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:

Research progress in protein posttranslational modification site prediction
Wenying He, Leyi Wei, Quan Zou
Briefings in Functional Genomics (2018) Vol. 18, Iss. 4, pp. 220-229
Closed Access | Times Cited: 56

Showing 1-25 of 56 citing articles:

Biological Sequence Classification: A Review on Data and General Methods
Chunyan Ao, Shihu Jiao, Yansu Wang, et al.
Research (2022) Vol. 2022
Open Access | Times Cited: 70

How Does Chirality Determine the Selective Inhibition of Histone Deacetylase 6? A Lesson from Trichostatin A Enantiomers Based on Molecular Dynamics
Yang Zhang, Jun Ying, Jia Jun Hong, et al.
ACS Chemical Neuroscience (2019) Vol. 10, Iss. 5, pp. 2467-2480
Closed Access | Times Cited: 88

Discovering the landscape of protein modifications
E. Keith Keenan, Derek K. Zachman, Matthew D. Hirschey
Molecular Cell (2021) Vol. 81, Iss. 9, pp. 1868-1878
Open Access | Times Cited: 81

Predicting transcriptional responses to cold stress across plant species
Xiaoxi Meng, Zhikai Liang, Xiuru Dai, et al.
Proceedings of the National Academy of Sciences (2021) Vol. 118, Iss. 10
Open Access | Times Cited: 73

Prediction of bio-sequence modifications and the associations with diseases
Chunyan Ao, Liang Yu, Quan Zou
Briefings in Functional Genomics (2020) Vol. 20, Iss. 1, pp. 1-18
Closed Access | Times Cited: 72

A comprehensive review of the imbalance classification of protein post-translational modifications
Lijun Dou, Fenglong Yang, Lei Xu, et al.
Briefings in Bioinformatics (2021) Vol. 22, Iss. 5
Closed Access | Times Cited: 36

Malsite-Deep: Prediction of protein malonylation sites through deep learning and multi-information fusion based on NearMiss-2 strategy
Minghui Wang, Lili Song, Yaqun Zhang, et al.
Knowledge-Based Systems (2022) Vol. 240, pp. 108191-108191
Closed Access | Times Cited: 22

Importance of protein Ser/Thr/Tyr phosphorylation for bacterial pathogenesis
Julie Bonne Køhler, Carsten Jers, Mériem Senissar, et al.
FEBS Letters (2020) Vol. 594, Iss. 15, pp. 2339-2369
Open Access | Times Cited: 33

Identification of Protein Lysine Crotonylation Sites by a Deep Learning Framework With Convolutional Neural Networks
Yiming Zhao, Ningning He, Zhen Chen, et al.
IEEE Access (2020) Vol. 8, pp. 14244-14252
Open Access | Times Cited: 32

ADP-Ribosylation Post-Translational Modification: An Overview with a Focus on RNA Biology and New Pharmacological Perspectives
Giuseppe Manco, Giuseppina Lacerra, Elena Porzio, et al.
Biomolecules (2022) Vol. 12, Iss. 3, pp. 443-443
Open Access | Times Cited: 21

Characterizing and explaining the impact of disease-associated mutations in proteins without known structures or structural homologs
Neeladri Sen, Ivan Anishchenko, Nicola Bordin, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 4
Open Access | Times Cited: 19

Farnesoid-X receptor as a therapeutic target for inflammatory bowel disease and colorectal cancer
Mengjiao Zhou, Danfeng Wang, Xiang Li, et al.
Frontiers in Pharmacology (2022) Vol. 13
Open Access | Times Cited: 19

PSMD11 and PSMD14 may serve as novel biomarkers for the prognosis of pancreatic ductal adenocarcinoma
Yanhui Yang, Xing Zhao, Hao Wang, et al.
Frontiers in Oncology (2025) Vol. 15
Open Access

iGlu_AdaBoost: Identification of Lysine Glutarylation Using the AdaBoost Classifier
Lijun Dou, Xiaoling Li, Lichao Zhang, et al.
Journal of Proteome Research (2020) Vol. 20, Iss. 1, pp. 191-201
Closed Access | Times Cited: 31

Computational prediction of protein ubiquitination sites mapping on Arabidopsis thaliana
Md. Parvez Mosharaf, Md. Mehedi Hassan, Fee Faysal Ahmed, et al.
Computational Biology and Chemistry (2020) Vol. 85, pp. 107238-107238
Closed Access | Times Cited: 28

Computational approaches to predict protein functional families and functional sites
Clemens Rauer, Neeladri Sen, Vaishali Waman, et al.
Current Opinion in Structural Biology (2021) Vol. 70, pp. 108-122
Open Access | Times Cited: 23

Glycosylation in Axonal Guidance
Sampada P. Mutalik, Stephanie L. Gupton
International Journal of Molecular Sciences (2021) Vol. 22, Iss. 10, pp. 5143-5143
Open Access | Times Cited: 22

Bioinformatics tools and data resources for assay development of fluid protein biomarkers
Katharina Waury, Eline A.J. Willemse, Eugeen Vanmechelen, et al.
Biomarker Research (2022) Vol. 10, Iss. 1
Open Access | Times Cited: 15

Prediction Of O-Glycosylation Site Using Pre-Trained Language Model And Machine Learning
Alhasan Alkuhlani, Walaa Gad, Mohamed Roushdy, et al.
International journal of intelligent computing and information sciences/International Journal of Intelligent Computing and Information Sciences (2023) Vol. 23, Iss. 1, pp. 41-52
Open Access | Times Cited: 7

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

Acetylation-stabilized chloride intracellular channel 1 exerts a tumor-promoting effect on cervical cancer cells by activating NF-κB
Wanyue Wang, Xin Li, Ye Xu, et al.
Cellular Oncology (2021) Vol. 44, Iss. 3, pp. 557-568
Closed Access | Times Cited: 16

PTMselect: optimization of protein modifications discovery by mass spectrometry
Renaud T. Perchey, Laure Tonini, Marie Tosolini, et al.
Scientific Reports (2019) Vol. 9, Iss. 1
Open Access | Times Cited: 18

Molecular evolution of the plant ECERIFERUM1 and ECERIFERUM3 genes involved in aliphatic hydrocarbon production
Hongliang Wang, Xinzhi Ni, Karen R. Harris‐Shultz
Computational Biology and Chemistry (2019) Vol. 80, pp. 1-9
Closed Access | Times Cited: 17

6mA-Pred: identifying DNA N6-methyladenine sites based on deep learning
Qianfei Huang, Wenyang Zhou, Fei Guo, et al.
PeerJ (2021) Vol. 9, pp. e10813-e10813
Open Access | Times Cited: 14

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