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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 26-50 of 61 citing articles:

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
N-GlycoGo: Predicting Protein N-Glycosylation Sites on Imbalanced Data Sets by Using Heterogeneous and Comprehensive Strategy
Ching-Hsuan Chien, Chi‐Chang Chang, Shih-Huan Lin, et al.
IEEE Access (2020) Vol. 8, pp. 165944-165950
Open Access | Times Cited: 14
Calmodulin Supports TRPA1 Channel Association with Opioid Receptors and Glutamate NMDA Receptors in the Nervous Tissue
Elsa Cortés‐Montero, María Rodríguez-Muñoz, M. Carmen Ruiz‐Cantero, et al.
International Journal of Molecular Sciences (2020) Vol. 22, Iss. 1, pp. 229-229
Open Access | Times Cited: 13
Computational Saturation Mutagenesis of SARS-CoV-1 Spike Glycoprotein: Stability, Binding Affinity, and Comparison With SARS-CoV-2
Adebiyi Sobitan, Vidhyanand Mahase, Raina Rhoades, et al.
Frontiers in Molecular Biosciences (2021) Vol. 8
Open Access | Times Cited: 11
A convolutional neural network based tool for predicting protein AMPylation sites from binary profile representation
Sayed Mehedi Azim, Alok Sharma, Iman Noshadi, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 8
O-GlyThr: Prediction of human O-linked threonine glycosites using multi-feature fusion
Hua Tang, Qiang Tang, Qian Zhang, et al.
International Journal of Biological Macromolecules (2023) Vol. 242, pp. 124761-124761
Closed Access | Times Cited: 4
Identification, characterization, and engineering of glycosylation in thrombolytics
Martin Toul, Veronika Slonkova, Jan Mičan, et al.
Biotechnology Advances (2023) Vol. 66, pp. 108174-108174
Closed Access | Times Cited: 4
Altered expression of Sialyl Lewis X in experimental models of Parkinson’s disease
Maria João Nunes, Andreia Neves Carvalho, Alexandra I. Rosa, et al.
Journal of Molecular Medicine (2024) Vol. 102, Iss. 3, pp. 365-377
Open Access | Times Cited: 1
N-GlycoPred: A hybrid deep learning model for accurate identification of N-glycosylation sites
Fengzhu Hu, Jie Gao, Jia Zheng, et al.
Methods (2024) Vol. 227, pp. 48-57
Closed Access | Times Cited: 1
Decoding glycosylation potential from protein structure across human glycoproteins with a multi-view recurrent neural network
Benjamin P. Kellman, Julien Mariethoz, Yujie Zhang, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
(Glycan Binding) Activity‐Based Protein Profiling in Cells Enabled by Mass Spectrometry‐Based Proteomics
Zak Vilen, Abigail E. Reeves, Mia L. Huang
Israel Journal of Chemistry (2023) Vol. 63, Iss. 3-4
Open Access | Times Cited: 3
Human O-linked Glycosylation Site Prediction Using Pretrained Protein Language Model
Subash Chandra Pakhrin, Neha Chauhan, Salman Khan, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 3
Insights into Bioinformatic Applications for Glycosylation: Instigating an Awakening towards Applying Glycoinformatic Resources for Cancer Diagnosis and Therapy
Manikandan Muthu, Se Chul Chun, Judy Gopal, et al.
International Journal of Molecular Sciences (2020) Vol. 21, Iss. 24, pp. 9336-9336
Open Access | Times Cited: 8
Characterization of M116.1p, a Murine Cytomegalovirus Protein Required for Efficient Infection of Mononuclear Phagocytes
Tina Ružić, Vanda Juranić Lisnić, Hana Mahmutefendić Lučin, et al.
Journal of Virology (2021) Vol. 96, Iss. 2
Open Access | Times Cited: 6
Deglycosylation Differentially Regulates Weaned Porcine Gut Alkaline Phosphatase Isoform Functionality along the Longitudinal Axis
Xindi Yin, Weijun Wang, Stephen Y. K. Seah, et al.
Pathogens (2023) Vol. 12, Iss. 3, pp. 407-407
Open Access | Times Cited: 2
Incorporating a transfer learning technique with amino acid embeddings to efficiently predict N-linked glycosylation sites in ion channels
Trinh‐Trung‐Duong Nguyen, Nguyen Quoc Khanh Le, The-Anh Tran, et al.
Computers in Biology and Medicine (2021) Vol. 130, pp. 104212-104212
Closed Access | Times Cited: 5
Integrating Five Feature Types Extracted From Ultrasonograms to Improve the Prediction of Thyroid Papillary Carcinoma
Renxiang Zhu, Zhongyu Wang, Yifan Zhang, et al.
IEEE Access (2019) Vol. 7, pp. 101820-101828
Open Access | Times Cited: 4
iProtGly-SS: A Tool to Accurately Predict Protein Glycation Site Using Structural-Based Features
Abdollah Dehzangi, Alok Sharma, Swakkhar Shatabda
Methods in molecular biology (2022), pp. 125-134
Closed Access | Times Cited: 3
Systems glycoengineering of therapeutic proteins
Christian Agatemor, Lisa Ha, Keerthana Muthiah, et al.
Elsevier eBooks (2024), pp. 363-377
Closed Access
Model Classification Using an Extreme Gradient Boosting Algorithm to Predict the Post-Translational Modification (PTM) Glycosylation in Sequence O
Sabyasachi Pramanik
Advances in healthcare information systems and administration book series (2024), pp. 161-173
Closed Access
Model Classification for Predicting the Post-Translational Modification (PTM) Glycosylation in Sequence O Using an Extreme Gradient Boosting Algorithm
Damayanti, Damayanti, Sutyarso, et al.
Journal of Computer Science (2024) Vol. 20, Iss. 7, pp. 758-767
Open Access
CoNglyPred: Accurate Prediction of N‐Linked Glycosylation Sites Using ESM‐2 and Structural Features With Graph Network and Co‐Attention
Hongmei Wang, Long Zhao, Ziyuan Yu, et al.
PROTEOMICS (2024)
Closed Access
Linear and neural network models for predicting N-glycosylation in Chinese Hamster Ovary cells based on B4GALT levels
Pedro Seber, Richard D. Braatz
Computers & Chemical Engineering (2024), pp. 108937-108937
Open Access
Protein Post-Translational Modifications
Shuchi Sharma
Elsevier eBooks (2024)
Closed Access

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