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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:

Machine learning model for anti-cancer drug combinations: Analysis, prediction, and validation
Jingbo Zhou, Dongyang Tang, Lin He, et al.
Pharmacological Research (2023) Vol. 194, pp. 106830-106830
Open Access | Times Cited: 16

Showing 16 citing articles:

Strategies of Artificial intelligence tools in the domain of nanomedicine
Mohammad Habeeb, Huay Woon You, Mutheeswaran Umapathi, et al.
Journal of Drug Delivery Science and Technology (2023) Vol. 91, pp. 105157-105157
Closed Access | Times Cited: 28
Facilitation of Tumor Stroma-Targeted Therapy: Model Difficulty and Co-Culture Organoid Method
Qiushi Feng, Xiaofeng Shan, Vicky Yau, et al.
Pharmaceuticals (2025) Vol. 18, Iss. 1, pp. 62-62
Open Access | Times Cited: 1
Optimizing kinase and PARP inhibitor combinations through machine learning and in silico approaches for targeted brain cancer therapy
Alireza Poustforoosh
Molecular Diversity (2025)
Closed Access | Times Cited: 1
Identifying traditional Chinese medicine combinations for breast cancer treatment based on transcriptional regulation and chemical structure
Shensuo Li, Lijun Zhang, Chengkuan Liu, et al.
Chinese Medicine (2025) Vol. 20, Iss. 1
Open Access
Harnessing Artificial Intelligence for Precision Diagnosis and Treatment of Triple Negative Breast Cancer
Md Sadique Hussain, Prasanna Srinivasan Ramalingam, Gayathri Chellasamy, et al.
Clinical Breast Cancer (2025)
Closed Access
Oncogenic activation of SMYD3-SHCBP1 promotes breast cancer development and is coupled with resistance to immune therapy
Lihua Mo, Min Deng, Ragini Adhav, et al.
Cell Death and Disease (2025) Vol. 16, Iss. 1
Open Access
Exploring 4th Generation EGFR Inhibitors: A Review of Clinical Outcomes and Structural Binding Insights.
Amina Tariq, Muhammad Shoaib, Lingbo Qu, et al.
European Journal of Pharmacology (2025), pp. 177608-177608
Closed Access
MLG2Net: Molecular Global Graph Network for Drug Response Prediction in Lung Cancer Cell Lines
Thi-Oanh Tran, Thanh-Huy Nguyen, Tuan Tung Nguyen, et al.
Journal of Medical Systems (2025) Vol. 49, Iss. 1
Closed Access
Emerging artificial intelligence-driven precision therapies in tumor drug resistance: recent advances, opportunities, and challenges
Yajun Mao, Dangang Shangguan, Qi Huang, et al.
Molecular Cancer (2025) Vol. 24, Iss. 1
Open Access
Elucidating the Neuroprotective Mechanisms of G‐3702 in Ischemic Stroke via Integrated Metabolomics and Computational Approaches
Cong Wang, Fang Zhang, Qi Zheng, et al.
CNS Neuroscience & Therapeutics (2025) Vol. 31, Iss. 4
Open Access
Response score-based protein structure analysis for cancer prediction aided by the Internet of Things
Omar Alruwaili, Amr Yousef, Touqeer Ahmed Jumani, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
MMSyn: A New Multimodal Deep Learning Framework for Enhanced Prediction of Synergistic Drug Combinations
Yu Pang, Yihao Chen, Mujie Lin, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 9, pp. 3689-3705
Closed Access | Times Cited: 1
Emerging trends in computational approaches for drug discovery in molecular biology
Yakubu Magaji Yuguda, Israel Ebehitale Unuebho, Tejonidhi kolli, et al.
GSC Biological and Pharmaceutical Sciences (2023) Vol. 24, Iss. 3, pp. 202-213
Open Access | Times Cited: 3
Up to the Herculean Task of Tackling Cancer Therapy Resistance
Kostas A. Papavassiliou, Athanasios G. Papavassiliou
Cancers (2024) Vol. 16, Iss. 10, pp. 1826-1826
Open Access
Cancer pharmacoinformatics: Databases and analytical tools
Pradnya Kamble, Prinsa R. Nagar, Kaushikkumar A. Bhakhar, et al.
Functional & Integrative Genomics (2024) Vol. 24, Iss. 5
Closed Access
Improved Skin Cancer Detection Using Efficient NetB7 Machine Learning
Muskan Sharma, Yash Mahajan, Priya Batta, et al.
(2023), pp. 581-586
Closed Access | Times Cited: 1
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