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:

Showing 26-50 of 53 citing articles:

Leveraging a large language model to predict protein phase transition: A physical, multiscale, and interpretable approach
Mor Frank, Pengyu Ni, Matthew L. Jensen, et al.
Proceedings of the National Academy of Sciences (2024) Vol. 121, Iss. 33
Open Access | Times Cited: 2
ProtT5 and random forests-based viscosity prediction method for therapeutic mAbs
Xiaohu Hao, Long Fan
European Journal of Pharmaceutical Sciences (2024) Vol. 194, pp. 106705-106705
Open Access | Times Cited: 1
Enhancing viscosity control in antibody formulations: A framework for the biophysical screening of mutations targeting solvent-accessible hydrophobic and electrostatic patches
Georgina Bethany Armstrong, Vidhi Shah, Paula Sanches, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Investigating the Mechanisms of Antibody Binding to Alpha-Synuclein for the Treatment of Parkinson’s Disease
Malcolm C. Harrison, Pin‐Kuang Lai
Molecular Pharmaceutics (2024)
Open Access | Times Cited: 1
Application of Formulation Principles to Stability Issues Encountered During Processing, Manufacturing, and Storage of Drug Substance and Drug Product Protein Therapeutics
Samadhi Vitharana, Joshua M. Stillahn, Derrick S. Katayama, et al.
Journal of Pharmaceutical Sciences (2023) Vol. 112, Iss. 11, pp. 2724-2751
Closed Access | Times Cited: 4
Sequential Sampling Methods for Finding Classification Boundaries in Engineering Applications
Maya Bhat, John R. Kitchin
Industrial & Engineering Chemistry Research (2023) Vol. 62, Iss. 37, pp. 15326-15339
Open Access | Times Cited: 3
High-Throughput Counting and Sizing of Therapeutic Protein Aggregates in the Nanometer Size Range by Nano-Flow Cytometry
Kaimin Gao, Lian Hong, Chengfeng Xue, et al.
Analytical Chemistry (2022) Vol. 94, Iss. 50, pp. 17634-17644
Closed Access | Times Cited: 5
Simulation of high‐concentration self‐interactions for monoclonal antibodies from well‐behaved to poorly‐behaved systems
James K. Forder, Andrew J. Ilott, Erinç Şahin, et al.
AIChE Journal (2022) Vol. 69, Iss. 4
Closed Access | Times Cited: 4
DeepSP: Deep Learning-Based Spatial Properties to Predict Monoclonal Antibody Stability
Lateefat Kalejaye, I-En Wu, T. Philip Terry, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Investigating the mechanisms of antibody binding to alpha-synuclein for the treatment of Parkinson’s Disease
Malcolm C. Harrison, Pin‐Kuang Lai
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
A first insight into the developability of an IgG3: A combined computational and experimental approach
Georgina Bethany Armstrong, Alan B. Cobo- Lewis, Vidhi Shah, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Sequence-Based Viscosity Prediction for Rapid Antibody Engineering
Bram Estes, Mani Jain, Lei Jia, et al.
Biomolecules (2024) Vol. 14, Iss. 6, pp. 617-617
Open Access
Deep learning framework for peak detection at the intact level of therapeutic proteins
Saxena Nikita, Sanghati Bhattacharya, Kriti Manocha, et al.
Journal of Separation Science (2024) Vol. 47, Iss. 11
Closed Access
AI Models for Biopharmaceutical Property Prediction
Bancha Yingngam
(2024), pp. 407-449
Closed Access
Molecular Modeling Methods in the Development of Affine and Specific Protein-Binding Agents
Shamsudin S. Nasaev, Artem Mukanov, Ivan V Mishkorez, et al.
Biochemistry (Moscow) (2024) Vol. 89, Iss. 8, pp. 1451-1473
Closed Access
Predictive Model Building for Aggregation Kinetics Based on Molecular Dynamics Simulations of an Antibody Fragment
Yuhan Wang, Hywel D. Williams, Duygu Dikicioǧlu, et al.
Molecular Pharmaceutics (2024)
Open Access
Hybrid Mass Spectrometry Applied across the Production of Antibody Biotherapeutics
Emilia Christofi, Mark O’Hanlon, Robin Curtis, et al.
Journal of the American Society for Mass Spectrometry (2024)
Open Access
Machine Learning Models for Predicting Monoclonal Antibody Biophysical Properties from Molecular Dynamics Simulations and Deep Learning-Based Surface Descriptors
I-En Wu, Lateefat Kalejaye, Pin‐Kuang Lai
Molecular Pharmaceutics (2024) Vol. 22, Iss. 1, pp. 142-153
Closed Access
The Application of Machine Learning on Antibody Discovery and Optimization
Jiayao Zheng, Yu Wang, Liang Qin, et al.
Molecules (2024) Vol. 29, Iss. 24, pp. 5923-5923
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
“IgG’s: contending with aggregating circumstances”
Paul Toran, Lisa Arvidson, Alexandra Vachon, et al.
International Journal of Molecular Biology Open Access (2024) Vol. 7, Iss. 1, pp. 32-33
Open Access
A Review on the Use of Machine Learning for Pharmaceutical Formulations
Helder Pestana, Rodrigo Bonacin, Ferrucio de Franco Rosa, et al.
Advances in intelligent systems and computing (2024), pp. 339-344
Closed Access
Leveraging Multi-Modal Feature Learning for Predictions of Antibody Viscosity
Krishna D. B. Anapindi, Kai Liu, Willie Wang, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
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
Reconciling predicted and measured viscosity parameters in high concentration therapeutic antibody solutions
Georgina Bethany Armstrong, Aisling Roche, William Lewis, et al.
mAbs (2024) Vol. 16, Iss. 1
Open Access

Scroll to top