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:

Interpretable systems biomarkers predict response to immune-checkpoint inhibitors
Óscar Lapuente-Santana, Maisa N.G. van Genderen, P.A.J. Hilbers, et al.
Patterns (2021) Vol. 2, Iss. 8, pp. 100293-100293
Open Access | Times Cited: 93

Showing 1-25 of 93 citing articles:

Lung cancer immunotherapy: progress, pitfalls, and promises
Aritraa Lahiri, Avik Maji, Pravin D. Potdar, et al.
Molecular Cancer (2023) Vol. 22, Iss. 1
Open Access | Times Cited: 542

Network-based machine learning approach to predict immunotherapy response in cancer patients
JungHo Kong, Doyeon Ha, Juhun Lee, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 132

Informing immunotherapy with multi-omics driven machine learning
Yawei Li, Wu Xin, Deyu Fang, et al.
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 26

Identification of CircRNA signature associated with tumor immune infiltration to predict therapeutic efficacy of immunotherapy
Dong Yu, Qian Gao, Yong Chen, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 42

Based on disulfidptosis, revealing the prognostic and immunological characteristics of renal cell carcinoma with tumor thrombus of vena cava and identifying potential therapeutic target AJAP1
Lin Yang, Jiahao Liu, Sheng Li, et al.
Journal of Cancer Research and Clinical Oncology (2023) Vol. 149, Iss. 12, pp. 9787-9804
Closed Access | Times Cited: 31

Multiomics profiling reveals the benefits of gamma-delta (γδ) T lymphocytes for improving the tumor microenvironment, immunotherapy efficacy and prognosis in cervical cancer
Junyi Li, Yuanjie Cao, Yan‐Cheng Liu, et al.
Journal for ImmunoTherapy of Cancer (2024) Vol. 12, Iss. 1, pp. e008355-e008355
Open Access | Times Cited: 13

Machine learning identifies clinical tumor mutation landscape pathways of resistance to checkpoint inhibitor therapy in NSCLC
Vitalay Fomin, WeiQing Venus So, R Barbieri, et al.
Journal for ImmunoTherapy of Cancer (2025) Vol. 13, Iss. 3, pp. e009092-e009092
Open Access | Times Cited: 1

A community challenge to predict clinical outcomes after immune checkpoint blockade in non-small cell lung cancer
M. B. Mason, Óscar Lapuente-Santana, Anni S. Halkola, et al.
Journal of Translational Medicine (2024) Vol. 22, Iss. 1
Open Access | Times Cited: 7

Enhancing immuno-oncology investigations through multidimensional decoding of tumor microenvironment with IOBR 2.0
Dongqiang Zeng, Yiran Fang, Wenjun Qiu, et al.
Cell Reports Methods (2024), pp. 100910-100910
Closed Access | Times Cited: 7

Biological knowledge graph-guided investigation of immune therapy response in cancer with graph neural network
Lianhe Zhao, Xiaoning Qi, Yang Chen, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 2
Closed Access | Times Cited: 14

Immune, metabolic landscapes of prognostic signatures for lung adenocarcinoma based on a novel deep learning framework
Shimei Qin, Shibin Sun, Yahui Wang, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 6

Single-cell RNA sequencing revealed potential targets for immunotherapy studies in hepatocellular carcinoma
Zhouhua Xie, Jinping Huang, Yanjun Li, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 12

IOBR2: Multidimensional Decoding Tumor Microenvironment for Immuno-Oncology Research
Dongqiang Zeng, Yiran Fang, Peng Luo, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 4

Aggrephagy-related gene signature correlates with survival and tumor-associated macrophages in glioma: Insights from single-cell and bulk RNA sequencing
Xiaowei Zhang, Jiayu Tan, Xinyu Zhang, et al.
Mathematical Biosciences & Engineering (2024) Vol. 21, Iss. 2, pp. 2407-2431
Open Access | Times Cited: 4

Construction and significance of a breast cancer prognostic model based on cuproptosis-related genotyping and lncRNAs
Lu Sun, Xinxu Chen, Fei Li, et al.
Journal of the Formosan Medical Association (2024)
Open Access | Times Cited: 4

Multi-omics based artificial intelligence for cancer research
Lusheng Li, Mengtao Sun, Jieqiong Wang, et al.
Advances in cancer research (2024), pp. 303-356
Closed Access | Times Cited: 4

Deep neural network modeling identifies biomarkers of response to immune-checkpoint therapy
Yuqi Kang, Siddharth Vijay, Taranjit S. Gujral
iScience (2022) Vol. 25, Iss. 5, pp. 104228-104228
Open Access | Times Cited: 18

Integrating of Radiomics and Single-cell Transcriptomics Uncovers the Crucial Role of γδ T Cells in Lung Adenocarcinoma
Ziyi Chen, Changqing Yang, Jiajing Wang, et al.
Journal of Cancer (2025) Vol. 16, Iss. 4, pp. 1167-1180
Open Access

Mathematically mapping the network of cells in the tumor microenvironment
Mike van Santvoort, Óscar Lapuente-Santana, Maria Zopoglou, et al.
Cell Reports Methods (2025), pp. 100985-100985
Open Access

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