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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:

Computational estimation of quality and clinical relevance of cancer cell lines
Lucia Trastulla, Javad Noorbakhsh, Francisca Vázquez, et al.
Molecular Systems Biology (2022) Vol. 18, Iss. 7
Open Access | Times Cited: 20

Showing 20 citing articles:

Systematic transcriptional analysis of human cell lines for gene expression landscape and tumor representation
Han Jin, Cheng Zhang, Martin Zwahlen, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 40
Opportunities for pharmacoproteomics in biomarker discovery
Rebecca C. Poulos, Zhaoxiang Cai, Phillip J. Robinson, et al.
PROTEOMICS (2022) Vol. 23, Iss. 7-8
Open Access | Times Cited: 23
Predicting drug response from single-cell expression profiles of tumours
Simona Pellecchia, Gaetano Viscido, Melania Franchini, et al.
BMC Medicine (2023) Vol. 21, Iss. 1
Open Access | Times Cited: 15
A systematic evaluation of deep learning methods for the prediction of drug synergy in cancer
Delora Baptista, Pedro G. Ferreira, Miguel Rocha
PLoS Computational Biology (2023) Vol. 19, Iss. 3, pp. e1010200-e1010200
Open Access | Times Cited: 14
Large inherent variability in data derived from highly standardised cell culture experiments
Ian Reddin, Tim R. Fenton, Mark N. Wass, et al.
Pharmacological Research (2023) Vol. 188, pp. 106671-106671
Open Access | Times Cited: 11
A systematic review on the culture methods and applications of 3D tumoroids for cancer research and personalized medicine
Jessica Kalla, Janette Pfneissl, Theresia Mair, et al.
Cellular Oncology (2024)
Open Access | Times Cited: 4
The Hallmarks of Predictive Oncology
Akshat Singhal, Xiaoyu Zhao, Patrick D. Wall, et al.
Cancer Discovery (2025) Vol. 15, Iss. 2, pp. 271-285
Closed Access
Personalized prediction of anticancer potential of non-oncology drugs through learning from genome derived molecular pathways
Xiaobao Dong, Huanhuan Liu, Ting Tong, et al.
npj Precision Oncology (2025) Vol. 9, Iss. 1
Open Access
Synthetic augmentation of cancer cell line multi-omic datasets using unsupervised deep learning
Zhaoxiang Cai, Sofia Apolinário, Ana R. Baião, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 2
Exosomal MicroRNA and Protein Profiles of Hepatitis B Virus-Related Hepatocellular Carcinoma Cells
Valentina K. Todorova, Stephanie D. Byrum, Samuel G. Mackintosh, et al.
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 17, pp. 13098-13098
Open Access | Times Cited: 5
Reusability report: Evaluating reproducibility and reusability of a fine-tuned model to predict drug response in cancer patient samples
Emily So, Fengqing Yu, Bo Wang, et al.
Nature Machine Intelligence (2023) Vol. 5, Iss. 7, pp. 792-798
Closed Access | Times Cited: 4
Modeling phenotypic heterogeneity towards evolutionarily inspired osteosarcoma therapy
Darcy L. Welch, Brooke L. Fridley, Ling Cen, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 2
How clinically relevant are prostate cancer cell lines? A comprehensive characterisation and multiomics comparison.
Zahra Ahmed, Warda Mosabbir, Devansh Tandon, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Synthetic augmentation of cancer cell line multi-omic datasets using unsupervised deep learning
Zhaoxiang Cai, Sofia Apolinário, Ana R. Baião, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Closed Access
The History, Landscape, and Outlook of Human Cell Line Authentication and Security
Elijah F. Harbut, Yiorgos Makris, Alexander Pertsemlidis, et al.
SLAS DISCOVERY (2024) Vol. 29, Iss. 8, pp. 100194-100194
Open Access
Integrative ensemble modelling of cetuximab sensitivity in colorectal cancer patient-derived xenografts
Umberto Perron, Elena Grassi, Aikaterini Chatzipli, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access
Integrative ensemble modelling of cetuximab sensitivity in colorectal cancer PDXs
Umberto Perron, Elena Grassi, Aikaterini Chatzipli, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 1
Predicting drug response from single-cell expression profiles of tumours
Simona Pellecchia, Gaetano Viscido, Melania Franchini, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 1
Data Management and Regulations for International Business
Gastón Fornés, Maria Altamira
Springer eBooks (2023), pp. 91-104
Closed Access
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