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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:

Critical assessment of methods of protein structure prediction (CASP)—Round XV
Andriy Kryshtafovych, Torsten Schwede, Maya Topf, et al.
Proteins Structure Function and Bioinformatics (2023) Vol. 91, Iss. 12, pp. 1539-1549
Open Access | Times Cited: 49

Showing 1-25 of 49 citing articles:

New prediction categories in CASP15
Andriy Kryshtafovych, Maciej Antczak, Marta Szachniuk, et al.
Proteins Structure Function and Bioinformatics (2023) Vol. 91, Iss. 12, pp. 1550-1557
Open Access | Times Cited: 46
PUNCH2: Explore the strategy for intrinsically disordered protein predictor
Di Meng, Gianluca Pollastri
PLoS ONE (2025) Vol. 20, Iss. 3, pp. e0319208-e0319208
Open Access | Times Cited: 2
Tertiary structure assessment at CASP15
Adam J. Simpkin, Shahram Mesdaghi, Filomeno Sánchez Rodríguez, et al.
Proteins Structure Function and Bioinformatics (2023) Vol. 91, Iss. 12, pp. 1616-1635
Open Access | Times Cited: 30
Protein target highlights in CASP15: Analysis of models by structure providers
Leila T. Alexander, Janani Durairaj, Andriy Kryshtafovych, et al.
Proteins Structure Function and Bioinformatics (2023) Vol. 91, Iss. 12, pp. 1571-1599
Open Access | Times Cited: 24
CAPRI-Q: The CAPRI resource evaluating the quality of predicted structures of protein complexes
Keeley W. Collins, Matthew M. Copeland, Guillaume Brysbaert, et al.
Journal of Molecular Biology (2024) Vol. 436, Iss. 17, pp. 168540-168540
Open Access | Times Cited: 12
RNA3DB: A structurally-dissimilar dataset split for training and benchmarking deep learning models for RNA structure prediction
Marcell Szikszai, Marcin Magnus, Siddhant Sanghi, et al.
Journal of Molecular Biology (2024) Vol. 436, Iss. 17, pp. 168552-168552
Open Access | Times Cited: 10
RCSB Protein Data Bank: supporting research and education worldwide through explorations of experimentally determined and computationally predicted atomic level 3D biostructures
S.K. Burley, Dennis W. Piehl, Brinda Vallat, et al.
IUCrJ (2024) Vol. 11, Iss. 3, pp. 279-286
Open Access | Times Cited: 9
MassiveFold: unveiling AlphaFold’s hidden potential with optimized and parallelized massive sampling
Nessim Raouraoua, Claudio Mirabello, Thibaut Véry, et al.
Nature Computational Science (2024) Vol. 4, Iss. 11, pp. 824-828
Open Access | Times Cited: 9
DesiRNA: structure-based design of RNA sequences with a replica exchange Monte Carlo approach
Tomasz Wirecki, Grzegorz Łach, Nagendar Goud Badepally, et al.
Nucleic Acids Research (2025) Vol. 53, Iss. 2
Open Access | Times Cited: 1
Structure-guided drug discovery: back to the future
C.H. Arrowsmith
Nature Structural & Molecular Biology (2024) Vol. 31, Iss. 3, pp. 395-396
Closed Access | Times Cited: 7
Improved protein complex prediction with AlphaFold-multimer by denoising the MSA profile
Patrick Bryant, Frank Noé
PLoS Computational Biology (2024) Vol. 20, Iss. 7, pp. e1012253-e1012253
Open Access | Times Cited: 7
Alpha&ESMhFolds: A Web Server for Comparing AlphaFold2 and ESMFold Models of the Human Reference Proteome
Matteo Manfredi, Castrense Savojardo, Georgii Iardukhin, et al.
Journal of Molecular Biology (2024) Vol. 436, Iss. 17, pp. 168593-168593
Open Access | Times Cited: 6
PPI3D: a web server for searching, analyzing and modeling protein–protein, protein–peptide and protein–nucleic acid interactions
Justas Dapkūnas, Albertas Timinskas, Kliment Olechnovič, et al.
Nucleic Acids Research (2024) Vol. 52, Iss. W1, pp. W264-W271
Open Access | Times Cited: 5
Post-processing enhances protein secondary structure prediction with second order deep learning and embeddings
Sotiris Chatzimiltis, Michalis Agathocleous, Vasilis J. Promponas, et al.
Computational and Structural Biotechnology Journal (2025) Vol. 27, pp. 243-251
Open Access
AlphaFold2 and ESMFold: a large-scale pairwise model comparison of human enzymes upon Pfam functional annotation
Matteo Manfredi, Gabriele Vazzana, Castrense Savojardo, et al.
Computational and Structural Biotechnology Journal (2025) Vol. 27, pp. 461-466
Open Access
Physical-aware model accuracy estimation for protein complex using deep learning method
Haodong Wang, Meng Sun, Lei Xie, et al.
Computational and Structural Biotechnology Journal (2025)
Open Access
The integration of artificial intelligence and protein science: the protein structure prediction and protein design revolution behind the 2024 Nobel Prize in chemistry
Shenhui Liu, Zhi‐Jie Liu
Chinese Science Bulletin (Chinese Version) (2025)
Closed Access
RNA3DB: A structurally-dissimilar dataset split for training and benchmarking deep learning models for RNA structure prediction
Marcell Szikszai, Marcin Magnus, Siddhant Sanghi, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 4
Apprehensions and emerging solutions in ML-based protein structure prediction
Käthe M. Dahlström, Tiina A. Salminen
Current Opinion in Structural Biology (2024) Vol. 86, pp. 102819-102819
Open Access | Times Cited: 4
Calibration of additional computational tools expands ClinGen recommendation options for variant classification with PP3/BP4 criteria
Timothy Bergquist, Sarah L. Stenton, Emily A.W. Nadeau, et al.
(2024)
Open Access | Times Cited: 4
A call for an industry-led initiative to critically assess machine learning for real-world drug discovery
Cas Wognum, Jeremy R. Ash, Matteo Aldeghi, et al.
Nature Machine Intelligence (2024)
Closed Access | Times Cited: 4
Ensemble deep learning model for protein secondary structure prediction using NLP metrics and explainable AI
Uvarani Vignesh, R. Parvathi, Keerthi Ram
Results in Engineering (2024), pp. 103435-103435
Open Access | Times Cited: 4
FTDMP: A Framework for Protein–Protein, Protein–DNA, and Protein–RNA Docking and Scoring
Kliment Olechnovič, Rita Banciul, Justas Dapkūnas, et al.
Proteins Structure Function and Bioinformatics (2025)
Closed Access
Massive Sampling Strategy for Antibody–Antigen Targets in CAPRI Round 55 With MassiveFold
Nessim Raouraoua, Marc F. Lensink, Guillaume Brysbaert
Proteins Structure Function and Bioinformatics (2025)
Open Access
Machine Learning-based Host–Pathogen Protein–Protein Interaction Prediction
Erdem Türk, Onur Can Karabulut, Al-shaima Khaled Abdullah Al-alie, et al.
Current Clinical Microbiology Reports (2025) Vol. 12, Iss. 1
Closed Access
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