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:

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

Showing 17 citing articles:

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
Biophysical cartography of the native and human-engineered antibody landscapes quantifies the plasticity of antibody developability
Habib Bashour, Eva Smorodina, Matteo Pariset, et al.
Communications Biology (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 6
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
In silico methods for immunogenicity risk assessment and human homology screening for therapeutic antibodies
Aimee E. Mattei, Andrés H. Gutiérrez, Soorya Seshadri, et al.
mAbs (2024) Vol. 16, Iss. 1
Open Access | Times Cited: 4
Recent advances in generative biology for biotherapeutic discovery
Marissa Mock, Christopher J. Langmead, Peter Grandsard, et al.
Trends in Pharmacological Sciences (2024) Vol. 45, Iss. 3, pp. 255-267
Open Access | Times Cited: 3
Prediction of polyspecificity from antibody sequence data by machine learning
Szabolcs Éliás, Clemens Wrzodek, Charlotte M. Deane, et al.
Frontiers in Bioinformatics (2024) Vol. 3
Open Access | Times Cited: 2
Biophysical cartography of the native and human-engineered antibody landscapes quantifies the plasticity of antibody developability
Habib Bashour, Eva Smorodina, Matteo Pariset, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 2
Development of a Minimal Physiologically-Based Pharmacokinetic Modeling / Machine Learning Framework for Early Target Pharmacology Assessment
Panteleimon D. Mavroudis, Krutika Patidar, Nikhil Pillai, et al.
Research Square (Research Square) (2024)
Open Access
Survey of Chemical Unfolding Complexity as a Unique Stability Assessment Assay for Monoclonal Antibodies
James Floyd, Jeremy M. Shaver
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Binding Promiscuity of Therapeutic Factor VIII
Alejandra Reyes‐Ruiz, Aishwarya Sudam Bhale, Krishnan Venkataraman, et al.
Thrombosis and Haemostasis (2024)
Closed Access
Human antibody polyreactivity is governed primarily by the heavy-chain complementarity-determining regions
Hsin-Ting Chen, Yulei Zhang, Jie Huang, et al.
Cell Reports (2024) Vol. 43, Iss. 10, pp. 114801-114801
Open Access
PROPERMAB: an integrative framework for in silico prediction of antibody developability using machine learning
Li Bian, Senlin Luo, Wenhua Wang, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
A strategy to design protein-based antagonists against type I cytokine receptors
Timo Ullrich, Olga Klimenkova, Christoph Pollmann, et al.
PLoS Biology (2024) Vol. 22, Iss. 11, pp. e3002883-e3002883
Open Access
Survey of Chemical Unfolding Complexity as a Unique Stability Assessment Assay for Monoclonal Antibodies
James Floyd, Jeremy M. Shaver
Analytical Biochemistry (2024), pp. 115729-115729
Closed Access
Rationalizing mAb Candidate Screening Using a Single Holistic Developability Parameter
Leon F. Willis, Isabelle Trayton, Janet C. Saunders, et al.
Molecular Pharmaceutics (2024) Vol. 22, Iss. 1, pp. 181-195
Open Access
Predicting adaptive immune receptor specificities by machine learning is a data generation problem
Derek M. Mason, Sai T. Reddy
Cell Systems (2024) Vol. 15, Iss. 12, pp. 1190-1197
Open Access
Biophysical Analysis of Therapeutic Antibodies in the Early Development Pipeline
Leon F. Willis, Nikil Kapur, Sheena E. Radford, et al.
Biologics (2024) Vol. Volume 18, pp. 413-432
Open Access
Page 1

Scroll to top