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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:

Protein–protein interaction and non-interaction predictions using gene sequence natural vector
Nan Zhao, Maji Zhuo, Kun Tian, et al.
Communications Biology (2022) Vol. 5, Iss. 1
Open Access | Times Cited: 20

Showing 20 citing articles:

Machine learning on protein–protein interaction prediction: models, challenges and trends
Tao Tang, Xiaocai Zhang, Yuansheng Liu, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 2
Closed Access | Times Cited: 34
SVSBI: sequence-based virtual screening of biomolecular interactions
Li Shen, Hongsong Feng, Yuchi Qiu, et al.
Communications Biology (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 16
Artificial Intelligence with Great Potential in Medical Informatics: A Brief Review
Hao Lin
Deleted Journal (2024) Vol. 1, Iss. 1, pp. 2-9
Open Access | Times Cited: 6
The unusual suspect: A novel role for intermediate filament proteins in mitochondrial morphology
Irene M. G. M. Hemel, Carlijn Steen, Simon Denil, et al.
Mitochondrion (2025) Vol. 81, pp. 102008-102008
Closed Access
Topological links in predicted protein complex structures reveal limitations of AlphaFold
Y. T. Hou, Tengyu Xie, Liuqing He, et al.
Communications Biology (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 11
PPIscreenML: Structure-based screening for protein-protein interactions using AlphaFold
Victoria Mischley, Johannes Maier, Jesse Chen, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 2
PPIscreenML: Structure-based screening for protein-protein interactions using AlphaFold
Victoria Mischley, Johannes Maier, Jesse Chen, et al.
(2024)
Open Access | Times Cited: 2
Gene-edited protein kinases and phosphatases in molecular plant breeding
Jiří Sojka, Olga Šamajová, Jozef Šamaj
Trends in Plant Science (2023) Vol. 29, Iss. 6, pp. 694-710
Open Access | Times Cited: 6
Topology-Driven Negative Sampling Enhances Generalizability in Protein-Protein Interaction Prediction
Ayan Chatterjee, Babak Ravandi, Parham Haddadi, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Prediction of the tetramer protein complex interaction based on CNN and SVM
Yanfen Lyu, Ruonan He, Jingjing Hu, et al.
Frontiers in Genetics (2023) Vol. 14
Open Access | Times Cited: 4
Link prediction in protein-protein interaction network: A similarity multiplied similarity algorithm with paths of length three
Wangmin Cai, Peiqiang Liu, Zunfang Wang, et al.
Journal of Theoretical Biology (2024) Vol. 589, pp. 111850-111850
Closed Access
PPIscreenML: Structure-based screening for protein-protein interactions using AlphaFold
Victoria Mischley, Johannes Maier, Jesse Chen, et al.
(2024)
Open Access
Reviewer #2 (Public Review): PPIscreenML: Structure-based screening for protein-protein interactions using AlphaFold

(2024)
Open Access
eLife assessment: PPIscreenML: Structure-based screening for protein-protein interactions using AlphaFold
Martín Graña
(2024)
Open Access
Reviewer #3 (Public Review): PPIscreenML: Structure-based screening for protein-protein interactions using AlphaFold

(2024)
Open Access
Reviewer #1 (Public Review): PPIscreenML: Structure-based screening for protein-protein interactions using AlphaFold

(2024)
Open Access
The guardians of mitochondrial dynamics: a novel role for intermediate filament proteins
Irene M. G. M. Hemel, Carlijn Steen, Simon Denil, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Accurate Prediction of Protein-Binding Residues in Protein Sequences Using SCRIBER
Jian Zhang, Feng Zhou, Xingchen Liang, et al.
Methods in molecular biology (2024), pp. 247-260
Closed Access
TPepPro: a deep learning model for predicting peptide-protein interactions
Jin Xiao-hong, Zimeng Chen, Dan Yu, et al.
Bioinformatics (2024) Vol. 41, Iss. 1
Open Access
A review of computational models for predicting protein-protein interaction and non-interaction
Nan Zhao, Xinqi Gong
Communications in Information and Systems (2023) Vol. 23, Iss. 2, pp. 15-184
Open Access
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