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 51-75 of 68 citing articles:

Microfluidics-enabled fluorescence-activated cell sorting of single pathogen-specific antibody secreting cells for the rapid discovery of monoclonal antibodies
Katrin Fischer, Aleksei Lulla, Tsz Y. So, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 2
Mechanistic PK/PD modeling to address early-stage biotherapeutic dosing feasibility questions
Joshuaine Grant, Fei Hua, Joshua F. Apgar, et al.
mAbs (2023) Vol. 15, Iss. 1
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
Holistic in silico developability assessment of novel classes of small proteins using publicly available sequence-based predictors
Daniel A. M. Pais, Jan-Peter A. Mayer, Karin Felderer, et al.
Journal of Computer-Aided Molecular Design (2024) Vol. 38, Iss. 1
Closed Access
AI-accelerated therapeutic antibody development: practical insights
Luca Santuari, Marianne Bachmann Salvy, Ioannis Xénarios, et al.
Frontiers in Drug Discovery (2024) Vol. 4
Open Access
The Accurate Prediction of Antibody Deamidations by Combining High-Throughput Automated Peptide Mapping and Protein Language Model-Based Deep Learning
Ben Niu, Benjamin C. Lee, Lili Wang, et al.
Antibodies (2024) Vol. 13, Iss. 3, pp. 74-74
Open Access
Thermal and pH stress dictate distinct mechanisms of monoclonal antibody aggregation
Huan Meng, Kuin Tian Pang, Corrine Wan, et al.
International Journal of Biological Macromolecules (2024), pp. 136601-136601
Closed Access
Understanding the impacts of dual methionine oxidations in complementarity-determining regions on the structure of monoclonal antibodies
Bo Zhao, Jung-Ki Yoon, Bojie Zhang, et al.
mAbs (2024) Vol. 16, Iss. 1
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
A systemic approach to identifying sequence frameworks that decrease mAb production in a transient Chinese hamster ovary cell expression system
Alana C. Szkodny, Kelvin H. Lee
Biotechnology Progress (2024) Vol. 40, Iss. 5
Closed Access
Comparison of Four Rapid N-Glycan Analytical Methods and Great Application Potential in Cell Line Development
Jin Xiao-qing, Jianlin Chu, Bingfang He
Applied Sciences (2024) Vol. 14, Iss. 16, pp. 7320-7320
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
Viscosity Prediction of High-Concentration Antibody Solutions with Atomistic Simulations
Tobias M. Prass, Patrick Garidel, Michaela Blech, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 1
Combination of On-Line and Off-Line Two-Dimensional Liquid Chromatography-Mass Spectrometry for Comprehensive Characterization of mAb Charge Variants and Precise Instructions for Rapid Process Development
Jin Xiao-qing, Bingfang He
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 20, pp. 15184-15184
Open Access | Times Cited: 1
SUMO –In SilicoSequence Assessment Using Multiple Optimization Parameters
Andreas Evers, Shipra Malhotra, Wolf-Guido Bolick, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 2
Single-Cell B-Cell Sequencing to Generate Natively Paired scFab Yeast Surface Display Libraries
Nathaniel Pascual, Theodore Belecciu, Sam Schmidt, et al.
Methods in molecular biology (2023), pp. 175-212
Open Access
Holistic in silico developability assessment of novel classes of small proteins using publicly available sequence-based predictors
Daniel A. M. Pais, Jan-Peter A. Mayer, Karin Felderer, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
Single-Cell B-cell Sequencing to Generate Natively-paired scFab Yeast Surface Display Libraries
Nathaniel Pascual, Theodore Belecciu, Sam Schmidt, et al.
Research Square (Research Square) (2022)
Open Access
Previous Page - Page 3

Scroll to top