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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

A pan-tissue DNA-methylation epigenetic clock based on deep learning
Lucas Paulo de Lima Camillo, Louis R. Lapierre, Ritambhara Singh
npj Aging (2022) Vol. 8, Iss. 1
Open Access | Times Cited: 70

Showing 1-25 of 70 citing articles:

Refining epigenetic prediction of chronological and biological age
Elena Bernabeu, Daniel L. McCartney, Danni A. Gadd, et al.
Genome Medicine (2023) Vol. 15, Iss. 1
Open Access | Times Cited: 60
Endometrial receptivity in women of advanced age: an underrated factor in infertility
Amruta D. S. Pathare, Marina Loid, Merli Saare, et al.
Human Reproduction Update (2023) Vol. 29, Iss. 6, pp. 773-793
Open Access | Times Cited: 50
Biologically informed deep learning for explainable epigenetic clocks
Aurél Prósz, Orsolya Pipek, Judit Börcsök, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 17
Epigenetic ageing clocks: statistical methods and emerging computational challenges
Andrew E. Teschendorff, Steve Horvath
Nature Reviews Genetics (2025)
Closed Access | Times Cited: 2
Probabilistic inference of epigenetic age acceleration from cellular dynamics
Jan Dabrowski, Emma. J. Yang, Samuel Crofts, et al.
Nature Aging (2024)
Open Access | Times Cited: 9
Epigenetic biomarkers in aging and longevity: Current and future application
Mehran Izadi, Nariman Sadri, Amirhossein Abdi, et al.
Life Sciences (2024) Vol. 351, pp. 122842-122842
Closed Access | Times Cited: 8
Histone mark age of human tissues and cell types
Lucas Paulo de Lima Camillo, Muhammad Haider Asif, Steve Horvath, et al.
Science Advances (2025) Vol. 11, Iss. 1
Closed Access | Times Cited: 1
eXplainable Artificial Intelligence (XAI) in aging clock models
Alena Kalyakulina, Igor Yusipov, Alexey Moskalev, et al.
Ageing Research Reviews (2023) Vol. 93, pp. 102144-102144
Open Access | Times Cited: 18
Accurate age prediction from blood using a small set of DNA methylation sites and a cohort-based machine learning algorithm
Miri Varshavsky, Gil Harari, Benjamin Gläser, et al.
Cell Reports Methods (2023) Vol. 3, Iss. 9, pp. 100567-100567
Open Access | Times Cited: 17
Application of AI in biological age prediction
Dawei Meng, Shiqiang Zhang, Yuanfang Huang, et al.
Current Opinion in Structural Biology (2024) Vol. 85, pp. 102777-102777
Closed Access | Times Cited: 6
Retro‐age: A unique epigenetic biomarker of aging captured by DNA methylation states of retroelements
Lishomwa C. Ndhlovu, Matthew L. Bendall, Varun B. Dwaraka, et al.
Aging Cell (2024) Vol. 23, Iss. 10
Open Access | Times Cited: 6
Examining the biological mechanisms of human mental disorders resulting from gene-environment interdependence using novel functional genomic approaches
Patrícia Pelufo Silveira, Michael J. Meaney
Neurobiology of Disease (2023) Vol. 178, pp. 106008-106008
Open Access | Times Cited: 13
Precious1GPT: multimodal transformer-based transfer learning for aging clock development and feature importance analysis for aging and age-related disease target discovery
Anatoly Urban, Denis Sidorenko, Diana Zagirova, et al.
Aging (2023)
Open Access | Times Cited: 13
pyaging: a Python-based compendium of GPU-optimized aging clocks
Lucas Paulo de Lima Camillo
Bioinformatics (2024) Vol. 40, Iss. 4
Open Access | Times Cited: 5
Characterization of DNA methylation clock algorithms applied to diverse tissue types
M. I. Richardson, Curtis R. Brandt, Niyati Jain, et al.
Aging (2025)
Open Access
Deep learning and generative artificial intelligence in aging research and healthy longevity medicine
Dominika Wilczok
Aging (2025)
Open Access
Assessing Metabolic Ageing via DNA Methylation Surrogate Markers: A Multicohort Study in Britain, Ireland and the USA
Kexin Xu, Belinda Hernández, Thalida Em Arpawong, et al.
Aging Cell (2025)
Open Access
Interpretable deep learning of single-cell and epigenetic data reveals novel molecular insights in aging
Zhipeng Li, Zhaozhen Du, De-Shuang Huang, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
An Update on Neuroaging on Earth and in Spaceflight
Nikolai V. Kuznetsov, Yauhen Statsenko, Miloš Ljubisavljević
International Journal of Molecular Sciences (2025) Vol. 26, Iss. 4, pp. 1738-1738
Open Access
Epigenetic Clock: DNA Methylation as a Marker of Biological Age and Age-Associated Diseases
Ivan Kiselev, Natalia Baulina, О. О. Фаворова
Biochemistry (Moscow) (2025) Vol. 90, Iss. S1, pp. S356-S372
Closed Access
A breast tissue-specific epigenetic clock provides accurate chronological age predictions and reveals de-correlation of age and DNA methylation in tumor-adjacent and tumor samples
Miguel Quintela‐Fandino, Leonardo D. Garma, Sònia Pernas, et al.
Research Square (Research Square) (2025)
Closed Access
Functionally enriched epigenetic clocks reveal tissue-specific discordant aging patterns in individuals with cancer
Chiara Herzog, Elisa Redl, James E. Barrett, et al.
Communications Medicine (2025) Vol. 5, Iss. 1
Open Access
Evaluating transcriptional alterations associated with ageing and developing age prediction models based on the human blood transcriptome
Iván Durán, Amy Tsurumi
Biogerontology (2025) Vol. 26, Iss. 2
Closed Access
Epigenetic clocks provide clues to the mystery of uterine ageing
Pavel I. Deryabin, Aleksandra V. Borodkina
Human Reproduction Update (2022) Vol. 29, Iss. 3, pp. 259-271
Closed Access | Times Cited: 20
Yearning for machine learning: applications for the classification and characterisation of senescence
Bethany K. Hughes, Ryan Wallis, Cleo L. Bishop
Cell and Tissue Research (2023) Vol. 394, Iss. 1, pp. 1-16
Open Access | Times Cited: 12
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