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For: Jansen R, Han LK, Verhoeven JE, Aberg KA, van den Oord EC, Milaneschi Y, Penninx BW. An integrative study of five biological clocks in somatic and mental health. Elife 2021;10:e59479. [PMID: 33558008 DOI: 10.7554/eLife.59479] [Cited by in Crossref: 24] [Cited by in F6Publishing: 25] [Article Influence: 24.0] [Reference Citation Analysis]
Number Citing Articles
1 Sturm G, Monzel AS, Karan KR, Michelson J, Ware SA, Cardenas A, Lin J, Bris C, Santhanam B, Murphy MP, Levine ME, Horvath S, Belsky DW, Wang S, Procaccio V, Kaufman BA, Hirano M, Picard M. A multi-omics longitudinal aging dataset in primary human fibroblasts with mitochondrial perturbations. Sci Data 2022;9:751. [PMID: 36463290 DOI: 10.1038/s41597-022-01852-y] [Reference Citation Analysis]
2 Panyard DJ, Yu B, Snyder MP. The metabolomics of human aging: Advances, challenges, and opportunities. Sci Adv 2022;8:eadd6155. [PMID: 36260671 DOI: 10.1126/sciadv.add6155] [Reference Citation Analysis]
3 Sanders F, Baltramonaityte V, Donohoe G, Davies NM, Dunn EC, Cecil CA, Walton E. Associations between methylation age and brain age in late adolescence.. [DOI: 10.1101/2022.09.08.506972] [Reference Citation Analysis]
4 Cai Y, Song W, Li J, Jing Y, Liang C, Zhang L, Zhang X, Zhang W, Liu B, An Y, Li J, Tang B, Pei S, Wu X, Liu Y, Zhuang C, Ying Y, Dou X, Chen Y, Xiao F, Li D, Yang R, Zhao Y, Wang Y, Wang L, Li Y, Ma S, Wang S, Song X, Ren J, Zhang L, Wang J, Zhang W, Xie Z, Qu J, Wang J, Xiao Y, Tian Y, Wang G, Hu P, Ye J, Sun Y, Mao Z, Kong Q, Liu Q, Zou W, Tian X, Xiao Z, Liu Y, Liu J, Song M, Han JJ, Liu G. The landscape of aging. Sci China Life Sci 2022. [DOI: 10.1007/s11427-022-2161-3] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
5 Mutz J, Lewis CM. Telomere length associations with clinical diagnosis, age and polygenic risk scores for anxiety disorder, depression and bipolar disorder. Biological Psychiatry Global Open Science 2022. [DOI: 10.1016/j.bpsgos.2022.08.008] [Reference Citation Analysis]
6 Beltrán-sánchez H, Palloni A, Huangfu Y, Mceniry MC. Modeling biological age and its link with the aging process. PNAS Nexus 2022;1. [DOI: 10.1093/pnasnexus/pgac135] [Reference Citation Analysis]
7 Rutledge J, Oh H, Wyss-Coray T. Measuring biological age using omics data. Nat Rev Genet 2022. [PMID: 35715611 DOI: 10.1038/s41576-022-00511-7] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
8 A. Markovics J. Training the Conductor of the Brainwave Symphony: In Search of a Common Mechanism of Action for All Methods of Neurofeedback. Artificial Intelligence 2022. [DOI: 10.5772/intechopen.98343] [Reference Citation Analysis]
9 Schork NJ, Beaulieu-Jones B, Liang W, Smalley S, Goetz LH. Does Modulation of an Epigenetic Clock Define a Geroprotector? Adv Geriatr Med Res 2022;4:e220002. [PMID: 35466328 DOI: 10.20900/agmr20220002] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
10 Mutz J, Lewis CM. Telomere length and its associations with mental disorders, age and genetic risk for mental disorders.. [DOI: 10.1101/2022.03.29.22273140] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
11 Graf GH, Crowe CL, Kothari M, Kwon D, Manly JJ, Turney IC, Valeri L, Belsky DW. Testing Black-White Disparities in Biological Aging Among Older Adults in the United States: Analysis of DNA-Methylation and Blood-Chemistry Methods. Am J Epidemiol 2022;191:613-25. [PMID: 34850809 DOI: 10.1093/aje/kwab281] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 4.0] [Reference Citation Analysis]
12 Raffington L, Belsky DW. Integrating DNA Methylation Measures of Biological Aging into Social Determinants of Health Research. Curr Environ Health Rep 2022. [PMID: 35181865 DOI: 10.1007/s40572-022-00338-8] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
13 Zhao X, Golic FT, Harrison BR, Manoj M, Hoffman EV, Simon N, Johnson R, MacCoss MJ, McIntyre LM, Promislow DEL. The metabolome as a biomarker of aging in Drosophila melanogaster. Aging Cell 2022;21:e13548. [PMID: 35019203 DOI: 10.1111/acel.13548] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
14 Dyakin VV, Dyakina-Fagnano NV, Mcintire LB, Uversky VN. Fundamental Clock of Biological Aging: Convergence of Molecular, Neurodegenerative, Cognitive and Psychiatric Pathways: Non-Equilibrium Thermodynamics Meet Psychology. Int J Mol Sci 2021;23:285. [PMID: 35008708 DOI: 10.3390/ijms23010285] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
15 Sturm G, Monzel AS, Karan KR, Michelson J, Ware SA, Cardenas A, Lin J, Bris C, Santhanam B, Murphy MP, Levine ME, Horvath S, Belsky DW, Wang S, Procaccio V, Kaufman BA, Hirano M, Picard M. A Multi-Omics Longitudinal Aging Dataset in Primary Human Fibroblasts with Mitochondrial Perturbations.. [DOI: 10.1101/2021.11.12.468448] [Cited by in Crossref: 4] [Cited by in F6Publishing: 5] [Article Influence: 4.0] [Reference Citation Analysis]
16 Kolesnikova OV, LT Malaya National Institute of Therapy National Academy of Medical Sciences of Ukraine. 2-a, Lyubov Malaya Pr., Kharkiv 61039, Ukraine, Zaprovalna OE, Potapenko AV. Relationship of Risk Factors for Metabolic-Associated Diseases with Biological Age. Ukr ž med bìol sportu 2021;6:184-192. [DOI: 10.26693/jmbs06.05.184] [Reference Citation Analysis]
17 Fermín-martínez CA, Márquez-salinas A, Guerra EC, Zavala-romero L, Antonio-villa NE, Fernández-chirino L, Sandoval-colin E, Barquera-guevara DA, Muñoz AC, Gutiérrez-robledo LM, Bello-chavolla OY. AnthropoAge, a novel approach to integrate body composition into the estimation of biological age.. [DOI: 10.1101/2021.09.23.21263703] [Reference Citation Analysis]
18 Belsky D, Caspi A, Corcoran D, Sugden K, Poulton R, Arseneault L, Baccarelli A, Chamarti K, Gao X, Hannon E, Harrington H, Houts R, Kothari M, Kwon D, Mill J, Schwartz J, Vokonas P, Wang C, Williams B, Moffitt T. DunedinPACE: A DNA methylation biomarker of the Pace of Aging.. [DOI: 10.1101/2021.08.30.21262858] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 5.0] [Reference Citation Analysis]
19 Han LKM, Schnack HG, Brouwer RM, Veltman DJ, van der Wee NJA, van Tol MJ, Aghajani M, Penninx BWJH. Contributing factors to advanced brain aging in depression and anxiety disorders. Transl Psychiatry 2021;11:402. [PMID: 34290222 DOI: 10.1038/s41398-021-01524-2] [Cited by in Crossref: 6] [Cited by in F6Publishing: 7] [Article Influence: 6.0] [Reference Citation Analysis]
20 Łukaszyk E, Bień-Barkowska K, Bień B. Identification of Mortality Risks in the Advancement of Old Age: Application of Proportional Hazard Models Based on the Stepwise Variable Selection and the Bayesian Model Averaging Approach. Nutrients 2021;13:1098. [PMID: 33801694 DOI: 10.3390/nu13041098] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
21 Graf G, Crowe C, Kothari M, Kwon D, Manly J, Turney I, Valeri L, Belsky D. Testing Black-White disparities in biological aging in older adults in the United States: analysis of DNA-methylation and blood-chemistry methods.. [DOI: 10.1101/2021.03.02.21252685] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 4.0] [Reference Citation Analysis]
22 Kothari M, Belsky DW. Unite to predict. Elife 2021;10:e66223. [PMID: 33576740 DOI: 10.7554/eLife.66223] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 4.0] [Reference Citation Analysis]
23 Macdonald-dunlop E, Taba N, Klaric L, Frkatovic A, Walker R, Hayward C, Esko T, Haley C, Fischer K, Wilson JF, Joshi PK. A catalogue of omics biological ageing clocks reveals substantial commonality and associations with disease risk.. [DOI: 10.1101/2021.02.01.429117] [Reference Citation Analysis]