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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:

Computational and artificial intelligence-based methods for antibody development
Ji‐Sun Kim, Matthew McFee, Qiao Fang, et al.
Trends in Pharmacological Sciences (2023) Vol. 44, Iss. 3, pp. 175-189
Open Access | Times Cited: 84

Showing 1-25 of 84 citing articles:

Artificial Intelligence for Drug Discovery: Are We There Yet?
Catrin Hasselgren, Tudor I. Oprea
The Annual Review of Pharmacology and Toxicology (2023) Vol. 64, Iss. 1, pp. 527-550
Open Access | Times Cited: 64
Atomically accurate de novo design of single-domain antibodies
Nathaniel R. Bennett, Joseph L. Watson, Robert J. Ragotte, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 57
Sparks of function by de novo protein design
Alexander E. Chu, Tianyu Lu, Po‐Ssu Huang
Nature Biotechnology (2024) Vol. 42, Iss. 2, pp. 203-215
Closed Access | Times Cited: 27
Development and use of machine learning algorithms in vaccine target selection
Barbara Bravi
npj Vaccines (2024) Vol. 9, Iss. 1
Open Access | Times Cited: 22
Tribulations and future opportunities for artificial intelligence in precision medicine
Claudio Carini, Attila A. Seyhan
Journal of Translational Medicine (2024) Vol. 22, Iss. 1
Open Access | Times Cited: 21
Therapeutic Antibodies in Medicine
Prerna Sharma, Rahul V. Joshi, Robert C. Pritchard, et al.
Molecules (2023) Vol. 28, Iss. 18, pp. 6438-6438
Open Access | Times Cited: 25
Computational Methods in Immunology and Vaccinology: Design and Development of Antibodies and Immunogens
Federica Guarra, Giorgio Colombo
Journal of Chemical Theory and Computation (2023) Vol. 19, Iss. 16, pp. 5315-5333
Open Access | Times Cited: 23
Prospects for the computational humanization of antibodies and nanobodies
G. Gordon, Matthew I. J. Raybould, Chi Yan Wong, et al.
Frontiers in Immunology (2024) Vol. 15
Open Access | Times Cited: 9
Leveraging Artificial Intelligence to Expedite Antibody Design and Enhance Antibody–Antigen Interactions
Doo Nam Kim, Andrew McNaughton, Neeraj Kumar
Bioengineering (2024) Vol. 11, Iss. 2, pp. 185-185
Open Access | Times Cited: 7
A survey of generative AI for de novo drug design: new frontiers in molecule and protein generation
Xiangru Tang, Howard Dai, Elizabeth Knight, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 4
Open Access | Times Cited: 7
Navigating the landscape: A comprehensive overview of computational approaches in therapeutic antibody design and analysis
Amar Jeet Yadav, Khushboo Bhagat, Arpana Sharma, et al.
Advances in protein chemistry and structural biology (2025)
Closed Access
Accelerating antibody discovery and design with artificial intelligence: Recent advances and prospects
Ganggang Bai, Chuance Sun, Ziang Guo, et al.
Seminars in Cancer Biology (2023) Vol. 95, pp. 13-24
Closed Access | Times Cited: 14
Next generation of multispecific antibody engineering
Dániel Kéri, Matt Walker, Isha Singh, et al.
Antibody Therapeutics (2023) Vol. 7, Iss. 1, pp. 37-52
Open Access | Times Cited: 14
Development of a sensitive immunoassay for detecting persistent contaminant dichlorodiphenyltrichloroethane (DDT) in food samples using a monoclonal antibody
Hyewon Lee, Minji Ko, Jinju Lee, et al.
Food Control (2024) Vol. 160, pp. 110320-110320
Closed Access | Times Cited: 5
A new era of antibody discovery: an in-depth review of AI-driven approaches
Jin Cheng, Tianjian Liang, Xiang‐Qun Xie, et al.
Drug Discovery Today (2024) Vol. 29, Iss. 6, pp. 103984-103984
Closed Access | Times Cited: 5
De novo design of high-affinity single-domain antibodies
Rob van der Kant, Zhongyao Zhang, Iva Marković, et al.
(2024)
Closed Access | Times Cited: 5
Structure-aware machine learning strategies for antimicrobial peptide discovery
Mariana del Carmen Aguilera‐Puga, Fabien Plisson
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 5
Strengths and weaknesses of current and future prospects of artificial intelligence-mounted technologies applied in the development of pharmaceutical products and services
Ahmed Mahmoud Abdelhaleem Ali, Majed Alrobaian
Saudi Pharmaceutical Journal (2024) Vol. 32, Iss. 5, pp. 102043-102043
Open Access | Times Cited: 4
Emerging trends and therapeutic applications of monoclonal antibodies
M. Janaki Ramaiah, Hari P. Nalluri, Prakash Narayana Reddy, et al.
Gene (2024) Vol. 925, pp. 148607-148607
Closed Access | Times Cited: 4
Antibody design using deep learning: from sequence and structure design to affinity maturation
Sara Joubbi, Alessio Micheli, Paolo Milazzo, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 4
Open Access | Times Cited: 4
Bispecific antibodies: advancing precision oncology
M. Zurita Herrera, G. Pretelli, Jayesh Desai, et al.
Trends in cancer (2024) Vol. 10, Iss. 10, pp. 893-919
Open Access | Times Cited: 3
Next-Generation Therapeutic Antibodies for Cancer Treatment: Advancements, Applications, and Challenges
A. Raja, Abhishek Kasana, Vaishali Verma
Molecular Biotechnology (2024)
Closed Access | Times Cited: 3
Towards the accurate modelling of antibody-antigen complexes from sequence using machine learning and information-driven docking
Marco Giulini, Constantin Schneider, Daniel Cutting, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 9
Advancing Subcutaneous Dosing Regimens for Biotherapeutics: Clinical Strategies for Expedited Market Access
Beate Bittner, Johannes Schmidt
BioDrugs (2023) Vol. 38, Iss. 1, pp. 23-46
Open Access | Times Cited: 8
Editorial: Progress and challenges in computational structure-based design and development of biologic drugs
Traian Sulea, Sandeep Kumar, Daisuke Kuroda
Frontiers in Molecular Biosciences (2024) Vol. 11
Open Access | Times Cited: 2
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