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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:

PTM-ssMP: A Web Server for Predicting Different Types of Post-translational Modification Sites Using Novel Site-specific Modification Profile
Yu Liu, Minghui Wang, Jianing Xi, et al.
International Journal of Biological Sciences (2018) Vol. 14, Iss. 8, pp. 946-956
Open Access | Times Cited: 54

Showing 1-25 of 54 citing articles:

Post-translational modifications in proteins: resources, tools and prediction methods
Shahin Ramazi, Javad Zahiri
Database (2021) Vol. 2021
Open Access | Times Cited: 532
MusiteDeep: a deep-learning based webserver for protein post-translational modification site prediction and visualization
Duolin Wang, Dongpeng Liu, Jiakang Yuchi, et al.
Nucleic Acids Research (2020) Vol. 48, Iss. W1, pp. W140-W146
Open Access | Times Cited: 204
DeepPhos: prediction of protein phosphorylation sites with deep learning
Fenglin Luo, Minghui Wang, Yu Liu, et al.
Bioinformatics (2018) Vol. 35, Iss. 16, pp. 2766-2773
Open Access | Times Cited: 166
m5U-SVM: identification of RNA 5-methyluridine modification sites based on multi-view features of physicochemical features and distributed representation
Chunyan Ao, Xiucai Ye, Tetsuya Sakurai, et al.
BMC Biology (2023) Vol. 21, Iss. 1
Open Access | Times Cited: 52
Integration of A Deep Learning Classifier with A Random Forest Approach for Predicting Malonylation Sites
Zhen Chen, Ningning He, Yu Huang, et al.
Genomics Proteomics & Bioinformatics (2018) Vol. 16, Iss. 6, pp. 451-459
Open Access | Times Cited: 90
Deep learning in structural bioinformatics: current applications and future perspectives
Niranjan Kumar, Rakesh Srivastava
Briefings in Bioinformatics (2024) Vol. 25, Iss. 3
Open Access | Times Cited: 13
Truncated human angiotensin converting enzyme 2; a potential inhibitor of SARS-CoV-2 spike glycoprotein and potent COVID-19 therapeutic agent
Abdul Basit, Tanveer Ali, Shafiq ur Rehman
Journal of Biomolecular Structure and Dynamics (2020) Vol. 39, Iss. 10, pp. 3605-3614
Open Access | Times Cited: 67
PhosIDN: an integrated deep neural network for improving protein phosphorylation site prediction by combining sequence and protein–protein interaction information
Hangyuan Yang, Minghui Wang, Xia Liu, et al.
Bioinformatics (2021) Vol. 37, Iss. 24, pp. 4668-4676
Open Access | Times Cited: 52
iPhosS(Deep)-PseAAC: Identify Phosphoserine Sites in Proteins using Deep Learning on General Pseudo Amino Acid Compositions via Modified 5-Steps Rule
Sheraz Naseer, Waqar Hussain, Yaser Daanial Khan, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2020) Vol. 19, Iss. 3, pp. 1703-1714
Closed Access | Times Cited: 50
Using phosphoproteomics data to understand cellular signaling: a comprehensive guide to bioinformatics resources
Sara R. Savage, Bing Zhang
Clinical Proteomics (2020) Vol. 17, Iss. 1
Open Access | Times Cited: 46
iHyd-LysSite (EPSV): Identifying Hydroxylysine Sites in Protein Using Statistical Formulation by Extracting Enhanced Position and Sequence Variant Feature Technique
Muhammad Khalid Mahmood, Asma Ehsan, Yaser Daanial Khan, et al.
Current Genomics (2020) Vol. 21, Iss. 7, pp. 536-545
Open Access | Times Cited: 44
Plant Proteoforms Under Environmental Stress: Functional Proteins Arising From a Single Gene
Klára Kosová, Pavel Vítámvás, Ilja Tom Prášil, et al.
Frontiers in Plant Science (2021) Vol. 12
Open Access | Times Cited: 33
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
Modern Approaches to Protein Constructions: A Comprehensive Review of Computational Tools and Databases for De Novo Protein Design and Engineering
Md. Mojnu Mia, Habiba Sultana, Md. Al Amin, et al.
Engineering Reports (2025) Vol. 7, Iss. 2
Open Access
Computational identification of microbial phosphorylation sites by the enhanced characteristics of sequence information
Md Mehedi Hasan, Md Mamunur Rashid, Mst. Shamima Khatun, et al.
Scientific Reports (2019) Vol. 9, Iss. 1
Open Access | Times Cited: 38
Advances of Proteomics in Novel PTM Discovery: Applications in Cancer Therapy
Yang Wang, Jing Zhang, Bin Li, et al.
Small Methods (2019) Vol. 3, Iss. 5
Closed Access | Times Cited: 35
GPS-Uber: a hybrid-learning framework for prediction of general and E3-specific lysine ubiquitination sites
Chenwei Wang, Xiaodan Tan, Dachao Tang, et al.
Briefings in Bioinformatics (2021) Vol. 23, Iss. 2
Closed Access | Times Cited: 30
PhoglyStruct: Prediction of phosphoglycerylated lysine residues using structural properties of amino acids
Abel Chandra, Alok Sharma, Abdollah Dehzangi, et al.
Scientific Reports (2018) Vol. 8, Iss. 1
Open Access | Times Cited: 36
Automated classification of protein subcellular localization in immunohistochemistry images to reveal biomarkers in colon cancer
Zhen‐Zhen Xue, Yanxia Wu, Qingzu Gao, et al.
BMC Bioinformatics (2020) Vol. 21, Iss. 1
Open Access | Times Cited: 28
SARS-CoV-2 Spike Protein Post-Translational Modification Landscape and Its Impact on Protein Structure and Function via Computational Prediction
Buwen Liang, Yiying Zhu, Wenhao Shi, et al.
Research (2023) Vol. 6
Open Access | Times Cited: 9
DeepTL-Ubi: A novel deep transfer learning method for effectively predicting ubiquitination sites of multiple species
Yu Liu, Ao Li, Xing‐Ming Zhao, et al.
Methods (2020) Vol. 192, pp. 103-111
Closed Access | Times Cited: 24
Research Progress in Predicting DNA Methylation Modifications and the Relation with Human Diseases
Chunyan Ao, Lin Gao, Liang Yu
Current Medicinal Chemistry (2021) Vol. 29, Iss. 5, pp. 822-836
Closed Access | Times Cited: 22
Leveraging Protein Dynamics to Identify Functional Phosphorylation Sites using Deep Learning Models
Fei Zhu, Sijie Yang, Fanwang Meng, et al.
Journal of Chemical Information and Modeling (2022) Vol. 62, Iss. 14, pp. 3331-3345
Closed Access | Times Cited: 14
Ubiquitin-Like Modifiers: Emerging Regulators of Protozoan Parasites
Maryia Karpiyevich, Katerina Artavanis‐Tsakonas
Biomolecules (2020) Vol. 10, Iss. 10, pp. 1403-1403
Open Access | Times Cited: 21
Experimental measurement and computational prediction of bacterial Hanks‐type Ser/Thr signaling system regulatory targets
Noam Grunfeld, Erel Levine, Elizabeth A. Libby
Molecular Microbiology (2024) Vol. 122, Iss. 2, pp. 152-164
Open Access | Times Cited: 2
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