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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:

ProTstab2 for Prediction of Protein Thermal Stabilities
Yang Yang, Jianjun Zhao, Lianjie Zeng, et al.
International Journal of Molecular Sciences (2022) Vol. 23, Iss. 18, pp. 10798-10798
Open Access | Times Cited: 37

Showing 1-25 of 37 citing articles:

Machine Learning-Guided Protein Engineering
Petr Kouba, Pavel Kohout, Faraneh Haddadi, et al.
ACS Catalysis (2023) Vol. 13, Iss. 21, pp. 13863-13895
Open Access | Times Cited: 95
DeepSTABp: A Deep Learning Approach for the Prediction of Thermal Protein Stability
Felix Jung, Kevin Frey, David Zimmer, et al.
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 8, pp. 7444-7444
Open Access | Times Cited: 52
DeepTP: A Deep Learning Model for Thermophilic Protein Prediction
Jianjun Zhao, Wenying Yan, Yang Yang
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 3, pp. 2217-2217
Open Access | Times Cited: 33
Exploring new galaxies: Perspectives on the discovery of novel PET-degrading enzymes
Jan Mičan, Da’san M. M. Jaradat, Weidong Liu, et al.
Applied Catalysis B Environment and Energy (2023) Vol. 342, pp. 123404-123404
Closed Access | Times Cited: 30
Fluorescence-Based Protein Stability Monitoring—A Review
Negin Gooran, Kari Kopra
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 3, pp. 1764-1764
Open Access | Times Cited: 14
Data and AI-driven synthetic binding protein discovery
Yanlin Li, Zixin Duan, Zhenwen Li, et al.
Trends in Pharmacological Sciences (2025)
Closed Access | Times Cited: 1
Metabolic modeling identifies determinants of thermal growth responses in Arabidopsis thaliana
Philipp Wendering, Gregory M. Andreou, Roosa A. E. Laitinen, et al.
New Phytologist (2025)
Open Access | Times Cited: 1
Accelerating therapeutic protein design with computational approaches toward the clinical stage
Zhidong Chen, Xinpei Wang, Xu Chen, et al.
Computational and Structural Biotechnology Journal (2023) Vol. 21, pp. 2909-2926
Open Access | Times Cited: 22
Predicting absolute protein folding stability using generative models
Matteo Cagiada, Sergey Ovchinnikov, Kresten Lindorff‐Larsen
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 7
DeepTM: A deep learning algorithm for prediction of melting temperature of thermophilic proteins directly from sequences
Mengyu Li, Hongzhao Wang, Zhenwu Yang, et al.
Computational and Structural Biotechnology Journal (2023) Vol. 21, pp. 5544-5560
Open Access | Times Cited: 15
TemBERTure: advancing protein thermostability prediction with deep learning and attention mechanisms
Chiara Rodella, Symela Lazaridi, Thomas Lemmin
Bioinformatics Advances (2024) Vol. 4, Iss. 1
Open Access | Times Cited: 5
Predicting absolute protein folding stability using generative models
Matteo Cagiada, Sergey Ovchinnikov, Kresten Lindorff‐Larsen
Protein Science (2024) Vol. 34, Iss. 1
Open Access | Times Cited: 4
Prediction of protein biophysical traits from limited data: a case study on nanobody thermostability through NanoMelt
Aubin Ramon, Mingyang Ni, Olga Predeina, et al.
mAbs (2025) Vol. 17, Iss. 1
Open Access
The influence of reduced amino acid alphabets on prediction orthologous protein thermostability
Yuxin Jiang, Xiaoyu Yuan, Sumei Zheng, et al.
Research Square (Research Square) (2025)
Closed Access
ProCeSa: Contrast-Enhanced Structure-Aware Network for Thermostability Prediction with Protein Language Models
Feixiang Zhou, Shuo Zhang, Huifeng Zhang, et al.
Journal of Chemical Information and Modeling (2025)
Open Access
The influence of reduced amino acid alphabets on prediction orthologous protein thermostability
Yuxin Jiang, Xiaoyu Yuan, Sumei Zheng, et al.
Biologia (2025)
Closed Access
Prediction and design of thermostable proteins with a desired melting temperature
P. A. Tijare, Nishant Kumar, Gajendra P. S. Raghava
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
TEMPRO: nanobody melting temperature estimation model using protein embeddings
Jerome Anthony E. Alvarez, Scott N. Dean
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
ESMStabP: A Regression Model for Protein Thermostability Prediction
Maria‐Helena Ramos, Robert L. Jernigan, Mesih Kilinc
bioRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access
Excelzyme: A Swiss University-Industry Collaboration for Accelerated Biocatalyst Development
Sumire Honda Malca, Peter Stockinger, Nadine Duss, et al.
CHIMIA International Journal for Chemistry (2024) Vol. 78, Iss. 3, pp. 108-117
Open Access | Times Cited: 1
EsmTemp - Transfer Learning Approach for Predicting Protein Thermostability
Adam Sułek, Jakub Jończyk, Patryk Orzechowski, et al.
Lecture notes in computer science (2024), pp. 187-194
Closed Access | Times Cited: 1
PON-Tm: A Sequence-Based Method for Prediction of Missense Mutation Effects on Protein Thermal Stability Changes
Jiahao Kuang, Zhihong Zhao, Yang Yang, et al.
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 15, pp. 8379-8379
Open Access | Times Cited: 1
Targeted Genome Mining Facilitates the Discovery of a Promiscuous, Hyperthermostable Amidase from Thermovenabulum gondwanense with Notable Nylon‐Degrading Capacity
Esther R. Hoffman, Alana M. M. Rangaswamy, Maria E. Cleveland, et al.
Angewandte Chemie (2024)
Open Access | Times Cited: 1
Differentiating stable and unstable protein using convolution neural network and molecular dynamics simulations
Shreyansh Suyash, Akshat Jha, Priyasha Maitra, et al.
Computational Biology and Chemistry (2024) Vol. 110, pp. 108081-108081
Closed Access | Times Cited: 1
Advances in Zero‐Shot Prediction‐Guided Enzyme Engineering Using Machine Learning
Chang Liu, Junxian Wu, Yongbo Chen, et al.
ChemCatChem (2024)
Closed Access | Times Cited: 1
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