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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:

Global computational alignment of tumor and cell line transcriptional profiles
Allison Warren, Yejia Chen, Andrew Jones, et al.
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 114

Showing 1-25 of 114 citing articles:

Nanocatalyst‐Mediated Chemodynamic Tumor Therapy
Lu Zhang, Chu‐Xin Li, Shuangshuang Wan, et al.
Advanced Healthcare Materials (2021) Vol. 11, Iss. 2
Closed Access | Times Cited: 182
A first-generation pediatric cancer dependency map
Neekesh V. Dharia, Guillaume Kugener, Lillian M. Guenther, et al.
Nature Genetics (2021) Vol. 53, Iss. 4, pp. 529-538
Open Access | Times Cited: 120
CancerGPT for few shot drug pair synergy prediction using large pretrained language models
Tianhao Li, Sandesh Shetty, Advaith Kamath, et al.
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 45
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: 43
A comprehensive clinically informed map of dependencies in cancer cells and framework for target prioritization
Clare Pacini, Emma L. Duncan, Emanuel Gonçalves, et al.
Cancer Cell (2024) Vol. 42, Iss. 2, pp. 301-316.e9
Open Access | Times Cited: 32
Prognostic genome and transcriptome signatures in colorectal cancers
Luís Nunes, Fuqiang Li, Meizhen Wu, et al.
Nature (2024) Vol. 633, Iss. 8028, pp. 137-146
Open Access | Times Cited: 25
Pharmacological targeting of the cancer epigenome
Nathaniel W. Mabe, Jennifer A. Perry, Clare F. Malone, et al.
Nature Cancer (2024) Vol. 5, Iss. 6, pp. 844-865
Closed Access | Times Cited: 20
Refined culture conditions with increased physiological relevance uncover oncogene-dependent metabolic signatures in Ewing sarcoma spheroids
A. Katharina Ceranski, Martha J. Carreño-Gonzalez, Anna C. Ehlers, et al.
Cell Reports Methods (2025), pp. 100966-100966
Open Access | Times Cited: 2
The chemotherapeutic CX-5461 primarily targets TOP2B and exhibits selective activity in high-risk neuroblastoma
Min Pan, William C. Wright, Richard H. Chapple, et al.
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 62
Beyondcell: targeting cancer therapeutic heterogeneity in single-cell RNA-seq data
Coral Fustero‐Torre, María José Jiménez‐Santos, Santiago García‐Martín, et al.
Genome Medicine (2021) Vol. 13, Iss. 1
Open Access | Times Cited: 61
Transition to a mesenchymal state in neuroblastoma confers resistance to anti-GD2 antibody via reduced expression of ST8SIA1
Nathaniel W. Mabe, Min Huang, Guillermo Nicolás Dalton, et al.
Nature Cancer (2022) Vol. 3, Iss. 8, pp. 976-993
Open Access | Times Cited: 61
A context-aware deconfounding autoencoder for robust prediction of personalized clinical drug response from cell-line compound screening
Di He, Qiao Liu, You Wu, et al.
Nature Machine Intelligence (2022) Vol. 4, Iss. 10, pp. 879-892
Open Access | Times Cited: 53
Bi-order multimodal integration of single-cell data
Jinzhuang Dou, Shaoheng Liang, Vakul Mohanty, et al.
Genome biology (2022) Vol. 23, Iss. 1
Open Access | Times Cited: 39
Targeting tumor–stromal interactions in triple-negative breast cancer using a human vascularized micro-tumor model
Stephanie J. Hachey, Christopher J. Hatch, Daniela Gaebler, et al.
Breast Cancer Research (2024) Vol. 26, Iss. 1
Open Access | Times Cited: 13
Molecular subtypes of neuroendocrine carcinomas: A cross-tissue classification framework based on five transcriptional regulators
Zhanyu Wang, Chengming Liu, Sufei Zheng, et al.
Cancer Cell (2024) Vol. 42, Iss. 6, pp. 1106-1125.e8
Closed Access | Times Cited: 11
Building a translational cancer dependency map for The Cancer Genome Atlas
Xu Shi, Christos Gekas, Daniel Verduzco, et al.
Nature Cancer (2024) Vol. 5, Iss. 8, pp. 1176-1194
Open Access | Times Cited: 10
Multi-tiered chemical proteomic maps of tryptoline acrylamide–protein interactions in cancer cells
Evert Njomen, Rachel E. Hayward, Kristen E. DeMeester, et al.
Nature Chemistry (2024) Vol. 16, Iss. 10, pp. 1592-1604
Closed Access | Times Cited: 10
Biologically relevant integration of transcriptomics profiles from cancer cell lines, patient-derived xenografts, and clinical tumors using deep learning
Slavica Dimitrieva, Rens Janssens, Gang Li, et al.
Science Advances (2025) Vol. 11, Iss. 3
Open Access | Times Cited: 1
Learning and actioning general principles of cancer cell drug sensitivity
Francesco Carli, Pierluigi Di Chiaro, Mariangela Morelli, et al.
Nature Communications (2025) Vol. 16, Iss. 1
Open Access | Times Cited: 1
Predicting and characterizing a cancer dependency map of tumors with deep learning
Yu‐Chiao Chiu, Siyuan Zheng, Li‐Ju Wang, et al.
Science Advances (2021) Vol. 7, Iss. 34
Open Access | Times Cited: 55
Lipid droplets are a metabolic vulnerability in melanoma
Dianne Lumaquin, Emily Montal, Eleanor Johns, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 20
The present and future of the Cancer Dependency Map
Rand Arafeh, Tsukasa Shibue, Joshua M. Dempster, et al.
Nature reviews. Cancer (2024)
Closed Access | Times Cited: 8
Glioblastoma-cortical organoids recapitulate cell state heterogeneity and intercellular transfer
Vamsi Mangena, Rony Chanoch-Myers, Rafaela Sartore, et al.
Cancer Discovery (2024) Vol. 15, Iss. 2, pp. 299-315
Open Access | Times Cited: 6
Multi-omics analysis based on 3D-bioprinted models innovates therapeutic target discovery of osteosarcoma
Yixuan Lin, Yiqi Yang, Kai Yuan, et al.
Bioactive Materials (2022) Vol. 18, pp. 459-470
Open Access | Times Cited: 28
VRK1 as a synthetic lethal target in VRK2 promoter–methylated cancers of the nervous system
Jonathan So, Nathaniel W. Mabe, Bernhard Englinger, et al.
JCI Insight (2022) Vol. 7, Iss. 19
Open Access | Times Cited: 27
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