Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

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

Showing 12 citing articles:

Cellular senescence: Neither irreversible nor reversible
Maurice Reimann, Soyoung Lee, Clemens A. Schmitt
The Journal of Experimental Medicine (2024) Vol. 221, Iss. 4
Open Access | Times Cited: 33
Dynamic 3D genome reorganization during senescence: defining cell states through chromatin
Haitham A. Shaban, Susan M. Gasser
Cell Death and Differentiation (2023)
Open Access | Times Cited: 25
Exploring the Communication of the SASP: Dynamic, Interactive, and Adaptive Effects on the Microenvironment
Joëlle Giroud, Inès Bouriez, H. E. Paulus, et al.
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 13, pp. 10788-10788
Open Access | Times Cited: 23
Therapeutic targeting of senescent cells in the CNS
Markus Rießland, Methodios Ximerakis, Andrew A. Jarjour, et al.
Nature Reviews Drug Discovery (2024)
Closed Access | Times Cited: 9
SenPred: a single-cell RNA sequencing-based machine learning pipeline to classify deeply senescent dermal fibroblast cells for the detection of an in vivo senescent cell burden
Bethany K. Hughes, Andrew Davis, Deborah Milligan, et al.
Genome Medicine (2025) Vol. 17, Iss. 1
Open Access | Times Cited: 1
The DNA Damage Response as an Auxiliary Indicator of Senescence in Cancer: A User-Friendly Toolkit of Markers and Detection Methods
Stella Logotheti, Spyridon N. Vasilopoulos, Ioanna Tremi, et al.
Methods in molecular biology (2025), pp. 83-112
Closed Access
The paradox of senescent-marker positive cancer cells: challenges and opportunities
E O'Sullivan, Ryan Wallis, Federica Mossa, et al.
npj Aging (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 4
Machine learning assisted prediction of land surface temperature (LST) based on major air pollutants over the Annamayya District of India
Jagadish Kumar Mogaraju
International Journal of Engineering and Geosciences (2024) Vol. 9, Iss. 2, pp. 233-246
Open Access | Times Cited: 3
Osteogenesis imperfecta type 10 and the cellular scaffolds underlying common immunological diseases
Alan Herbert
Genes and Immunity (2024) Vol. 25, Iss. 4, pp. 265-276
Closed Access | Times Cited: 2
SenPred: A single-cell RNA sequencing-based machine learning pipeline to classify senescent cells for the detection of anin vivosenescent cell burden
Bethany K. Hughes, Andrew Davis, Deborah Milligan, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 4
Emerging insights in senescence: pathways from preclinical models to therapeutic innovations
Lyndon E. Mansfield, Valentina Ramponi, Kavya Gupta, et al.
npj Aging (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 1
SenPred: A single-cell RNA sequencing-based machine learning pipeline to classify senescent cells for the detection of an in vivo senescent cell burden
Cleo L. Bishop, Bethany K. Hughes, Andrew Davis, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 2
Page 1

Scroll to top