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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:

Precision medicine review: rare driver mutations and their biophysical classification
Ruth Nussinov, Hyunbum Jang, Chung‐Jung Tsai, et al.
Biophysical Reviews (2019) Vol. 11, Iss. 1, pp. 5-19
Open Access | Times Cited: 51

Showing 1-25 of 51 citing articles:

Anticancer drug resistance: An update and perspective
Ruth Nussinov, Chung‐Jung Tsai, Hyunbum Jang
Drug Resistance Updates (2021) Vol. 59, pp. 100796-100796
Open Access | Times Cited: 246
Targeting ERK1/2 protein-serine/threonine kinases in human cancers
Robert Roskoski
Pharmacological Research (2019) Vol. 142, pp. 151-168
Closed Access | Times Cited: 240
Computational network biology: Data, models, and applications
Chuang Liu, Yifang Ma, Jing Zhao, et al.
Physics Reports (2019) Vol. 846, pp. 1-66
Open Access | Times Cited: 178
AlphaFold, Artificial Intelligence (AI), and Allostery
Ruth Nussinov, Mingzhen Zhang, Yonglan Liu, et al.
The Journal of Physical Chemistry B (2022) Vol. 126, Iss. 34, pp. 6372-6383
Open Access | Times Cited: 106
Molecular principles underlying aggressive cancers
Ruth Nussinov, Bengi Ruken Yavuz, Hyunbum Jang
Signal Transduction and Targeted Therapy (2025) Vol. 10, Iss. 1
Open Access | Times Cited: 3
MutateX: an automated pipeline for in silico saturation mutagenesis of protein structures and structural ensembles
Matteo Tiberti, Thilde Terkelsen, Kristine Degn, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 3
Open Access | Times Cited: 47
Allostery: Allosteric Cancer Drivers and Innovative Allosteric Drugs
Ruth Nussinov, Mingzhen Zhang, Ryan Maloney, et al.
Journal of Molecular Biology (2022) Vol. 434, Iss. 17, pp. 167569-167569
Open Access | Times Cited: 44
Anticancer drugs: How to select small molecule combinations?
Ruth Nussinov, Bengi Ruken Yavuz, Hyunbum Jang
Trends in Pharmacological Sciences (2024) Vol. 45, Iss. 6, pp. 503-519
Closed Access | Times Cited: 13
A systems approach to clinical oncology uses deep phenotyping to deliver personalized care
James T. Yurkovich, Qiang Tian, Nathan D. Price, et al.
Nature Reviews Clinical Oncology (2019) Vol. 17, Iss. 3, pp. 183-194
Closed Access | Times Cited: 55
Along the allostery stream: Recent advances in computational methods for allosteric drug discovery
Duan Ni, Zong‐Tao Chai, Ying Wang, et al.
Wiley Interdisciplinary Reviews Computational Molecular Science (2021) Vol. 12, Iss. 4
Closed Access | Times Cited: 49
A new precision medicine initiative at the dawn of exascale computing
Ruth Nussinov, Hyunbum Jang, Guy Nir, et al.
Signal Transduction and Targeted Therapy (2021) Vol. 6, Iss. 1
Open Access | Times Cited: 45
Allostery, and how to define and measure signal transduction
Ruth Nussinov, Chung‐Jung Tsai, Hyunbum Jang
Biophysical Chemistry (2022) Vol. 283, pp. 106766-106766
Open Access | Times Cited: 36
Review: Cancer and neurodevelopmental disorders: multi-scale reasoning and computational guide
Ruth Nussinov, Bengi Ruken Yavuz, Habibe Cansu Demirel, et al.
Frontiers in Cell and Developmental Biology (2024) Vol. 12
Open Access | Times Cited: 6
A protracted war against cancer drug resistance
Yuan Tian, Xiaowei Wang, Cong Wu, et al.
Cancer Cell International (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 6
A New View of Activating Mutations in Cancer
Ruth Nussinov, Chung‐Jung Tsai, Hyunbum Jang
Cancer Research (2022) Vol. 82, Iss. 22, pp. 4114-4123
Open Access | Times Cited: 25
SHP2 clinical phenotype, cancer, or RASopathies, can be predicted by mutant conformational propensities
Yonglan Liu, Wengang Zhang, Hyunbum Jang, et al.
Cellular and Molecular Life Sciences (2023) Vol. 81, Iss. 1
Open Access | Times Cited: 14
Single cell spatial biology over developmental time can decipher pediatric brain pathologies
Ruth Nussinov, Bengi Ruken Yavuz, Hyunbum Jang
Neurobiology of Disease (2024) Vol. 199, pp. 106597-106597
Open Access | Times Cited: 5
ERK Allosteric Activation: The Importance of Two Ordered Phosphorylation Events
Clil Regev, Hyunbum Jang, Ruth Nussinov
bioRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access
ERK Allosteric Activation: The Importance of Two Ordered Phosphorylation Events
Clil Regev, Hyunbum Jang, Ruth Nussinov
Journal of Molecular Biology (2025), pp. 169130-169130
Closed Access
Why Are Some Driver Mutations Rare?
Ruth Nussinov, Chung‐Jung Tsai, Hyunbum Jang
Trends in Pharmacological Sciences (2019) Vol. 40, Iss. 12, pp. 919-929
Open Access | Times Cited: 38
Emerging Allosteric Mechanism of EGFR Activation in Physiological and Pathological Contexts
Chung‐Jung Tsai, Ruth Nussinov
Biophysical Journal (2019) Vol. 117, Iss. 1, pp. 5-13
Open Access | Times Cited: 36
Mechanism of activation and the rewired network: New drug design concepts
Ruth Nussinov, Mingzhen Zhang, Ryan Maloney, et al.
Medicinal Research Reviews (2021) Vol. 42, Iss. 2, pp. 770-799
Open Access | Times Cited: 27
Direct K-Ras Inhibitors to Treat Cancers: Progress, New Insights, and Approaches to Treat Resistance
Ruth Nussinov, Hyunbum Jang
The Annual Review of Pharmacology and Toxicology (2023) Vol. 64, Iss. 1, pp. 231-253
Closed Access | Times Cited: 12
Leveraging protein dynamics to identify cancer mutational hotspots using 3D structures
Sushant Kumar, Declan Clarke, Mark Gerstein
Proceedings of the National Academy of Sciences (2019) Vol. 116, Iss. 38, pp. 18962-18970
Open Access | Times Cited: 34
Computationally-guided drug repurposing enables the discovery of kinase targets and inhibitors as new schistosomicidal agents
Sandra Giuliani, Arthur C. Silva, Joyce V. V. B. Borba, et al.
PLoS Computational Biology (2018) Vol. 14, Iss. 10, pp. e1006515-e1006515
Open Access | Times Cited: 33
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