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:

Nuclear morphology is a deep learning biomarker of cellular senescence
Indra Heckenbach, Garik V. Mkrtchyan, Michael Ben Ezra, et al.
Nature Aging (2022) Vol. 2, Iss. 8, pp. 742-755
Open Access | Times Cited: 126

Showing 1-25 of 126 citing articles:

SenNet recommendations for detecting senescent cells in different tissues
Vidyani Suryadevara, Adam D. Hudgins, Adarsh Rajesh, et al.
Nature Reviews Molecular Cell Biology (2024) Vol. 25, Iss. 12, pp. 1001-1023
Closed Access | Times Cited: 79
Spatial mapping of cellular senescence: emerging challenges and opportunities
Aditi U. Gurkar, Akos A. Gerencser, Ana L. Mora, et al.
Nature Aging (2023) Vol. 3, Iss. 7, pp. 776-790
Open Access | Times Cited: 73
Guidelines for minimal information on cellular senescence experimentation in vivo
Mikołaj Ogrodnik, Juan Carlos Acosta, Peter D. Adams, et al.
Cell (2024) Vol. 187, Iss. 16, pp. 4150-4175
Open Access | Times Cited: 58
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
Detection of senescence using machine learning algorithms based on nuclear features
Imanol Durán, Joaquim Pombo, Bin Sun, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 31
Cellular senescence and SASP in tumor progression and therapeutic opportunities
Zening Dong, Yahan Luo, Zhangchen Yuan, et al.
Molecular Cancer (2024) Vol. 23, Iss. 1
Open Access | Times Cited: 21
Artificial intelligence in drug development
Kang Zhang, Xin Yang, Yifei Wang, et al.
Nature Medicine (2025) Vol. 31, Iss. 1, pp. 45-59
Closed Access | Times Cited: 11
Senescent Schwann cells induced by aging and chronic denervation impair axonal regeneration following peripheral nerve injury
Andrés Flores, Cristian Gerónimo‐Olvera, Karina do Carmo de Vasconcelos Girardi, et al.
EMBO Molecular Medicine (2023) Vol. 15, Iss. 12
Open Access | Times Cited: 26
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
Microsystem Advances through Integration with Artificial Intelligence
Hsieh‐Fu Tsai, Soumyajit Podder, Pin‐Yuan Chen
Micromachines (2023) Vol. 14, Iss. 4, pp. 826-826
Open Access | Times Cited: 22
Subcellular structure, heterogeneity, and plasticity of senescent cells
Thais Cardoso Bitencourt, José Eduardo Vargas, Andrew Oliveira Silva, et al.
Aging Cell (2024) Vol. 23, Iss. 4
Open Access | Times Cited: 14
From pixels to phenotypes: Integrating image-based profiling with cell health data as BioMorph features improves interpretability
Srijit Seal, Jordi Carreras‐Puigvert, Shantanu Singh, et al.
Molecular Biology of the Cell (2024) Vol. 35, Iss. 3
Open Access | Times Cited: 12
Osteoporotic osseointegration: therapeutic hallmarks and engineering strategies
Xiaocui Chen, Zhuowen Hao, Hanke Li, et al.
Theranostics (2024) Vol. 14, Iss. 10, pp. 3859-3899
Open Access | Times Cited: 12
Genome-wide CRISPR screen identifies neddylation as a regulator of neuronal aging and AD neurodegeneration
Nathalie Saurat, Andrew P. Minotti, Maliha T. Rahman, et al.
Cell stem cell (2024) Vol. 31, Iss. 8, pp. 1162-1174.e8
Open Access | Times Cited: 10
A Fully-Automated Senescence Test (FAST) for the high-throughput quantification of senescence-associated markers
Francesco Neri, Selma N. Takajjart, Chad A. Lerner, et al.
GeroScience (2024) Vol. 46, Iss. 5, pp. 4185-4202
Open Access | Times Cited: 6
Longevity biotechnology: bridging AI, biomarkers, geroscience and clinical applications for healthy longevity
Yihua Lyu, Qiang Fu, Dominika Wilczok, et al.
Aging (2024)
Open Access | Times Cited: 6
Senescence as a therapeutic target in cancer and age-related diseases
Domhnall McHugh, Imanol Durán, Jesús Gil
Nature Reviews Drug Discovery (2024) Vol. 24, Iss. 1, pp. 57-71
Closed Access | Times Cited: 6
Nuclear envelope disruption triggers hallmarks of aging in lung alveolar macrophages
Nilushi S. De Silva, Johan Siewiera, Chantal Alkhoury, et al.
Nature Aging (2023) Vol. 3, Iss. 10, pp. 1251-1268
Open Access | Times Cited: 15
Form follows function: Nuclear morphology as a quantifiable predictor of cellular senescence
Jakub Belhadj, Surina Surina, Markus Hengstschläger, et al.
Aging Cell (2023) Vol. 22, Iss. 12
Open Access | Times Cited: 14
Utility of artificial intelligence in a binary classification of soft tissue tumors
Di Jing, Caylin Hickey, Cody Bumgardner, et al.
Journal of Pathology Informatics (2024) Vol. 15, pp. 100368-100368
Open Access | Times Cited: 5
Are immunosenescent T cells really senescent?
Helena Slaets, Naomi Veeningen, Peter L.J. de Keizer, et al.
Aging Cell (2024) Vol. 23, Iss. 10
Open Access | Times Cited: 5
Deep learning assessment of senescence-associated nuclear morphologies in mammary tissue from healthy female donors to predict future risk of breast cancer: a retrospective cohort study
Indra Heckenbach, Mark Powell, Sophia Fuller, et al.
The Lancet Digital Health (2024) Vol. 6, Iss. 10, pp. e681-e690
Open Access | Times Cited: 5
Unbiased identification of cell identity in dense mixed neural cultures
Sarah De Beuckeleer, Tim Van De Looverbosch, Johanna Van Den Daele, et al.
eLife (2025) Vol. 13
Open Access
scCamAge: A context-aware prediction engine for cellular age, aging-associated bioactivities, and morphometrics
Vishakha Gautam, Subhadeep Duari, Saveena Solanki, et al.
Cell Reports (2025) Vol. 44, Iss. 2, pp. 115270-115270
Open Access
Page 1 - Next Page

Scroll to top