with Alzheimer's disease. Mol Brain 2019;12:16. [PMID: 30819229 DOI: 10.1186/s13041-019-0436-5] [Cited by in Crossref: 28] [Cited by in F6Publishing: 25] [Article Influence: 9.3] [Reference Citation Analysis]
21 Zhou Y, Gu C, Li J, Zhu L, Huang G, Dai J, Huang H. Aberrantly expressed long noncoding RNAs and genes in Parkinson's disease. Neuropsychiatr Dis Treat 2018;14:3219-29. [PMID: 30538480 DOI: 10.2147/NDT.S178435] [Cited by in Crossref: 19] [Cited by in F6Publishing: 18] [Article Influence: 4.8] [Reference Citation Analysis]