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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:

Resources for computational prediction of intrinsic disorder in proteins
Lukasz Kurgan
Methods (2022) Vol. 204, pp. 132-141
Open Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

Intrinsically Disordered Proteins: An Overview
Rakesh Trivedi, Hampapathalu Adimurthy Nagarajaram
International Journal of Molecular Sciences (2022) Vol. 23, Iss. 22, pp. 14050-14050
Open Access | Times Cited: 102
Computational prediction of disordered binding regions
Sushmita Basu, Daisuke Kihara, Lukasz Kurgan
Computational and Structural Biotechnology Journal (2023) Vol. 21, pp. 1487-1497
Open Access | Times Cited: 25
Reprograming of the ubiquitin ligase Ubr1 by intrinsically disordered Roq1 through cooperating multifunctional motifs
Niklas Peters, Sibylle Kanngießer, Oliver Pajonk, et al.
The EMBO Journal (2025)
Open Access | Times Cited: 1
Tutorial: a guide for the selection of fast and accurate computational tools for the prediction of intrinsic disorder in proteins
Lukasz Kurgan, Gang Hu, Kui Wang, et al.
Nature Protocols (2023) Vol. 18, Iss. 11, pp. 3157-3172
Closed Access | Times Cited: 21
Comparative evaluation of AlphaFold2 and disorder predictors for prediction of intrinsic disorder, disorder content and fully disordered proteins
Bi Zhao, Sina Ghadermarzi, Lukasz Kurgan
Computational and Structural Biotechnology Journal (2023) Vol. 21, pp. 3248-3258
Open Access | Times Cited: 20
Compositional Bias of Intrinsically Disordered Proteins and Regions and Their Predictions
Bi Zhao, Lukasz Kurgan
Biomolecules (2022) Vol. 12, Iss. 7, pp. 888-888
Open Access | Times Cited: 23
HybridRNAbind: prediction of RNA interacting residues across structure-annotated and disorder-annotated proteins
Fuhao Zhang, Min Li, Jian Zhang, et al.
Nucleic Acids Research (2023) Vol. 51, Iss. 5, pp. e25-e25
Open Access | Times Cited: 14
AlphaFold2 modeling and molecular dynamics simulations of an intrinsically disordered protein
Hao‐Bo Guo, Baxter Huntington, Alexander Perminov, et al.
PLoS ONE (2024) Vol. 19, Iss. 5, pp. e0301866-e0301866
Open Access | Times Cited: 5
Decoding intrinsically disordered regions in biomolecular condensates
Minglei Shi, Zhongchao Wu, Yi Zhang, et al.
Fundamental Research (2025)
Open Access
Best Practices of Using AI-Based Models in Crystallography and Their Impact in Structural Biology
Marc Graille, Sophie Sacquin‐Mora, Antoine Taly
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 12, pp. 3637-3646
Open Access | Times Cited: 6
CoMemMoRFPred: Sequence-based Prediction of MemMoRFs by Combining Predictors of Intrinsic Disorder, MoRFs and Disordered Lipid-binding Regions
Sushmita Basu, Tamás Hegedűs, Lukasz Kurgan
Journal of Molecular Biology (2023) Vol. 435, Iss. 21, pp. 168272-168272
Closed Access | Times Cited: 6
Availability of web servers significantly boosts citations rates of bioinformatics methods for protein function and disorder prediction
Jiangning Song, Lukasz Kurgan
Bioinformatics Advances (2023) Vol. 3, Iss. 1
Open Access | Times Cited: 5
Intrinsic disorder and flexibility in proteins: a challenge for structural biology and drug design
Giuseppe Zanotti
Crystallography Reviews (2023) Vol. 29, Iss. 2, pp. 48-75
Closed 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
Taxonomy-specific assessment of intrinsic disorder predictions at residue and region levels in higher eukaryotes, protists, archaea, bacteria and viruses
Sushmita Basu, Lukasz Kurgan
Computational and Structural Biotechnology Journal (2024) Vol. 23, pp. 1968-1977
Open Access | Times Cited: 1
Targeting Intrinsically Disordered Proteins (IDPs) in Drug Discovery
Sridhar Vemulapalli
(2024), pp. 493-517
Closed Access | Times Cited: 1
A simple method to purify intrinsically disordered proteins by adjusting trichloroacetic acid concentration
Sofía P. Romero-Pérez, Alejandra A. Covarrubias, Francisco Campos
Protein Expression and Purification (2022) Vol. 202, pp. 106183-106183
Closed Access | Times Cited: 5
Overview Update: Computational Prediction of Intrinsic Disorder in Proteins
Vladimir N. Uversky, Lukasz Kurgan
Current Protocols (2023) Vol. 3, Iss. 6
Closed Access | Times Cited: 2
Methodological approaches to studying phase separation and HIV-1 replication: Current and future perspectives
Andrew J. Mouland, Bao-An Chau, Vladimir N. Uversky
Methods (2024) Vol. 229, pp. 147-155
Closed Access
Reprograming of the ubiquitin ligase Ubr1 by intrinsically disordered Roq1 through cooperating multifunctional motifs
Niklas Peters, Sibylle Kanngießer, Oliver Pajonk, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Prediction of Disordered Linkers Using APOD
Zhenling Peng, Haiyan Wu, Yue Luo, et al.
Methods in molecular biology (2024), pp. 219-231
Closed Access
Accurate and Fast Prediction of Intrinsic Disorder Using flDPnn
Kui Wang, Gang Hu, Zhonghua Wu, et al.
Methods in molecular biology (2024), pp. 201-218
Closed Access
DescribePROT Database of Residue-Level Protein Structure and Function Annotations
Bi Zhao, Sushmita Basu, Lukasz Kurgan
Methods in molecular biology (2024), pp. 169-184
Closed Access
AlphaFold2 modeling and molecular dynamics simulations of an intrinsically disordered protein
Hao‐Bo Guo, Baxter Huntington, Alexander Perminov, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 1
Complementarity of the residue-level protein function and structure predictions in human proteins
Bálint Biró, Bi Zhao, Lukasz Kurgan
Computational and Structural Biotechnology Journal (2022) Vol. 20, pp. 2223-2234
Open Access | Times Cited: 2
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