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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:

Pre-surgical connectome features predict IDH status in diffuse gliomas
Shelli R. Kesler, Rebecca A. Harrison, Melissa Petersen, et al.
Oncotarget (2019) Vol. 10, Iss. 60, pp. 6484-6493
Open Access | Times Cited: 19

Showing 19 citing articles:

Machine learning applications to neuroimaging for glioma detection and classification: An artificial intelligence augmented systematic review
Quinlan D. Buchlak, Nazanin Esmaili, Jean‐Christophe Leveque, et al.
Journal of Clinical Neuroscience (2021) Vol. 89, pp. 177-198
Closed Access | Times Cited: 85
Machine Learning-Based Prediction of Glioma IDH Gene Mutation Status Using Physio-Metabolic MRI of Oxygen Metabolism and Neovascularization (A Bicenter Study)
Andreas Stadlbauer, Katarina Nikolić, Stefan Oberndorfer, et al.
Cancers (2024) Vol. 16, Iss. 6, pp. 1102-1102
Open Access | Times Cited: 4
State of Radiomics in Glioblastoma
Birra Taha, Daniel Boley, Ju Sun, et al.
Neurosurgery (2021) Vol. 89, Iss. 2, pp. 177-184
Closed Access | Times Cited: 22
Potential and limitations of radiomics in neuro-oncology
Birra Taha, Daniel Boley, Ju Sun, et al.
Journal of Clinical Neuroscience (2021) Vol. 90, pp. 206-211
Closed Access | Times Cited: 16
Alternations and Applications of the Structural and Functional Connectome in Gliomas: A Mini-Review
Ziyan Chen, Ningrong Ye, Chubei Teng, et al.
Frontiers in Neuroscience (2022) Vol. 16
Open Access | Times Cited: 12
Survival Prediction in Gliomas: Current State and Novel Approaches
Rachel Zhao, Andra Krauze
Exon Publications eBooks (2021), pp. 151-170
Open Access | Times Cited: 11
Diffusion MRI-based connectomics features improve the noninvasive prediction of H3K27M mutation in brainstem gliomas
Ne Yang, Xiong Xiao, Guocan Gu, et al.
Radiotherapy and Oncology (2023) Vol. 186, pp. 109789-109789
Closed Access | Times Cited: 4
Artificial intelligence and advanced MRI techniques: A comprehensive analysis of diffuse gliomas
S. Lysdahlgaard, Mia Daugaard Jørgensen
Journal of medical imaging and radiation sciences (2024) Vol. 55, Iss. 4, pp. 101736-101736
Closed Access | Times Cited: 1
Predicting overall survival in diffuse glioma from the presurgical connectome
Shelli R. Kesler, Rebecca A. Harrison, Vikram Rao, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 5
Observation of the impact of the eight-step process combined with the four-track crossover quality control applied to patients with glioma surgery: a randomised trial
Zhen Zhang, Jing Ma, Ying Xu, et al.
Annals of Translational Medicine (2021) Vol. 9, Iss. 8, pp. 696-696
Open Access | Times Cited: 4
Automated Machine-Learning Framework Integrating Histopathological and Radiological Information for Predicting IDH1 Mutation Status in Glioma
Dingqian Wang, Cuicui Liu, Xiuying Wang, et al.
Frontiers in Bioinformatics (2021) Vol. 1
Open Access | Times Cited: 4
Strength of spatial correlation between gray matter connectivity and patterns of proto-oncogene and neural network construction gene expression is associated with diffuse glioma survival
Shelli R. Kesler, Rebecca A. Harrison, Alexa De La Torre Schutz, et al.
Frontiers in Neurology (2024) Vol. 15
Open Access
Predictors of survival in turkish patients with primary glioblastoma
Emre Bilgin, Berna Bozkurt Duman, Süleyman Altıntaş, et al.
Turkish Neurosurgery (2021)
Open Access | Times Cited: 3
Big Data in the Clinical Neurosciences
G. Damian Brusko, Gregory W. Basil, Michael Y. Wang
Acta neurochirurgica. Supplementum (2021), pp. 271-276
Closed Access | Times Cited: 3
Certain aspects of radiomics and radiogenomics in glioblastoma: what the images hide?
N. E. Maslov, Г. Е. Труфанов, A. Yu. Efimtsev
Translational Medicine (2022) Vol. 9, Iss. 2, pp. 70-80
Open Access | Times Cited: 2
Molecularly determining cognition in glioma: New insights as the plot thickens
Jennie Taylor, Christina Weyer-Jamora, Shawn L. Hervey‐Jumper
Neuro-Oncology (2022) Vol. 24, Iss. 10, pp. 1671-1672
Open Access | Times Cited: 1
Strength of spatial correlation between structural brain network connectivity and brain-wide patterns of proto-oncogene and neural network construction gene expression is associated with diffuse glioma survival
Shelli R. Kesler, Rebecca A. Harrison, Alexa De La Torre Schultz, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
Predicting overall survival in diffuse glioma from the presurgical connectome
Shelli R. Kesler, Rebecca A. Harrison, Vikram Rao, et al.
Research Square (Research Square) (2022)
Open Access
Differentiation of Recurrent Glioblastoma Multiforme and Radiation Necrosis using Magnetic Resonance Imaging and Computerized Approaches: A Review
Rohit V Paradkar
BRAIN BROAD RESEARCH IN ARTIFICIAL INTELLIGENCE AND NEUROSCIENCE (2022) Vol. 13, Iss. 4, pp. 17-28
Open Access
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