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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:

GlyNet: a multi-task neural network for predicting protein–glycan interactions
Eric Carpenter, Shaurya Seth, Noel Yue, et al.
Chemical Science (2022) Vol. 13, Iss. 22, pp. 6669-6686
Open Access | Times Cited: 13

Showing 13 citing articles:

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
Modular Synthesis of a Tridecasaccharide Motif of Bacteroides vulgatus Lipopolysaccharides against Inflammatory Bowel Diseases through an Orthogonal One‐Pot Glycosylation Strategy
Yunqin Zhang, Leilei Wang, Qingli Zhou, et al.
Angewandte Chemie International Edition (2023) Vol. 62, Iss. 22
Closed Access | Times Cited: 14
The Proteome as a Lectome: Predictions from Deep Learning Propose Substantial Protein-Carbohydrate Interplay
Samuel W. Canner, Ronald L. Schnaar, Jeffrey J. Gray
bioRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access
Structure-based neural network protein–carbohydrate interaction predictions at the residue level
Samuel W. Canner, Sudhanshu Shanker, Jeffrey J. Gray
Frontiers in Bioinformatics (2023) Vol. 3
Open Access | Times Cited: 12
Tools for Structural Lectinomics: From Structures to Lectomes
Frédérique Lisacek, Boris Schnider, Anne Imberty
BBA Advances (2025), pp. 100154-100154
Open Access
Integration of RNAseq transcriptomics and N-glycomics reveal biosynthetic pathways and predict structure-specific N-glycan expression
Michael Russelle Alvarez, Xavier A. Holmes, Armin Oloumi, et al.
Chemical Science (2025)
Open Access
Computational toolbox for the analysis of protein–glycan interactions
Ferran Nieto-Fabregat, María Pia Lenza, Angela Marseglia, et al.
Beilstein Journal of Organic Chemistry (2024) Vol. 20, pp. 2084-2107
Open Access | Times Cited: 3
HumanLectome, an update of UniLectin for the annotation and prediction of human lectins
Boris Schnider, Yacine M’Rad, Jalaa el Ahmadie, et al.
Nucleic Acids Research (2023) Vol. 52, Iss. D1, pp. D1683-D1693
Open Access | Times Cited: 8
LeGenD: determining N-glycoprofiles using an explainable AI-leveraged model with lectin profiling
Haining Li, Angelo G. Peralta, Sanne Schoffelen, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
An analytical study on the identification of N-linked glycosylation sites using machine learning model
Muhammad Aizaz Akmal, Muhammad Awais, Shoaib Muhammad, et al.
PeerJ Computer Science (2022) Vol. 8, pp. e1069-e1069
Open Access | Times Cited: 2
Modular Synthesis of a Tridecasaccharide Motif of Bacteroides vulgatus Lipopolysaccharides against Inflammatory Bowel Diseases through an Orthogonal One‐Pot Glycosylation Strategy
Yunqin Zhang, Leilei Wang, Qingli Zhou, et al.
Angewandte Chemie (2023) Vol. 135, Iss. 22
Closed Access
Structure-Based Neural Network Protein-Carbohydrate Interaction Predictions at the Residue Level
Samuel W. Canner, Sudhanshu Shanker, Jeffrey J. Gray
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
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