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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:

SPRINT-Gly: predicting N- and O-linked glycosylation sites of human and mouse proteins by using sequence and predicted structural properties
Ghazaleh Taherzadeh, Abdollah Dehzangi, Maryam Golchin, et al.
Bioinformatics (2019) Vol. 35, Iss. 20, pp. 4140-4146
Closed Access | Times Cited: 61

Showing 1-25 of 61 citing articles:

Deep Learning in Proteomics
Bo Wen, Wen‐Feng Zeng, Yuxing Liao, et al.
PROTEOMICS (2020) Vol. 20, Iss. 21-22
Open Access | Times Cited: 128
Current Methods for the Characterization of O-Glycans
Hayden Wilkinson, Radka Saldova
Journal of Proteome Research (2020) Vol. 19, Iss. 10, pp. 3890-3905
Open Access | Times Cited: 99
Recent advances in glycoinformatic platforms for glycomics and glycoproteomics
Jodie L. Abrahams, Ghazaleh Taherzadeh, Gábor Járvás, et al.
Current Opinion in Structural Biology (2019) Vol. 62, pp. 56-69
Closed Access | Times Cited: 88
Glycoinformatics in the Artificial Intelligence Era
Daniel Bojar, Frédérique Lisacek
Chemical Reviews (2022) Vol. 122, Iss. 20, pp. 15971-15988
Open Access | Times Cited: 48
LMNglyPred: prediction of human N-linked glycosylation sites using embeddings from a pre-trained protein language model
Subash C. Pakhrin, Suresh Pokharel, Kiyoko F. Aoki‐Kinoshita, et al.
Glycobiology (2023) Vol. 33, Iss. 5, pp. 411-422
Closed Access | Times Cited: 23
Combining machine learning with structure-based protein design to predict and engineer post-translational modifications of proteins
Moritz Ertelt, Vikram Khipple Mulligan, Jack B. Maguire, et al.
PLoS Computational Biology (2024) Vol. 20, Iss. 3, pp. e1011939-e1011939
Open Access | Times Cited: 11
DOGpred: A Novel Deep Learning Framework for Accurate Identification of Human O-linked Threonine Glycosylation Sites
Ki Wook Lee, Nhat Truong Pham, Hye Jung Min, et al.
Journal of Molecular Biology (2025), pp. 168977-168977
Closed Access | Times Cited: 1
N-GlyDE: a two-stage N-linked glycosylation site prediction incorporating gapped dipeptides and pattern-based encoding
Thejkiran Pitti, Ching-Tai Chen, Hsin-Nan Lin, et al.
Scientific Reports (2019) Vol. 9, Iss. 1
Open Access | Times Cited: 64
Exploring the potential of machine learning for more efficient development and production of biopharmaceuticals
Amita Puranik, Prajakta Dandekar, Ratnesh Jain
Biotechnology Progress (2022) Vol. 38, Iss. 6
Closed Access | Times Cited: 32
Artificial intelligence in the analysis of glycosylation data
Haining Li, Austin W.T. Chiang, Nathan E. Lewis
Biotechnology Advances (2022) Vol. 60, pp. 108008-108008
Open Access | Times Cited: 24
A mechanism of gene evolution generating mucin function
Petar Pajic, Shichen Shen, Jun Qu, et al.
Science Advances (2022) Vol. 8, Iss. 34
Open Access | Times Cited: 23
EMNGly: predicting N-linked glycosylation sites using the language models for feature extraction
Xiaoyang Hou, Yu Wang, Dongbo Bu, et al.
Bioinformatics (2023) Vol. 39, Iss. 11
Open Access | Times Cited: 14
HOTGpred: Enhancing human O-linked threonine glycosylation prediction using integrated pretrained protein language model-based features and multi-stage feature selection approach
Nhat Truong Pham, Ying Zhang, Rajan Rakkiyappan, et al.
Computers in Biology and Medicine (2024) Vol. 179, pp. 108859-108859
Closed Access | Times Cited: 5
Insights on post-translational modifications in fatty liver and fibrosis progression
C. Nageswara Raju, Kavitha Sankaranarayanan
Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease (2025) Vol. 1871, Iss. 3, pp. 167659-167659
Closed Access
DeepNGlyPred: A Deep Neural Network-Based Approach for Human N-Linked Glycosylation Site Prediction
Subash C. Pakhrin, Kiyoko F. Aoki‐Kinoshita, Doina Caragea, et al.
Molecules (2021) Vol. 26, Iss. 23, pp. 7314-7314
Open Access | Times Cited: 28
Immunoglobulin G N-glycan Biomarkers for Autoimmune Diseases: Current State and a Glycoinformatics Perspective
Konstantinos Flevaris, Cleo Kontoravdi
International Journal of Molecular Sciences (2022) Vol. 23, Iss. 9, pp. 5180-5180
Open Access | Times Cited: 20
Thirty years of molecular dynamics simulations on posttranslational modifications of proteins
Austin T. Weigle, Jiangyan Feng, Diwakar Shukla
Physical Chemistry Chemical Physics (2022) Vol. 24, Iss. 43, pp. 26371-26397
Open Access | Times Cited: 17
Deep Learning–Based Advances In Protein Posttranslational Modification Site and Protein Cleavage Prediction
Subash C. Pakhrin, Suresh Pokharel, Hiroto Saigo, et al.
Methods in molecular biology (2022), pp. 285-322
Closed Access | Times Cited: 16
Bioinformatics and computational analyses of kidney stone modulatory proteins lead to solid experimental evidence and therapeutic potential
Sunisa Yoodee, Visith Thongboonkerd
Biomedicine & Pharmacotherapy (2023) Vol. 159, pp. 114217-114217
Open Access | Times Cited: 9
Modeling coronavirus spike protein dynamics: implications for immunogenicity and immune escape
Genevieve Kunkel, Mohammad Madani, Simon J. White, et al.
Biophysical Journal (2021) Vol. 120, Iss. 24, pp. 5592-5618
Open Access | Times Cited: 21
PUStackNGly: Positive-Unlabeled and Stacking Learning for N-Linked Glycosylation Site Prediction
Alhasan Alkuhlani, Walaa Gad, Mohamed Roushdy, et al.
IEEE Access (2022) Vol. 10, pp. 12702-12713
Open Access | Times Cited: 15
The current structural glycome landscape and emerging technologies
Liviu Copoiu, Sony Malhotra
Current Opinion in Structural Biology (2020) Vol. 62, pp. 132-139
Open Access | Times Cited: 18
Food glycomics in food science: recent advances and future perspectives
Wei Tang, Dan Liu, Shaoping Nie
Current Opinion in Food Science (2022) Vol. 46, pp. 100850-100850
Closed Access | Times Cited: 11
Protein Science Meets Artificial Intelligence: A Systematic Review and a Biochemical Meta-Analysis of an Inter-Field
Jalil Villalobos-Alva, Luis Ochoa-Toledo, Mario Javier Villalobos-Alva, et al.
Frontiers in Bioengineering and Biotechnology (2022) Vol. 10
Open Access | Times Cited: 9
PTG-PLM: Predicting Post-Translational Glycosylation and Glycation Sites Using Protein Language Models and Deep Learning
Alhasan Alkuhlani, Walaa Gad, Mohamed Roushdy, et al.
Axioms (2022) Vol. 11, Iss. 9, pp. 469-469
Open Access | Times Cited: 9
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