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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:

Design of Biopharmaceutical Formulations Accelerated by Machine Learning
Harini Narayanan, Fabian Dingfelder, Itzel Condado Morales, et al.
Molecular Pharmaceutics (2021) Vol. 18, Iss. 10, pp. 3843-3853
Open Access | Times Cited: 52

Showing 1-25 of 52 citing articles:

Simulation-based approaches for drug delivery systems: Navigating advancements, opportunities, and challenges
Iman Salahshoori, Mahdi Golriz, Marcos A.L. Nobre, et al.
Journal of Molecular Liquids (2023) Vol. 395, pp. 123888-123888
Open Access | Times Cited: 42
Applications of machine learning in antibody discovery, process development, manufacturing and formulation: Current trends, challenges, and opportunities
Thanh Tung Khuat, Robert Bassett, Ellen Otte, et al.
Computers & Chemical Engineering (2024) Vol. 182, pp. 108585-108585
Open Access | Times Cited: 19
Surface-Induced Protein Aggregation and Particle Formation in Biologics: Current Understanding of Mechanisms, Detection and Mitigation Strategies
Marie R. G. Kopp, Fulvio Grigolato, Dominik Zürcher, et al.
Journal of Pharmaceutical Sciences (2022) Vol. 112, Iss. 2, pp. 377-385
Closed Access | Times Cited: 44
Approaches to expand the conventional toolbox for discovery and selection of antibodies with drug-like physicochemical properties
Hristo L. Svilenov, Paolo Arosio, Tim Menzen, et al.
mAbs (2023) Vol. 15, Iss. 1
Open Access | Times Cited: 23
In situ analysis of osmolyte mechanisms of proteome thermal stabilization
Monika Pepelnjak, Britta Velten, Nicolas Näpflin, et al.
Nature Chemical Biology (2024) Vol. 20, Iss. 8, pp. 1053-1065
Open Access | Times Cited: 8
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
Design of a thermal stress microfluidic platform to screen stability of therapeutic proteins in pharmaceutical formulations
O. Bortone, Shane A. Fiorenza, Massimiliano Baldassarre, et al.
Current Research in Biotechnology (2025), pp. 100273-100273
Open Access
Machine Learning-Guided Space-filling Designs for High Throughput Liquid Formulation Development
Aniket Chitre, Daria Semochkina, David C. Woods, et al.
Computers & Chemical Engineering (2025), pp. 109007-109007
Open Access
Topical drug formulation for enhanced permeation: A comparison of Bayesian optimisation and response surface methodology with an ibuprofen-loaded poloxamer 407-based formulations case study
Yongrui Xiao, Jela Milić, Anđela Tošić, et al.
International Journal of Pharmaceutics (2025), pp. 125306-125306
Closed Access
The ice age – A review on formulation of Adeno-associated virus therapeutics
Philip Grossen, Irini Skaripa Koukelli, Joost van Haasteren, et al.
European Journal of Pharmaceutics and Biopharmaceutics (2023) Vol. 190, pp. 1-23
Open Access | Times Cited: 17
The Artificial Intelligence-Powered New Era in Pharmaceutical Research and Development: A Review
Phuvamin Suriyaamporn, Boonnada Pamornpathomkul, Prasopchai Patrojanasophon, et al.
AAPS PharmSciTech (2024) Vol. 25, Iss. 6
Closed Access | Times Cited: 5
Particles in Biopharmaceutical Formulations, Part 2: An Update on Analytical Techniques and Applications for Therapeutic Proteins, Viruses, Vaccines and Cells
Alexandra Roesch, Sarah Zölls, Daniela Stadler, et al.
Journal of Pharmaceutical Sciences (2021) Vol. 111, Iss. 4, pp. 933-950
Open Access | Times Cited: 31
Machine Learning-Guided Space-filling Designs for High Throughput Liquid Formulations Development
Aniket Chitre, David C. Woods, Alexei A. Lapkin
(2024)
Open Access | Times Cited: 3
Accelerating Formulation Design via Machine Learning: Generating a High-throughput Shampoo Formulations Dataset
Aniket Chitre, Robert C. M. Querimit, Simon D. Rihm, et al.
Scientific Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 3
Comparison of the Protective Effect of Polysorbates, Poloxamer and Brij on Antibody Stability Against Different Interfaces
Dominik Zürcher, Severin Caduff, Laetitia Aurand, et al.
Journal of Pharmaceutical Sciences (2023) Vol. 112, Iss. 11, pp. 2853-2862
Open Access | Times Cited: 10
Drug product formulation and fill/finish manufacturing process considerations for AAV-based genomic medicines
Madhura Som, Benson Gikanga, Varna Kanapuram, et al.
Journal of Pharmaceutical Sciences (2024) Vol. 113, Iss. 7, pp. 1711-1725
Closed Access | Times Cited: 3
Improving extracellular vesicles production through a Bayesian optimization-based experimental design
Johannes Bader, Harini Narayanan, Paolo Arosio, et al.
European Journal of Pharmaceutics and Biopharmaceutics (2022) Vol. 182, pp. 103-114
Open Access | Times Cited: 17
Improved modeling of crystallization processes by Universal Differential Equations
Fernando Arrais Romero Dias Lima, Carine M. Rebello, Erbet A. Costa, et al.
Process Safety and Environmental Protection (2023) Vol. 200, pp. 538-549
Closed Access | Times Cited: 8
Optimizing Lead Compounds: The Role of Artificial Intelligence in Drug Discovery
Sarfaraz K. Niazi, Zamara Mariam, Matthias Magoola
(2024)
Open Access | Times Cited: 2
Nucleation in Protein Aggregation in Biotherapeutic Development: A look into the Heart of the Event
Tapan K. Das, Danny K. Chou, Wim Jiskoot, et al.
Journal of Pharmaceutical Sciences (2022) Vol. 111, Iss. 4, pp. 951-959
Closed Access | Times Cited: 12
Biosimilar monoclonal antibodies: Challenges and approaches towards formulation
Venkata Appa Reddy Goli, Arun Butreddy
Chemico-Biological Interactions (2022) Vol. 366, pp. 110116-110116
Closed Access | Times Cited: 12
Advancing algorithmic drug product development: Recommendations for machine learning approaches in drug formulation
Jack D. Murray, Justus Johann Lange, Harriet Bennett-Lenane, et al.
European Journal of Pharmaceutical Sciences (2023) Vol. 191, pp. 106562-106562
Open Access | Times Cited: 6
Bayesian cell therapy process optimization
Evan Claes, Tommy Heck, Kathleen Coddens, et al.
Biotechnology and Bioengineering (2024) Vol. 121, Iss. 5, pp. 1569-1582
Closed Access | Times Cited: 1
Computational Pharmaceutics: A Comprehensive Review of Past Achievements, Present Applications, and Future Challenges
Yogesh Chaudhari, Manisha Chaudhari, Abhijeet Puri, et al.
(2024)
Open Access | Times Cited: 1
Understanding the Manufacturing Process of Lipid Nanoparticles for mRNA Delivery Using Machine Learning
Shinya Sato, Syusuke Sano, Hiroki Muto, et al.
Chemical and Pharmaceutical Bulletin (2024) Vol. 72, Iss. 6, pp. 529-539
Open Access | Times Cited: 1
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