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 techniques for prediction of drug synergy in malignant diseases: Past, present, and future
Pooja Rani, Kamlesh Dutta, Vijay Kumar
Computers in Biology and Medicine (2022) Vol. 144, pp. 105334-105334
Closed Access | Times Cited: 14

Showing 14 citing articles:

Artificial Intelligence in Cancer Research: Trends, Challenges and Future Directions
Anu Maria Sebastian, David Peter
Life (2022) Vol. 12, Iss. 12, pp. 1991-1991
Open Access | Times Cited: 89

Integrating Artificial Intelligence for Drug Discovery in the Context of Revolutionizing Drug Delivery
Anita Ioana Visan, Irina Neguț
Life (2024) Vol. 14, Iss. 2, pp. 233-233
Open Access | Times Cited: 54

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: 22

Revolutionizing Prostate Cancer Therapy: Artificial intelligence – based Nanocarriers for Precision Diagnosis and Treatment
Moein Shirzad, Afsaneh Salahvarzi, Sobia Razzaq, et al.
Critical Reviews in Oncology/Hematology (2025), pp. 104653-104653
Closed Access

Artificial Intelligence and Anticancer Drug Development—Keep a Cool Head
Caroline Bailleux, Jocelyn Gal, Emmanuel Chamorey, et al.
Pharmaceutics (2024) Vol. 16, Iss. 2, pp. 211-211
Open Access | Times Cited: 5

Harnessing Leptolyngbya for antiproliferative and antimicrobial metabolites through lens of modern techniques: A review
Rahul Negi, Manisha Nigam, Rahul Singh
Algal Research (2024) Vol. 83, pp. 103702-103702
Closed Access | Times Cited: 1

Dual-payload Antibody–drug Conjugates: Taking a Dual Shot
Junjie Tao, Yilin Gu, Wei Zhou, et al.
European Journal of Medicinal Chemistry (2024) Vol. 281, pp. 116995-116995
Closed Access | Times Cited: 1

Artificial intelligence representation model for drug–target interaction with contemporary knowledge and development
M. Arvindhan, A. Daniel, N. Partheeban, et al.
Elsevier eBooks (2023), pp. 81-93
Closed Access | Times Cited: 3

New regulation on medical devices made of substances: Opportunities and challenges for pharmacological and toxicological research
Carmela Fimognari, Enrique Barrajón‐Catalán, Cristina Luceri, et al.
Frontiers in Drug Safety and Regulation (2022) Vol. 2
Open Access | Times Cited: 4

SDDSynergy: Learning Important Molecular Substructures for Explainable Anticancer Drug Synergy Prediction
Y. H. Liu, Peiliang Zhang, Chao Che, et al.
Journal of Chemical Information and Modeling (2024)
Closed Access

Next‐Generation Distributed Computing for Cancer Detection
Kapil Kumar Gupta, Namrata Dhanda, Neeraj Kumar
(2024), pp. 145-161
Closed Access

AI and deep learning in cancer genomics
Prankur Awasthi, Nishant Kumar Singh, Avinash Gupta, et al.
Elsevier eBooks (2024), pp. 97-123
Closed Access

High-Throughput Preclinical Models and Pharmacoproteomics
Vipul Prajapati, Malika Verma, G. Santhana Kumar, et al.
(2024), pp. 429-468
Closed Access

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