Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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 to bring nanomedicine to life
Nikita Serov, Vladimir V. Vinogradov
Advanced Drug Delivery Reviews (2022) Vol. 184, pp. 114194-114194
Closed Access | Times Cited: 76

Showing 1-25 of 76 citing articles:

Nanomedicine in cancer therapy
Dahua Fan, Yongkai Cao, Meiqun Cao, et al.
Signal Transduction and Targeted Therapy (2023) Vol. 8, Iss. 1
Open Access | Times Cited: 234
Nanoparticles‐induced potential toxicity on human health: Applications, toxicity mechanisms, and evaluation models
Lihui Xuan, Zhao Ju, Magdalena Skonieczna, et al.
MedComm (2023) Vol. 4, Iss. 4
Open Access | Times Cited: 157
Artificial intelligence aids in development of nanomedicines for cancer management
Ping Tan, Xiaoting Chen, Hu Zhang, et al.
Seminars in Cancer Biology (2023) Vol. 89, pp. 61-75
Closed Access | Times Cited: 130
Controlling the biodistribution and clearance of nanomedicines
Horacio Cabral, Junjie Li, Kanjiro Miyata, et al.
Nature Reviews Bioengineering (2023) Vol. 2, Iss. 3, pp. 214-232
Closed Access | Times Cited: 62
How can Electrospinning Further Service Well for Pharmaceutical Researches?
Deng‐Guang Yu, Jianfeng Zhou
Journal of Pharmaceutical Sciences (2023) Vol. 112, Iss. 11, pp. 2719-2723
Closed Access | Times Cited: 51
Revolutionizing drug formulation development: The increasing impact of machine learning
Zeqing Bao, Jack Bufton, Riley J. Hickman, et al.
Advanced Drug Delivery Reviews (2023) Vol. 202, pp. 115108-115108
Closed Access | Times Cited: 43
Simulation-based approaches for drug delivery systems: Navigating advancements, opportunities, and challenges
Iman Salahshoori, Mahdi Golriz, Marcos A.L. Nobre, et al.
Journal of Molecular Liquids (2023) Vol. 395, pp. 123888-123888
Open Access | Times Cited: 40
A Journey of Challenges and Victories: A Bibliometric Worldview of Nanomedicine since the 21st Century
Jingyu Wang, Wenling Zhao, Zhao Zhang, et al.
Advanced Materials (2024) Vol. 36, Iss. 15
Closed Access | Times Cited: 26
Mesoporous silica nanotechnology: promising advances in augmenting cancer theranostics
Yashaswi Dutta Gupta, Yuri Mackeyev, Sunil Krishnan, et al.
Cancer Nanotechnology (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 16
Emergence and impact of theranostic‐nanoformulation of triple therapeutics for combination cancer therapy
Amit Kumar Rajora, Eknath D. Ahire, Manju A. K. Rajora, et al.
Smart Medicine (2024) Vol. 3, Iss. 1
Open Access | Times Cited: 13
Development of Polymethine Dyes for NIR‐II Fluorescence Imaging and Therapy
Xin Chen, Jieyan Li, Shubham Roy, et al.
Advanced Healthcare Materials (2024) Vol. 13, Iss. 16
Closed Access | Times Cited: 13
The role of imaging in targeted delivery of nanomedicine for cancer therapy
Puze Li, Dongdong Wang, Jun Hu, et al.
Advanced Drug Delivery Reviews (2022) Vol. 189, pp. 114447-114447
Closed Access | Times Cited: 44
Artificial intelligence in liver cancers: Decoding the impact of machine learning models in clinical diagnosis of primary liver cancers and liver cancer metastases
Anita K. Bakrania, Narottam Joshi, Xun Zhao, et al.
Pharmacological Research (2023) Vol. 189, pp. 106706-106706
Open Access | Times Cited: 34
Converting Nanotoxicity Data to Information Using Artificial Intelligence and Simulation
Xiliang Yan, Tongtao Yue, David A. Winkler, et al.
Chemical Reviews (2023) Vol. 123, Iss. 13, pp. 8575-8637
Closed Access | Times Cited: 29
Quantitative Prediction of Inorganic Nanomaterial Cellular Toxicity via Machine Learning
N. Shirokii, Y. Din, Ilya Petrov, et al.
Small (2023) Vol. 19, Iss. 19
Closed Access | Times Cited: 26
Towards artificial intelligence-enabled extracellular vesicle precision drug delivery
Zachary Greenberg, Kiley Graim, Mei He
Advanced Drug Delivery Reviews (2023) Vol. 199, pp. 114974-114974
Closed Access | Times Cited: 26
Nanomedicine Combats Drug Resistance in Lung Cancer
Xiuli Zheng, Xiao-Hai Song, Guonian Zhu, et al.
Advanced Materials (2023) Vol. 36, Iss. 3
Closed Access | Times Cited: 25
Research in the Field of Drug Design and Development
Grażyna Biała, Ewa Kędzierska, Marta Kruk-Słomka, et al.
Pharmaceuticals (2023) Vol. 16, Iss. 9, pp. 1283-1283
Open Access | Times Cited: 23
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
Machine learning applications in nanomaterials: Recent advances and future perspectives
Liang Yang, Hong Wang, Deying Leng, et al.
Chemical Engineering Journal (2024), pp. 156687-156687
Closed Access | Times Cited: 6
Harnessing the Power of Artificial Intelligence in Pharmaceuticals: Current Trends and Future Prospects
Saha Aritra, Indu Singh
Intelligent Pharmacy (2025)
Open Access
Navigating translational research in nanomedicine: A strategic guide to formulation and manufacturing
Xinyue Zhang, Ho Wan Chan, Zitong Shao, et al.
International Journal of Pharmaceutics (2025) Vol. 671, pp. 125202-125202
Open Access
A Review on the Potential of Ginger Essential Oil-based Nanotechnology for Controlling Tropical Plant Diseases
T.H. Ansari, Swathi Sudhakar, N. Prasanna, et al.
Journal of Advances in Biology & Biotechnology (2025) Vol. 28, Iss. 1, pp. 230-248
Closed Access
Revolutionizing iron texture analysis: the role of cold reduction and rolling directions through machine learning insights
Kannan Subburaj, Nuha Alruwais, Rana Alabdan, et al.
Matéria (Rio de Janeiro) (2025) Vol. 30
Open Access
Nanotechnology and Artificial Intelligence in Cancer Treatment
Yashdeep Mukheja, Kashish Pal, Akanksha Ahuja, et al.
Next research. (2025), pp. 100179-100179
Closed Access
Page 1 - Next Page

Scroll to top