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:

RosettaAntibodyDesign (RAbD): A general framework for computational antibody design
Jared Adolf‐Bryfogle, Oleksandr Kalyuzhniy, Michael Kubitz, et al.
PLoS Computational Biology (2018) Vol. 14, Iss. 4, pp. e1006112-e1006112
Open Access | Times Cited: 173

Showing 26-50 of 173 citing articles:

Fast, accurate antibody structure prediction from deep learning on massive set of natural antibodies
Jeffrey A. Ruffolo, Lee‐Shin Chu, Sai Pooja Mahajan, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Closed Access | Times Cited: 33

Affinity maturation of antibody fragments: A review encompassing the development from random approaches to computational rational optimization
Jiaqi Li, Guangbo Kang, Jiewen Wang, et al.
International Journal of Biological Macromolecules (2023) Vol. 247, pp. 125733-125733
Open Access | Times Cited: 21

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: 17

A suite of designed protein cages using machine learning and protein fragment-based protocols
Kyle Meador, Roger Castells‐Graells, Roman Aguirre, et al.
Structure (2024) Vol. 32, Iss. 6, pp. 751-765.e11
Open Access | Times Cited: 7

Applying artificial intelligence to accelerate and de-risk antibody discovery
Astrid Musnier, Christophe Dumet, Saheli Mitra, et al.
Frontiers in Drug Discovery (2024) Vol. 4
Open Access | Times Cited: 6

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: 6

Assessing human B cell repertoire diversity and convergence
Katharina Imkeller, Hedda Wardemann
Immunological Reviews (2018) Vol. 284, Iss. 1, pp. 51-66
Open Access | Times Cited: 57

OptMAVEn-2.0: De novo Design of Variable Antibody Regions against Targeted Antigen Epitopes
Ratul Chowdhury, Matthew F. Allan, Costas D. Maranas
Antibodies (2018) Vol. 7, Iss. 3, pp. 23-23
Open Access | Times Cited: 50

mmCSM-AB: guiding rational antibody engineering through multiple point mutations
Yoochan Myung, Douglas E. V. Pires, David B. Ascher
Nucleic Acids Research (2020) Vol. 48, Iss. W1, pp. W125-W131
Open Access | Times Cited: 45

Directed evolution methods for overcoming trade‐offs between protein activity and stability
Samuel D. Stimple, Matthew D. Smith, Peter M. Tessier
AIChE Journal (2019) Vol. 66, Iss. 3
Open Access | Times Cited: 43

Prospects of Neutralizing Nanobodies Against SARS-CoV-2
Fangfang Chen, Zhihong Liu, Fan Jiang
Frontiers in Immunology (2021) Vol. 12
Open Access | Times Cited: 36

Applications of Machine and Deep Learning in Adaptive Immunity
Margarita Pertseva, Beichen Gao, Daniel Neumeier, et al.
Annual Review of Chemical and Biomolecular Engineering (2021) Vol. 12, Iss. 1, pp. 39-62
Open Access | Times Cited: 34

Iterative Refinement Graph Neural Network for Antibody Sequence-Structure Co-design
Wengong Jin, Jeremy Wohlwend, Regina Barzilay, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 33

How can we discover developable antibody-based biotherapeutics?
Joschka Bauer, Nandhini Rajagopal, Priyanka Gupta, et al.
Frontiers in Molecular Biosciences (2023) Vol. 10
Open Access | Times Cited: 16

Fast and accurate modeling and design of antibody-antigen complex using tFold
Fandi Wu, Yu Zhao, Jiaxiang Wu, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open 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

A consensus protocol for the in silico optimisation of antibody fragments
Miguel A. Soler, Barbara Medagli, Marta S. Semrau, et al.
Chemical Communications (2019) Vol. 55, Iss. 93, pp. 14043-14046
Open Access | Times Cited: 36

Binding affinity prediction for antibody–protein antigen complexes: A machine learning analysis based on interface and surface areas
Yong Xiao Yang, Pan Wang, Bao Ting Zhu
Journal of Molecular Graphics and Modelling (2022) Vol. 118, pp. 108364-108364
Open Access | Times Cited: 19

Enhancing antibody affinity through experimental sampling of non-deleterious CDR mutations predicted by machine learning
Thomas A. Clark, Vidya Subramanian, Akila Jayaraman, et al.
Communications Chemistry (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 11

Accurate prediction of CDR-H3 loop structures of antibodies with deep learning
Hedi Chen, Xiaoyu Fan, Shuqian Zhu, et al.
eLife (2024) Vol. 12
Open 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

Monoclonal antibodies: From magic bullet to precision weapon
Hassan Aboul-Ella, Asmaa Gohar, Aya Ahmed Ali, et al.
Molecular Biomedicine (2024) Vol. 5, Iss. 1
Open Access | Times Cited: 4

Computational design and improvement of a broad influenza virus HA stem targeting antibody
Huarui Duan, Xiaojing Chi, Xue-Hua Yang, et al.
Structure (2025)
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), pp. 33-76
Closed Access

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