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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:

GlyStruct: glycation prediction using structural properties of amino acid residues
Hamendra Manhar Reddy, Alok Sharma, Abdollah Dehzangi, et al.
BMC Bioinformatics (2019) Vol. 19, Iss. S13
Open Access | Times Cited: 39

Showing 1-25 of 39 citing articles:

Incorporating convolutional neural networks and sequence graph transform for identifying multilabel protein Lysine PTM sites
Jo Nie Sua, Si Yi Lim, Mulyadi Halim Yulius, et al.
Chemometrics and Intelligent Laboratory Systems (2020) Vol. 206, pp. 104171-104171
Closed Access | Times Cited: 43
Machine Learning Enables Accurate Prediction of Asparagine Deamidation Probability and Rate
Jared A. Delmar, Jihong Wang, Seo Woo Choi, et al.
Molecular Therapy — Methods & Clinical Development (2019) Vol. 15, pp. 264-274
Open Access | Times Cited: 41
BERT-Kgly: A Bidirectional Encoder Representations From Transformers (BERT)-Based Model for Predicting Lysine Glycation Site for Homo sapiens
Yinbo Liu, Yufeng Liu, Gang-Ao Wang, et al.
Frontiers in Bioinformatics (2022) Vol. 2
Open Access | Times Cited: 15
RF-MaloSite and DL-Malosite: Methods based on random forest and deep learning to identify malonylation sites
Hussam J. AL-barakati, Niraj Thapa, Hiroto Saigo, et al.
Computational and Structural Biotechnology Journal (2020) Vol. 18, pp. 852-860
Open Access | Times Cited: 21
Stability of Protein Pharmaceuticals: Recent Advances
Mark C. Manning, Ryan E. Holcomb, R. W. Payne, et al.
Pharmaceutical Research (2024) Vol. 41, Iss. 7, pp. 1301-1367
Closed Access | Times Cited: 2
Posttranslational modifications in systems biology
Suruchi Aggarwal, Priya Tolani, Srishti Gupta, et al.
Advances in protein chemistry and structural biology (2021), pp. 93-126
Closed Access | Times Cited: 17
SEMal: Accurate protein malonylation site predictor using structural and evolutionary information
Shubhashis Roy Dipta, Ghazaleh Taherzadeh, Md. Wakil Ahmad, et al.
Computers in Biology and Medicine (2020) Vol. 125, pp. 104022-104022
Closed Access | Times Cited: 17
SUMO-Forest: A Cascade Forest based method for the prediction of SUMOylation sites on imbalanced data
Ying Qian, Shasha Ye, Yu Zhang, et al.
Gene (2020) Vol. 741, pp. 144536-144536
Closed Access | Times Cited: 15
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
C-iSUMO: A sumoylation site predictor that incorporates intrinsic characteristics of amino acid sequences
Yosvany López, Abdollah Dehzangi, Hamendra Manhar Reddy, et al.
Computational Biology and Chemistry (2020) Vol. 87, pp. 107235-107235
Closed Access | Times Cited: 14
MDC-Kace: A Model for Predicting Lysine Acetylation Sites Based on Modular Densely Connected Convolutional Networks
Huiqing Wang, Zhiliang Yan, Dan Liu, et al.
IEEE Access (2020) Vol. 8, pp. 214469-214480
Open Access | Times Cited: 14
An Evolutionary Remedy for an Abominable Physiological Mystery: Benign Hyperglycemia in Birds
Carlos Martínez del Rio, Yocelyn T. Gutiérrez‐Guerrero
Journal of Molecular Evolution (2020) Vol. 88, Iss. 10, pp. 715-719
Closed Access | Times Cited: 13
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
SSKM_Succ: A Novel Succinylation Sites Prediction Method Incorporating K-Means Clustering With a New Semi-Supervised Learning Algorithm
Ning Qiao, Zhiqiang Ma, Xiaowei Zhao, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2020) Vol. 19, Iss. 1, pp. 643-652
Closed Access | Times Cited: 12
The language of posttranslational modifications and deciphering it from proteomics data
Suruchi Aggarwal, Payal Gupta, Uma Dhawan, et al.
Elsevier eBooks (2023), pp. 109-136
Closed Access | Times Cited: 4
A Mechanism of Action of Metformin in the Brain: Prevention of Methylglyoxal-Induced Glutamatergic Impairment in Acute Hippocampal Slices
Adriana Fernanda K. Vizuete, Fernanda Fróes, Marina Seady, et al.
Molecular Neurobiology (2023) Vol. 61, Iss. 6, pp. 3223-3239
Closed Access | Times Cited: 4
DeepPTM: Protein Post-translational Modification Prediction from Protein Sequences by Combining Deep Protein Language Model with Vision Transformers
Necla Nisa Soylu, Emre Sefer
Current Bioinformatics (2024) Vol. 19, Iss. 9, pp. 810-824
Closed Access | Times Cited: 1
predPhogly-Site: Predicting phosphoglycerylation sites by incorporating probabilistic sequence-coupling information into PseAAC and addressing data imbalance
Sabit Ahmed, Afrida Rahman, Md. Al Mehedi Hasan, et al.
PLoS ONE (2021) Vol. 16, Iss. 4, pp. e0249396-e0249396
Open Access | Times Cited: 10
Gly-LysPred: Identification of Lysine Glycation Sites in Protein Using Position Relative Features and Statistical Moments Via Chou’s 5 Step Rule
Shaheena Khanum, Muhammad Adeel Ashraf, Asim Karim, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2020) Vol. 66, Iss. 2, pp. 2165-2181
Open Access | Times Cited: 10
RAM-PGK: Prediction of Lysine Phosphoglycerylation Based on Residue Adjacency Matrix
Abel Chandra, Alok Sharma, Abdollah Dehzangi, et al.
Genes (2020) Vol. 11, Iss. 12, pp. 1524-1524
Open Access | Times Cited: 9
A systematic review of recent trends in research on therapeutically significant l-asparaginase and acute lymphoblastic leukemia
Susan Aishwarya Suresh, Selvarajan Ethiraj, Rajnish Narayanan
Molecular Biology Reports (2022) Vol. 49, Iss. 12, pp. 11281-11287
Closed Access | Times Cited: 6
Accurately predicting nitrosylated tyrosine sites using probabilistic sequence information
Afrida Rahman, Sabit Ahmed, Md. Al Mehedi Hasan, et al.
Gene (2022) Vol. 826, pp. 146445-146445
Closed Access | Times Cited: 5
Accurately predicting microbial phosphorylation sites using evolutionary and structural features
Faisal Ahmed, Abdollah Dehzangi, Md Mehedi Hasan, et al.
Gene (2022) Vol. 851, pp. 146993-146993
Closed Access | Times Cited: 5
Protein Glycation: An Old Villain is Shedding Secrets
Gerald H. Lushington, Anthony Barnes
Combinatorial Chemistry & High Throughput Screening (2019) Vol. 22, Iss. 6, pp. 362-369
Closed Access | Times Cited: 7
PupStruct: Prediction of Pupylated Lysine Residues Using Structural Properties of Amino Acids
Vineet Singh, Alok Sharma, Abdollah Dehzangi, et al.
Genes (2020) Vol. 11, Iss. 12, pp. 1431-1431
Open Access | Times Cited: 7
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