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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:

Prediction of liquid–liquid phase separating proteins using machine learning
Xiaoquan Chu, Tanlin Sun, Qian Li, et al.
BMC Bioinformatics (2022) Vol. 23, Iss. 1
Open Access | Times Cited: 146

Showing 1-25 of 146 citing articles:

Expanding the molecular language of protein liquid–liquid phase separation
Shiv Rekhi, Cristobal Garcia Garcia, Mayur Barai, et al.
Nature Chemistry (2024) Vol. 16, Iss. 7, pp. 1113-1124
Open Access | Times Cited: 85
A New Phase of Networking: The Molecular Composition and Regulatory Dynamics of Mammalian Stress Granules
Seán Millar, Jie Huang, Karl J. Schreiber, et al.
Chemical Reviews (2023) Vol. 123, Iss. 14, pp. 9036-9064
Open Access | Times Cited: 63
Precise prediction of phase-separation key residues by machine learning
Jun Sun, Jiale Qu, Cai Zhao, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 24
MolPhase, an advanced prediction algorithm for protein phase separation
Qiyu Liang, Nana Peng, Yi Xie, et al.
The EMBO Journal (2024) Vol. 43, Iss. 9, pp. 1898-1918
Open Access | Times Cited: 19
Peptide-Mediated Liquid-Liquid Phase Separation and Biomolecular Condensates
Guangle Li, Chengqian Yuan, Xuehai Yan
Soft Matter (2025) Vol. 21, Iss. 10, pp. 1781-1812
Closed Access | Times Cited: 2
Tudor staphylococcal nuclease is a docking platform for stress granule components and is essential for SnRK1 activation in Arabidopsis
Emilio Gutiérrez-Beltrán, Pernilla H Elander, Kerstin Dalman, et al.
The EMBO Journal (2021) Vol. 40, Iss. 17
Open Access | Times Cited: 64
Intrinsically disordered regions that drive phase separation form a robustly distinct protein class
Ayyam Y. Ibrahim, Nathan P. Khaodeuanepheng, Dhanush L. Amarasekara, et al.
Journal of Biological Chemistry (2022) Vol. 299, Iss. 1, pp. 102801-102801
Open Access | Times Cited: 57
Biological soft matter: intrinsically disordered proteins in liquid–liquid phase separation and biomolecular condensates
Alexander V. Fonin, Iuliia A. Antifeeva, Irina М. Kuznetsova, et al.
Essays in Biochemistry (2022) Vol. 66, Iss. 7, pp. 831-847
Closed Access | Times Cited: 44
Liquid–liquid phase separation of amyloid-β oligomers modulates amyloid fibrils formation
Xinrui Gui, Shuang Feng, Zilong Li, et al.
Journal of Biological Chemistry (2023) Vol. 299, Iss. 3, pp. 102926-102926
Open Access | Times Cited: 41
An Interpretable Machine-Learning Algorithm to Predict Disordered Protein Phase Separation Based on Biophysical Interactions
Hao Cai, Robert M. Vernon, Julie D. Forman‐Kay
Biomolecules (2022) Vol. 12, Iss. 8, pp. 1131-1131
Open Access | Times Cited: 40
Theoretical and Data-Driven Approaches for Biomolecular Condensates
Kadi L. Saar, Daoyuan Qian, Lydia L. Good, et al.
Chemical Reviews (2023) Vol. 123, Iss. 14, pp. 8988-9009
Open Access | Times Cited: 30
Phase separation and molecular ordering of the prion-like domain of the Arabidopsis thermosensory protein EARLY FLOWERING 3
Stephanie Hutin, Janet R. Kumita, Vivien I. Strotmann, et al.
Proceedings of the National Academy of Sciences (2023) Vol. 120, Iss. 28
Open Access | Times Cited: 28
Machine learning predictor PSPire screens for phase-separating proteins lacking intrinsically disordered regions
Shuang Hou, Jiaojiao Hu, Zhaowei Yu, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 16
Different applications of machine learning approaches in materials science and engineering: Comprehensive review
Yan Cao, Ali Taghvaie Nakhjiri, Mahdi Ghadiri
Engineering Applications of Artificial Intelligence (2024) Vol. 135, pp. 108783-108783
Closed Access | Times Cited: 16
A phage nucleus-associated RNA-binding protein is required for jumbo phage infection
Eray Enüstün, Emily Armbruster, Jina Lee, et al.
Nucleic Acids Research (2024) Vol. 52, Iss. 8, pp. 4440-4455
Open Access | Times Cited: 12
Liquid–liquid phase separation in Alzheimer’s disease
Qinggang Fu, Bixiang Zhang, Xiaoping Chen, et al.
Journal of Molecular Medicine (2024) Vol. 102, Iss. 2, pp. 167-181
Closed Access | Times Cited: 10
A Functional Map of the Human Intrinsically Disordered Proteome
Iva Pritišanac, T. Reid Alderson, Đesika Kolarić, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Closed Access | Times Cited: 10
Protein Condensate Atlas from predictive models of heteromolecular condensate composition
Kadi L. Saar, Rob Scrutton, Kotryna Bloznelyte, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 10
Functional Biomaterials Derived from Protein Liquid–Liquid Phase Separation and Liquid‐to‐Solid Transition
Tianchen Li, Dea Prianka Ayu Ilhamsyah, Benjamin C.U. Tai, et al.
Advanced Materials (2025)
Open Access | Times Cited: 1
Allovalent scavenging of activation domains in the transcription factor ANAC013 gears transcriptional regulation
Elise Delaforge, Amanda D. Due, Frederik Friis Theisen, et al.
Nucleic Acids Research (2025) Vol. 53, Iss. 4
Open Access | Times Cited: 1
Aberrant liquid-liquid phase separation and amyloid aggregation of proteins related to neurodegenerative diseases
Azeem Ahmad, Vladimir N. Uversky, Rizwan Hasan Khan
International Journal of Biological Macromolecules (2022) Vol. 220, pp. 703-720
Closed Access | Times Cited: 36
Phase diagrams—Why they matter and how to predict them
Pin Yu Chew, Aleks Reinhardt
The Journal of Chemical Physics (2022) Vol. 158, Iss. 3
Open Access | Times Cited: 35
Sodium ion influx regulates liquidity of biomolecular condensates in hyperosmotic stress response
Kazuhiro Morishita, Kengo Watanabe, Isao Naguro, et al.
Cell Reports (2023) Vol. 42, Iss. 4, pp. 112315-112315
Open Access | Times Cited: 23
Towards sequence-based principles for protein phase separation predictions
Michele Vendruscolo, Mónika Fuxreiter
Current Opinion in Chemical Biology (2023) Vol. 75, pp. 102317-102317
Open Access | Times Cited: 23
Liquid-liquid phase separation in DNA double-strand breaks repair
Yunlong Wang, Wan-Wen Zhao, Jie Shi, et al.
Cell Death and Disease (2023) Vol. 14, Iss. 11
Open Access | Times Cited: 20
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