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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:

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: 15

Showing 15 citing articles:

Improving protein succinylation sites prediction using embeddings from protein language model
Suresh Pokharel, Pawel Pratyush, Michael Heinzinger, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 45
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
LMPhosSite: A Deep Learning-Based Approach for General Protein Phosphorylation Site Prediction Using Embeddings from the Local Window Sequence and Pretrained Protein Language Model
Subash C. Pakhrin, Suresh Pokharel, Pawel Pratyush, et al.
Journal of Proteome Research (2023) Vol. 22, Iss. 8, pp. 2548-2557
Closed Access | Times Cited: 20
pLMSNOSite: an ensemble-based approach for predicting protein S-nitrosylation sites by integrating supervised word embedding and embedding from pre-trained protein language model
Pawel Pratyush, Suresh Pokharel, Hiroto Saigo, et al.
BMC Bioinformatics (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 16
SumoPred-PLM: human SUMOylation and SUMO2/3 sites Prediction using Pre-trained Protein Language Model
Andrew Vargas Palacios, Pujan Acharya, Anthony S. Peidl, et al.
NAR Genomics and Bioinformatics (2024) Vol. 6, Iss. 1
Open Access | Times Cited: 5
Deep Learning Techniques Applied to Phosphorylation Site Prediction: A Systematic Review
Antônio Carlos da Silva Júnior, André Massahiro Shimaoka, Luciano Rodrigo Lopes, et al.
SN Computer Science (2025) Vol. 6, Iss. 4
Closed Access
Post‐translational modifications of proteins in cardiovascular diseases examined by proteomic approaches
Miroslava Št́astná
FEBS Journal (2024)
Open Access | Times Cited: 3
DeepDN_iGlu: prediction of lysine glutarylation sites based on attention residual learning method and DenseNet
Jianhua Jia, Mingwei Sun, Genqiang Wu, et al.
Mathematical Biosciences & Engineering (2022) Vol. 20, Iss. 2, pp. 2815-2830
Open Access | Times Cited: 12
Computational Methods for Predicting Post-Translational Modification Sites

Methods in molecular biology (2022)
Closed Access | Times Cited: 8
CaLMPhosKAN: Prediction of General Phosphorylation Sites in Proteins via Fusion of Codon-Aware Embeddings with Amino Acid-Aware Embeddings and Wavelet-based Kolmogorov–Arnold Network
Pawel Pratyush, C. Carrier, Suresh Pokharel, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Analysis of Structural Changes in the Protein near the Phosphorylation Site
Kirill S. Nikolsky, Liudmila I. Kulikova, Denis V. Petrovskiy, et al.
Biomolecules (2023) Vol. 13, Iss. 11, pp. 1564-1564
Open Access | Times Cited: 3
Advances in Prediction of Posttranslational Modification Sites Known to Localize in Protein Supersecondary Structures
Pawel Pratyush, Dukka B. KC
Methods in molecular biology (2024), pp. 117-151
Closed Access
LMPTMSite: A Platform for PTM Site Prediction in Proteins Leveraging Transformer-Based Protein Language Models
Pawel Pratyush, Suresh Pokharel, Hamid D. Ismail, et al.
Methods in molecular biology (2024), pp. 261-297
Closed Access
HumanO-linked Glycosylation Site Prediction Using Pretrained Protein Language Model
Subash C. Pakhrin, Neha Chauhan, Salman Khan, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 1
Mass Spectrometry-Based Techniques Towards OMICS 2.0
Ivan Šoša
(2022)
Open Access | Times Cited: 1
Mass Spectrometry-Based Techniques Towards OMICS 2.0
Ivan Šoša
(2023)
Open Access
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