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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:

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

Showing 12 citing articles:

Protein succinylation: regulating metabolism and beyond
Xiaoli Hou, Yiqiu Chen, Xiao Li, et al.
Frontiers in Nutrition (2024) Vol. 11
Open Access | Times Cited: 8
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
Protein post-translational modification by lysine succinylation: Biochemistry, biological implications, and therapeutic opportunities
Zhao Guo, Junfeng Zhen, Xinyuan Liu, et al.
Genes & Diseases (2022) Vol. 10, Iss. 4, pp. 1242-1262
Open Access | Times Cited: 19
PredNTS: Improved and Robust Prediction of Nitrotyrosine Sites by Integrating Multiple Sequence Features
Andi Nur Nilamyani, Firda Nurul Auliah, Mohammad Ali Moni, et al.
International Journal of Molecular Sciences (2021) Vol. 22, Iss. 5, pp. 2704-2704
Open Access | Times Cited: 18
Impact of Lysine Succinylation on the Biology of Fungi
John Adejor, Elisabeth Tumukunde, Guoqi Li, et al.
Current Issues in Molecular Biology (2024) Vol. 46, Iss. 2, pp. 1020-1046
Open Access | Times Cited: 2
MDCAN-Lys: A Model for Predicting Succinylation Sites Based on Multilane Dense Convolutional Attention Network
Huiqing Wang, Hong Sheng Zhao, Zhiliang Yan, et al.
Biomolecules (2021) Vol. 11, Iss. 6, pp. 872-872
Open Access | Times Cited: 16
Current computational tools for protein lysine acylation site prediction
Zhaohui Qin, Haoran Ren, Pei Zhao, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 6
Closed Access | Times Cited: 1
PUP-Fuse: Prediction of Protein Pupylation Sites by Integrating Multiple Sequence Representations
Firda Nurul Auliah, Andi Nur Nilamyani, Watshara Shoombuatong, et al.
International Journal of Molecular Sciences (2021) Vol. 22, Iss. 4, pp. 2120-2120
Open Access | Times Cited: 8
Deep_KsuccSite: A novel deep learning method for the identification of lysine succinylation sites
Xin Liu, Linlin Xu, Yaping Lu, et al.
Frontiers in Genetics (2022) Vol. 13
Open Access | Times Cited: 4
Dysregulation of protein succinylation and disease development
Xiaoli Hou, Li‐Juan Zhu, Haiying Xu, et al.
Frontiers in Molecular Biosciences (2024) Vol. 11
Open Access
SuccSPred: Succinylation Sites Prediction Using Fused Feature Representation and Ranking Method
Ruiquan Ge, Yizhang Luo, Guanwen Feng, et al.
Lecture notes in computer science (2021), pp. 191-202
Closed Access | Times Cited: 1
pQLyCar: Peptide-based dynamic query-driven sample rescaling strategy for identifying carboxylation sites combined with KNN and SVM
Ning Qiao, Ansheng Deng, Tingting Zou, et al.
Analytical Biochemistry (2021) Vol. 633, pp. 114386-114386
Closed Access
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