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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:

CAID prediction portal: a comprehensive service for predicting intrinsic disorder and binding regions in proteins
Alessio Del Conte, Adel Bouhraoua, Mahta Mehdiabadi, et al.
Nucleic Acids Research (2023) Vol. 51, Iss. W1, pp. W62-W69
Open Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

DisProt in 2024: improving function annotation of intrinsically disordered proteins
Maria Cristina Aspromonte, María Victoria Nugnes, Federica Quaglia, et al.
Nucleic Acids Research (2023) Vol. 52, Iss. D1, pp. D434-D441
Open Access | Times Cited: 61
PED in 2024: improving the community deposition of structural ensembles for intrinsically disordered proteins
Hamidreza Ghafouri, Tamás Lázár, Alessio Del Conte, et al.
Nucleic Acids Research (2023) Vol. 52, Iss. D1, pp. D536-D544
Open Access | Times Cited: 29
DisoFLAG: accurate prediction of protein intrinsic disorder and its functions using graph-based interaction protein language model
Yihe Pang, Bin Liu
BMC Biology (2024) Vol. 22, Iss. 1
Open Access | Times Cited: 14
PERspectives on circadian cell biology
Andrei Mihut, John S. O’Neill, Carrie L. Partch, et al.
Philosophical Transactions of the Royal Society B Biological Sciences (2025) Vol. 380, Iss. 1918
Open Access | Times Cited: 1
Are protein language models the new universal key?
Konstantin Weißenow, Burkhard Rost
Current Opinion in Structural Biology (2025) Vol. 91, pp. 102997-102997
Open Access | Times Cited: 1
DR-BERT: A protein language model to annotate disordered regions
Ananthan Nambiar, John Malcolm Forsyth, Simon Liu, et al.
Structure (2024) Vol. 32, Iss. 8, pp. 1260-1268.e3
Open Access | Times Cited: 7
MOBIDB in 2025: integrating ensemble properties and function annotations for intrinsically disordered proteins
Damiano Piovesan, Alessio Del Conte, Mahta Mehdiabadi, et al.
Nucleic Acids Research (2024) Vol. 53, Iss. D1, pp. D495-D503
Open Access | Times Cited: 6
DisPredict3.0: Prediction of intrinsically disordered regions/proteins using protein language model
Md Wasi Ul Kabir, Md Tamjidul Hoque
Applied Mathematics and Computation (2024) Vol. 472, pp. 128630-128630
Closed Access | Times Cited: 5
Phase transition of GvpU regulates gas vesicle clustering in bacteria
Zongru Li, Qionghua Shen, Emery T. Usher, et al.
Nature Microbiology (2024) Vol. 9, Iss. 4, pp. 1021-1035
Closed Access | Times Cited: 5
Two decades of advances in sequence-based prediction of MoRFs, disorder-to-order transitioning binding regions
Jiangning Song, Lukasz Kurgan
Expert Review of Proteomics (2025)
Closed Access
Predicting molecular recognition features in protein sequences with MoRFchibi 2.0
Nawar Malhis, Jörg Gsponer
bioRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access
PredIDR2: Improving accuracy of protein intrinsic disorder prediction by updating deep convolutional neural network and supplementing DisProt data
Kun-Sop Han, Ha-Kyong Kim, Mi-Jung Kim, et al.
International Journal of Biological Macromolecules (2025) Vol. 306, pp. 141801-141801
Closed Access
bindNode24: Competitive binding residue prediction with 60% smaller model
Kyra Erckert, Franz Birkeneder, Burkhard Rost
Computational and Structural Biotechnology Journal (2025) Vol. 27, pp. 1060-1066
Open Access
The Landscape of Osteocalcin Proteoforms Reveals Distinct Structural and Functional Roles of Its Carboxylation Sites
Diletta Ami, Carlo Santambrogio, Jacopo Vertemara, et al.
Journal of the American Chemical Society (2024)
Closed Access | Times Cited: 3
Deep learning for intrinsically disordered proteins: From improved predictions to deciphering conformational ensembles
Gábor Erdős, Zsuzsanna Dosztányi
Current Opinion in Structural Biology (2024) Vol. 89, pp. 102950-102950
Open Access | Times Cited: 3
Artificial Intelligence Learns Protein Prediction
Michael Heinzinger, Burkhard Rost
Cold Spring Harbor Perspectives in Biology (2024) Vol. 16, Iss. 9, pp. a041458-a041458
Closed Access | Times Cited: 2
Computational Prediction of Linear Interacting Peptides
Nawar Malhis, Jörg Gsponer
Methods in molecular biology (2024), pp. 233-245
Closed Access | Times Cited: 2
The Origin of Discrepancies between Predictions and Annotations in Intrinsically Disordered Proteins
Mátyás Pajkos, Gábor Erdős, Zsuzsanna Dosztányi
Biomolecules (2023) Vol. 13, Iss. 10, pp. 1442-1442
Open Access | Times Cited: 6
MolEvolvR: A web-app for characterizing proteins using molecular evolution and phylogeny
Jacob D Krol, Joseph Burke, Samuel Zorn Chen, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 8
Protein intrinsically disordered region prediction by combining neural architecture search and multi-objective genetic algorithm
Yi-Jun Tang, Ke Yan, Xingyi Zhang, et al.
BMC Biology (2023) Vol. 21, Iss. 1
Open Access | Times Cited: 4
Assessment of Disordered Linker Predictions in the CAID2 Experiment
Kui Wang, Gang Hu, Zhonghua Wu, et al.
Biomolecules (2024) Vol. 14, Iss. 3, pp. 287-287
Open Access | Times Cited: 1
Assessing the role of evolutionary information for enhancing protein language model embeddings
Kyra Erckert, Burkhard Rost
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
PredIDR: Accurate prediction of protein intrinsic disorder regions using deep convolutional neural network
Kun-Sop Han, Shaoxu Song, Man-Ghyu Pak, et al.
International Journal of Biological Macromolecules (2024), pp. 137665-137665
Closed Access | Times Cited: 1
Probabilistic Annotations of Protein Sequences for Intrinsically Disordered Features
Nawar Malhis
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
In Silico Structural Analysis Exploring Conformational Folding of Protein Variants in Alzheimer’s Disease
Evangelos Efraimidis, Marios G. Krokidis, Themis P. Exarchos, et al.
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 17, pp. 13543-13543
Open Access | Times Cited: 2
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