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For: Snir S, Farrell C, Pellegrini M. Human epigenetic ageing is logarithmic with time across the entire lifespan. Epigenetics 2019;14:912-26. [PMID: 31138013 DOI: 10.1080/15592294.2019.1623634] [Cited by in Crossref: 15] [Cited by in F6Publishing: 10] [Article Influence: 5.0] [Reference Citation Analysis]
Number Citing Articles
1 Larison B, Pinho GM, Haghani A, Zoller JA, Li CZ, Finno CJ, Farrell C, Kaelin CB, Barsh GS, Wooding B, Robeck TR, Maddox D, Pellegrini M, Horvath S. Epigenetic models developed for plains zebras predict age in domestic horses and endangered equids. Commun Biol 2021;4:1412. [PMID: 34921240 DOI: 10.1038/s42003-021-02935-z] [Reference Citation Analysis]
2 Larocca D, Lee J, West MD, Labat I, Sternberg H. No Time to Age: Uncoupling Aging from Chronological Time. Genes (Basel) 2021;12:611. [PMID: 33919082 DOI: 10.3390/genes12050611] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
3 Chen L, Ganz PA, Sehl ME. DNA Methylation, Aging, and Cancer Risk: A Mini-Review. Front Bioinform 2022;2:847629. [DOI: 10.3389/fbinf.2022.847629] [Reference Citation Analysis]
4 Sistani Allahabadi M, Khoshab H, Esfandiary F, Zaboli R. A cross sectional study on the relationship between nursing students' perception of clinical learning environment and the willingness to care for older adult patients. International Journal of Africa Nursing Sciences 2021;15:100369. [DOI: 10.1016/j.ijans.2021.100369] [Reference Citation Analysis]
5 Pinho GM, Martin JGA, Farrell C, Haghani A, Zoller JA, Zhang J, Snir S, Pellegrini M, Wayne RK, Blumstein DT, Horvath S. Hibernation slows epigenetic ageing in yellow-bellied marmots. Nat Ecol Evol 2022;6:418-26. [PMID: 35256811 DOI: 10.1038/s41559-022-01679-1] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
6 Lapborisuth K, Farrell C, Pellegrini M. Pseudotime Analysis Reveals Exponential Trends in DNA Methylation Aging with Mortality Associated Timescales. Cells 2022;11:767. [PMID: 35269389 DOI: 10.3390/cells11050767] [Reference Citation Analysis]
7 Simpson DJ, Chandra T. Epigenetic age prediction. Aging Cell 2021;20:e13452. [PMID: 34415665 DOI: 10.1111/acel.13452] [Cited by in Crossref: 10] [Cited by in F6Publishing: 7] [Article Influence: 10.0] [Reference Citation Analysis]
8 McKillop LE, Vyazovskiy VV. Sleep and ageing: from human studies to rodent models. Curr Opin Physiol 2020;15:210-6. [PMID: 32467862 DOI: 10.1016/j.cophys.2020.03.004] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 1.5] [Reference Citation Analysis]
9 Fairfield EA, Richardson DS, Daniels CL, Butler CL, Bell E, Taylor MI. Ageing European lobsters (Homarus gammarus) using DNA methylation of evolutionarily conserved ribosomal DNA. Evol Appl 2021;14:2305-18. [PMID: 34603500 DOI: 10.1111/eva.13296] [Reference Citation Analysis]
10 Garali I, Sahbatou M, Daunay A, Baudrin LG, Renault V, Bouyacoub Y, Deleuze JF, How-Kit A. Improvements and inter-laboratory implementation and optimization of blood-based single-locus age prediction models using DNA methylation of the ELOVL2 promoter. Sci Rep 2020;10:15652. [PMID: 32973211 DOI: 10.1038/s41598-020-72567-6] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
11 Han Y, Franzen J, Stiehl T, Gobs M, Kuo CC, Nikolić M, Hapala J, Koop BE, Strathmann K, Ritz-Timme S, Wagner W. New targeted approaches for epigenetic age predictions. BMC Biol 2020;18:71. [PMID: 32580727 DOI: 10.1186/s12915-020-00807-2] [Cited by in Crossref: 14] [Cited by in F6Publishing: 10] [Article Influence: 7.0] [Reference Citation Analysis]
12 Farrell C, Snir S, Pellegrini M. The Epigenetic Pacemaker: modeling epigenetic states under an evolutionary framework. Bioinformatics 2020;36:4662-3. [PMID: 32573701 DOI: 10.1093/bioinformatics/btaa585] [Cited by in Crossref: 3] [Cited by in F6Publishing: 1] [Article Influence: 3.0] [Reference Citation Analysis]
13 Rubbi L, Zhang H, Feng J, He C, Kurnia P, Ratan P, Tammana A, House S, Thompson M, Farrell C, Snir S, Stahler D, Ostrander EA, vonHoldt BM, Pellegrini M. The effects of age, sex, weight, and breed on canid methylomes. Epigenetics 2022;:1-16. [PMID: 35502722 DOI: 10.1080/15592294.2022.2069385] [Reference Citation Analysis]
14 Snir S. Epigenetic pacemaker: closed form algebraic solutions. BMC Genomics 2020;21:257. [PMID: 32299339 DOI: 10.1186/s12864-020-6606-0] [Reference Citation Analysis]
15 Mulder RH, Neumann A, Cecil CAM, Walton E, Houtepen LC, Simpkin AJ, Rijlaarsdam J, Heijmans BT, Gaunt TR, Felix JF, Jaddoe VWV, Bakermans-Kranenburg MJ, Tiemeier H, Relton CL, van IJzendoorn MH, Suderman M. Epigenome-wide change and variation in DNA methylation in childhood: trajectories from birth to late adolescence. Hum Mol Genet 2021;30:119-34. [PMID: 33450751 DOI: 10.1093/hmg/ddaa280] [Cited by in Crossref: 7] [Cited by in F6Publishing: 4] [Article Influence: 7.0] [Reference Citation Analysis]
16 Vershinina O, Bacalini MG, Zaikin A, Franceschi C, Ivanchenko M. Disentangling age-dependent DNA methylation: deterministic, stochastic, and nonlinear. Sci Rep 2021;11:9201. [PMID: 33911141 DOI: 10.1038/s41598-021-88504-0] [Cited by in Crossref: 2] [Article Influence: 2.0] [Reference Citation Analysis]
17 Guevara EE, Lawler RR, Staes N, White CM, Sherwood CC, Ely JJ, Hopkins WD, Bradley BJ. Age-associated epigenetic change in chimpanzees and humans. Philos Trans R Soc Lond B Biol Sci 2020;375:20190616. [PMID: 32951551 DOI: 10.1098/rstb.2019.0616] [Cited by in Crossref: 4] [Cited by in F6Publishing: 5] [Article Influence: 2.0] [Reference Citation Analysis]