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:

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: 66

Showing 1-25 of 66 citing articles:

Deep mutational scanning of H5 hemagglutinin to inform influenza virus surveillance
Bernadeta Dadonaite, Jenny Ahn, Jordan T. Ort, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 8

Toward enhancement of antibody thermostability and affinity by computational design in the absence of antigen
Mark R. Hutchinson, Jeffrey A. Ruffolo, Nantaporn Haskins, et al.
mAbs (2024) Vol. 16, Iss. 1
Open Access | Times Cited: 8

Learning the Language of Antibody Hypervariability
Rohit Singh, Chiho Im, Yu Qiu, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 14

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

Nanobody engineering: computational modelling and design for biomedical and therapeutic applications
Nehad S. El Salamouni, Jordan H. Cater, Lisanne M. Spenkelink, et al.
FEBS Open Bio (2024) Vol. 15, Iss. 2, pp. 236-253
Open Access | Times Cited: 5

Computational protein design
Katherine I. Albanese, Sophie Barbe, Derek N. Woolfson, et al.
Nature Reviews Methods Primers (2025) Vol. 5, Iss. 1
Open Access

Fast and accurate modeling of TCR-peptide-MHC complexes using tFold-TCR
Fandi Wu, Yu Zhao, Yang Xiao, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2025)
Closed Access

Challenges and compromises: Predicting unbound antibody structures with deep learning
Alexander Greenshields‐Watson, Odysseas Vavourakis, Fabian C. Spoendlin, et al.
Current Opinion in Structural Biology (2025) Vol. 90, pp. 102983-102983
Open Access

Regulating the Orientation of Homobivalent Small Binders Through 3d Domain-Swapping Design
Shota Shiga, Hideki Watanabe, Koki Makabe, et al.
(2025)
Closed Access

Role of Artificial Intelligence and Machine Learning in Antibody Science
Andrei Moroz, Cory L. Brooks
Monoclonal Antibodies in Immunodiagnosis and Immunotherapy (2025)
Closed Access

Quantifying antibody binding: techniques and therapeutic implications
James Lodge, Lewis Kajtar, R. E. Duxbury, et al.
mAbs (2025) Vol. 17, Iss. 1
Open Access

EvoNB: A Protein Language Model-Based Workflow for Nanobody Mutation Prediction and Optimization
Danyang Xiong, Yongfan Ming, Yuting Li, et al.
Journal of Pharmaceutical Analysis (2025), pp. 101260-101260
Open Access

Allosteric Anti-KLK4 Antibody Development for Targeted Anti-Cancer Effects in Ovarian Carcinoma
Nikolaos A. Afratis, Blake T. Riley, Peter G. Chandler, et al.
Journal of Molecular Biology (2025), pp. 169101-169101
Closed Access

Unlocking human immune system complexity through AI
Eloïse Berson, Philip Chung, Camilo Espinosa, et al.
Nature Methods (2024) Vol. 21, Iss. 8, pp. 1400-1402
Closed Access | Times Cited: 4

High-throughput protein binder discovery by rapid in vivo selection
Matthew Styles, Joshua A. Pixley, Tongyao Wei, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access

AI-assisted protein design to rapidly convert antibody sequences to intrabodies targeting diverse peptides and histone modifications
Gabriel Galindo, Daiki Maejima, Jacob DeRoo, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access

Call for Submissions: Role of Artificial Intelligence and Machine Learning in Antibody Science
Andrei Moroz, Cory L. Brooks
Monoclonal Antibodies in Immunodiagnosis and Immunotherapy (2025)
Closed Access

Bacteriophage therapy for multidrug-resistant infections: current technologies and therapeutic approaches
Minyoung Kevin Kim, Gina A. Suh, Grace Cullen, et al.
Journal of Clinical Investigation (2025) Vol. 135, Iss. 5
Open Access

‘A landmark moment’: scientists use AI to design antibodies from scratch
Ewen Callaway
Nature (2024)
Closed Access | Times Cited: 3

A comprehensive overview of recent advances in generative models for antibodies
Fanxu Meng, Na Zhou, Hu Guangchun, et al.
Computational and Structural Biotechnology Journal (2024) Vol. 23, pp. 2648-2660
Open Access | Times Cited: 3

Artificial intelligence and machine learning applications for cultured meat
Michael E. Todhunter, Sheikh Jubair, Ruchika Verma, et al.
Frontiers in Artificial Intelligence (2024) Vol. 7
Open Access | Times Cited: 3

Complex-based Ligand-Binding Proteins Redesign by Equivariant Diffusion-based Generative Models
Viet Thanh Duy Nguyen, Nhan Duc Nguyen, Truong Son Hy
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 2

Combining transformer and 3DCNN models to achieve co-design of structures and sequences of antibodies in a diffusional manner
Yue Hu, Tao Feng, WenJun Lan, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Closed Access | Times Cited: 2

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