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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:

Discovery-stage identification of drug-like antibodies using emerging experimental and computational methods
Emily K. Makowski, Lina Wu, Priyanka Gupta, et al.
mAbs (2021) Vol. 13, Iss. 1
Open Access | Times Cited: 44

Showing 1-25 of 44 citing articles:

Co-optimization of therapeutic antibody affinity and specificity using machine learning models that generalize to novel mutational space
Emily K. Makowski, Patrick C. Kinnunen, Jie Huang, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 91
Applications of machine learning in antibody discovery, process development, manufacturing and formulation: Current trends, challenges, and opportunities
Thanh Tung Khuat, Robert Bassett, Ellen Otte, et al.
Computers & Chemical Engineering (2024) Vol. 182, pp. 108585-108585
Open Access | Times Cited: 19
Machine learning prediction of antibody aggregation and viscosity for high concentration formulation development of protein therapeutics
Pin‐Kuang Lai, Austin S. Gallegos, Neil Mody, et al.
mAbs (2022) Vol. 14, Iss. 1
Open Access | Times Cited: 53
CRISPR/Cas9 Genome Editing for Tissue‐Specific In Vivo Targeting: Nanomaterials and Translational Perspective
Deepak Kumar Sahel, Lalitkumar K. Vora, Aishwarya Saraswat, et al.
Advanced Science (2023) Vol. 10, Iss. 19
Open Access | Times Cited: 29
Approaches to expand the conventional toolbox for discovery and selection of antibodies with drug-like physicochemical properties
Hristo L. Svilenov, Paolo Arosio, Tim Menzen, et al.
mAbs (2023) Vol. 15, Iss. 1
Open Access | Times Cited: 23
Artificial intelligence in cancer immunotherapy: Applications in neoantigen recognition, antibody design and immunotherapy response prediction
Li Tong, Yupeng Li, Xiaoyi Zhu, et al.
Seminars in Cancer Biology (2023) Vol. 91, pp. 50-69
Closed Access | Times Cited: 21
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
Reduction of monoclonal antibody viscosity using interpretable machine learning
Emily K. Makowski, Hsin-Ting Chen, Tiexin Wang, et al.
mAbs (2024) Vol. 16, Iss. 1
Open Access | Times Cited: 7
Trends and Challenges in Bispecific Antibody Production
Mikhail S. Karbyshev, Irina Kalashnikova, Veronika Dubrovskaya, et al.
Journal of Chromatography A (2025), pp. 465722-465722
Closed Access
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
Optimization of therapeutic antibodies for reduced self-association and non-specific binding via interpretable machine learning
Emily K. Makowski, Tiexin Wang, Jennifer M. Zupancic, et al.
Nature Biomedical Engineering (2023) Vol. 8, Iss. 1, pp. 45-56
Closed Access | Times Cited: 17
Deep learning in preclinical antibody drug discovery and development
Yuwei Zhou, Ziru Huang, Wenzhen Li, et al.
Methods (2023) Vol. 218, pp. 57-71
Closed Access | Times Cited: 16
Optimization of Drug-Linker to Enable Long-term Storage of Antibody–Drug Conjugate for Subcutaneous Dosing
Adrian D. Hobson, Jianwen Xu, Christopher C. Marvin, et al.
Journal of Medicinal Chemistry (2023) Vol. 66, Iss. 13, pp. 9161-9173
Closed Access | Times Cited: 14
Engineering hydrophobicity and manufacturability for optimized biparatopic antibody–drug conjugates targeting c-MET
Andreas Evers, Simon Krah, Deniz Demir, et al.
mAbs (2024) Vol. 16, Iss. 1
Open Access | Times Cited: 5
Reduction of therapeutic antibody self-association using yeast-display selections and machine learning
Emily K. Makowski, Hongwei Chen, Matthew Lambert, et al.
mAbs (2022) Vol. 14, Iss. 1
Open Access | Times Cited: 21
Discovery of ABBV-154, an anti-TNF Glucocorticoid Receptor Modulator Immunology Antibody-Drug Conjugate (iADC)
Adrian D. Hobson, Jianwen Xu, Dennie S. Welch, et al.
Journal of Medicinal Chemistry (2023) Vol. 66, Iss. 17, pp. 12544-12558
Closed Access | Times Cited: 13
Status and future developments for downstream processing of biological products
Alois Jungbauer, Gisela Ferreira, Michelle Butler, et al.
Biotechnology and Bioengineering (2024) Vol. 121, Iss. 8, pp. 2524-2541
Open Access | Times Cited: 3
Physiologically Based Modeling to Predict Monoclonal Antibody Pharmacokinetics in Humans from in vitro Physiochemical Properties
Shihao Hu, Amita Datta‐Mannan, David Z. D’Argenio
mAbs (2022) Vol. 14, Iss. 1
Open Access | Times Cited: 18
Physiologically Based Pharmacokinetic Modeling to Characterize the Effect of Molecular Charge on Whole-Body Disposition of Monoclonal Antibodies
Shufang Liu, Dhaval K. Shah
The AAPS Journal (2023) Vol. 25, Iss. 3
Closed Access | Times Cited: 9
Biomaterials-assisted construction of neoantigen vaccines for personalized cancer immunotherapy
Yumin Wu, Liangzhu Feng
Expert Opinion on Drug Delivery (2023) Vol. 20, Iss. 3, pp. 323-333
Closed Access | Times Cited: 8
Simplifying complex antibody engineering using machine learning
Emily K. Makowski, Hsin-Ting Chen, Peter M. Tessier
Cell Systems (2023) Vol. 14, Iss. 8, pp. 667-675
Open Access | Times Cited: 8
A library approach for the de novo high-throughput isolation of humanized VHH domains with favorable developability properties following camelid immunization
Paul Arras, Han Byul Yoo, Lukas Pekar, et al.
mAbs (2023) Vol. 15, Iss. 1
Open Access | Times Cited: 8
AI/ML combined with next-generation sequencing of VHH immune repertoires enables the rapid identification of de novo humanized and sequence-optimized single domain antibodies: a prospective case study
Paul Arras, Han Byul Yoo, Lukas Pekar, et al.
Frontiers in Molecular Biosciences (2023) Vol. 10
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
The medicinal chemistry evolution of antibody–drug conjugates
Adrian D. Hobson
RSC Medicinal Chemistry (2024) Vol. 15, Iss. 3, pp. 809-831
Closed Access | Times Cited: 2
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