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:

Artificial intelligence: opportunities and challenges in the clinical applications of triple-negative breast cancer
Jiamin Guo, Junjie Hu, Yichen Zheng, et al.
British Journal of Cancer (2023) Vol. 128, Iss. 12, pp. 2141-2149
Closed Access | Times Cited: 22

Showing 22 citing articles:

Empowering personalized pharmacogenomics with generative AI solutions
Mullai Murugan, Bo Yuan, Eric Venner, et al.
Journal of the American Medical Informatics Association (2024) Vol. 31, Iss. 6, pp. 1356-1366
Open Access | Times Cited: 21

Steerable Microneedles Enabling Deep Delivery of Photosensitizers and CRISPR/Cas9 Systems for Effective Combination Cancer Therapy
Tong Wang, Gang Chen, Shuangshuang Zhang, et al.
Nano Letters (2023) Vol. 23, Iss. 17, pp. 7990-7999
Closed Access | Times Cited: 22

Molecular mechanisms and therapeutic applications of huaier in breast cancer treatment
Ke-fei Luo, Linxi Zhou, Zi-wei Wu, et al.
Frontiers in Pharmacology (2024) Vol. 14
Open Access | Times Cited: 8

AI-Driven Innovations in Smart Multifunctional Nanocarriers for Drug and Gene Delivery: A Mini-Review
H. Noury, Abbas Rahdar, Luiz Fernando Romanholo Ferreira, et al.
Critical Reviews in Oncology/Hematology (2025), pp. 104701-104701
Closed Access | Times Cited: 1

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

Present and Future of Immunotherapy for Triple-Negative Breast Cancer
Sushmitha Sriramulu, Shivani Thoidingjam, Corey Speers, et al.
(2024)
Open Access | Times Cited: 3

Present and Future of Immunotherapy for Triple-Negative Breast Cancer
Sushmitha Sriramulu, Shivani Thoidingjam, Corey Speers, et al.
Cancers (2024) Vol. 16, Iss. 19, pp. 3250-3250
Open Access | Times Cited: 2

Biomimetic Nanovesicles Synergize with Short-Term Fasting for Enhanced Chemotherapy of Triple-Negative Breast Cancer
Seok Theng Chiang, Qi Chen, Tianzhen Han, et al.
ACS Nano (2024)
Closed Access | Times Cited: 2

Latest Therapeutical Approaches for Triple-Negative Breast Cancer: From Preclinical to Clinical Research
Mariona Pont, Marta Marqués, Anabel Sorolla
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 24, pp. 13518-13518
Open Access | Times Cited: 2

Application of Novel Transcription Factor Machine Learning Model and Targeted Drug Combination Therapy Strategy in Triple Negative Breast Cancer
Jianyu Pang, Huimin Li, Xiaoling Zhang, et al.
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 17, pp. 13497-13497
Open Access | Times Cited: 5

Near-Infrared Titania Nanoparticle-Based Photoimmunotherapy via Tumor-Microenvironment-Responsive Gene Editing of SerpinB9 for Triple-Negative Breast Cancer
Kaiyong Yang, Zhenyu Zhang, Chunli Zhang, et al.
ACS Applied Nano Materials (2024) Vol. 7, Iss. 3, pp. 3059-3070
Closed Access | Times Cited: 1

Evolving therapeutics and ensuing cardiotoxicities in triple-negative breast cancer
Chongyu Wang, Pinchao Fan, Qingqing Wang
Cancer Treatment Reviews (2024) Vol. 130, pp. 102819-102819
Open Access | Times Cited: 1

Empowering Personalized Pharmacogenomics with Generative AI Solutions
Mullai Murugan, Bo Yuan, Eric Venner, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access

Breast Cancer Prediction Using Artificial Intelligence Technology
V. Akila, J. Anita Christaline
(2024), pp. 1-6
Closed Access

Research progress of artificial intelligence in evaluating the efficacy of neoadjuvant chemotherapy for breast cancer
Wei Wei, Menghang Ma, Zhenyu Liu
Deleted Journal (2024) Vol. 1, Iss. 2, pp. 100024-100024
Open Access

Is Cancer Our Equal or Our Better? Artificial Intelligence in Cancer Drug Discovery
Swapnil Ganesh Sanmukh, Martyna Krzykawska-Serda, Paulina Dragan, et al.
Interdisciplinary cancer research (2024)
Closed Access

Targeting the tumor immune microenvironment: GPCRs as key regulators in triple-negative breast cancer
Chengyi Wang, Yanyan Liu, Ru Zhang, et al.
International Immunopharmacology (2024) Vol. 147, pp. 113930-113930
Closed Access

Novel curcumin derivatives N17 exert anti-cancer effects through the CSNK1G3/AKT axis in triple-negative breast cancer
Ziyou Huai, Zijian Li, Wei Xue, et al.
Biochemical Pharmacology (2024) Vol. 229, pp. 116472-116472
Closed Access

How can we refine the prognostic stratification of triple-negative breast cancer?
Federica Miglietta, Maria Vittoria Dieci
Expert Review of Anticancer Therapy (2023) Vol. 23, Iss. 10, pp. 1045-1047
Open Access

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