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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:

Modeling Brain Dynamics in Brain Tumor Patients Using the Virtual Brain
Hannelore Aerts, Michael Schirner, Ben Jeurissen, et al.
eNeuro (2018) Vol. 5, Iss. 3, pp. ENEURO.0083-18.2018
Open Access | Times Cited: 60

Showing 1-25 of 60 citing articles:

Quantitative mapping of the brain’s structural connectivity using diffusion MRI tractography: A review
Fan Zhang, Alessandro Daducci, Yong He, et al.
NeuroImage (2022) Vol. 249, pp. 118870-118870
Open Access | Times Cited: 188
Brain simulation as a cloud service: The Virtual Brain on EBRAINS
Michael Schirner, Lia Domide, Dionysios Perdikis, et al.
NeuroImage (2022) Vol. 251, pp. 118973-118973
Open Access | Times Cited: 64
Virtual deep brain stimulation: Multiscale co-simulation of a spiking basal ganglia model and a whole-brain mean-field model with The Virtual Brain
J. Meier, Dionysios Perdikis, André Blickensdörfer, et al.
Experimental Neurology (2022) Vol. 354, pp. 114111-114111
Open Access | Times Cited: 49
A macaque connectome for large-scale network simulations in TheVirtualBrain
Kelly Shen, Gleb Bezgin, Michael Schirner, et al.
Scientific Data (2019) Vol. 6, Iss. 1
Open Access | Times Cited: 75
Modeling brain dynamics after tumor resection using The Virtual Brain
Hugo J.W.L. Aerts, Michael Schirner, Thijs Dhollander, et al.
NeuroImage (2020) Vol. 213, pp. 116738-116738
Open Access | Times Cited: 61
Diffusion MRI tractography for neurosurgery: the basics, current state, technical reliability and challenges
Joseph Yang, Chun‐Hung Yeh, Cyril Poupon, et al.
Physics in Medicine and Biology (2021) Vol. 66, Iss. 15, pp. 15TR01-15TR01
Open Access | Times Cited: 42
Bridging Scales in Alzheimer's Disease: Biological Framework for Brain Simulation With The Virtual Brain
Leon Stefanovski, J. Meier, Roopa Pai, et al.
Frontiers in Neuroinformatics (2021) Vol. 15
Open Access | Times Cited: 36
The Digital Twin Brain: A Bridge between Biological and Artificial Intelligence
Hui Xiong, Congying Chu, Lingzhong Fan, et al.
Intelligent Computing (2023) Vol. 2
Open Access | Times Cited: 15
Advances in physiological and clinical relevance of hiPSC-derived brain models for precision medicine pipelines
Negin Imani Farahani, Lisa Lin, Shama Nazir, et al.
Frontiers in Cellular Neuroscience (2025) Vol. 18
Open Access
FastSurfer-LIT: Lesion Inpainting Tool for Whole Brain MRI Segmentation With Tumors, Cavities and Abnormalities
Clemens Pollak, David Kügler, Tobias Bauer, et al.
Imaging Neuroscience (2025) Vol. 3
Open Access
Longitudinal changes in brain connectivity correlate with neuropsychological testing in brain tumor resection patients
David Ellis, Matthew Garlinghouse, David E. Warren, et al.
Frontiers in Neuroscience (2025) Vol. 19
Open Access
How to measure functional connectivity using resting-state fMRI? A comprehensive empirical exploration of different connectivity metrics
Lukas Roell, Stephan Wunderlich, David Roell, et al.
NeuroImage (2025), pp. 121195-121195
Open Access
Virtual Connectomic Datasets in Alzheimer’s Disease and Aging Using Whole-Brain Network Dynamics Modelling
Lucas Arbabyazd, Kelly Shen, Zheng Wang, et al.
eNeuro (2021) Vol. 8, Iss. 4, pp. ENEURO.0475-20.2021
Open Access | Times Cited: 28
Functional and structural reorganization in brain tumors: a machine learning approach using desynchronized functional oscillations
Joan Falcó-Roget, Alberto Cacciola, Fabio Sambataro, et al.
Communications Biology (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 4
The digital twin in neuroscience: from theory to tailored therapy
Lucius S. Fekonja, Robert Schenk, E Schröder, et al.
Frontiers in Neuroscience (2024) Vol. 18
Open Access | Times Cited: 4
Deep learning-based free-water correction for single-shell diffusion MRI
Tianyuan Yao, Derek B. Archer, Praitayini Kanakaraj, et al.
Magnetic Resonance Imaging (2025), pp. 110326-110326
Closed Access
Toward an information theoretical description of communication in brain networks
Enrico Amico, Kausar Abbas, Duy Duong‐Tran, et al.
Network Neuroscience (2021), pp. 1-20
Open Access | Times Cited: 26
Subject-specific features of excitation/inhibition profiles in neurodegenerative diseases
Anita Monteverdi, Fulvia Palesi, Alfredo Costa, et al.
Frontiers in Aging Neuroscience (2022) Vol. 14
Open Access | Times Cited: 15
Structure-function models of temporal, spatial, and spectral characteristics of non-invasive whole brain functional imaging
Ashish Raj, Parul Verma, Srikantan S. Nagarajan
Frontiers in Neuroscience (2022) Vol. 16
Open Access | Times Cited: 14
Virtual brain simulations reveal network-specific parameters in neurodegenerative dementias
Anita Monteverdi, Fulvia Palesi, Michael Schirner, et al.
Frontiers in Aging Neuroscience (2023) Vol. 15
Open Access | Times Cited: 7
Recent Progress in Brain Network Models for Medical Applications: A Review
Chenfei Ye, Yixuan Zhang, Ran Chen, et al.
Health Data Science (2024) Vol. 4
Open Access | Times Cited: 2
The Importance of Cerebellar Connectivity on Simulated Brain Dynamics
Fulvia Palesi, Roberta Lorenzi, Claudia Casellato, et al.
Frontiers in Cellular Neuroscience (2020) Vol. 14
Open Access | Times Cited: 18
Structured Flows on Manifolds as guiding concepts in brain science
Viktor Jirsa
Springer eBooks (2020), pp. 89-102
Closed Access | Times Cited: 17
Graph Theoretical Analysis of Brain Network Characteristics in Brain Tumor Patients: A Systematic Review
Eric S. Semmel, Tobiloba R. Quadri, Tricia Z. King
Neuropsychology Review (2021) Vol. 32, Iss. 3, pp. 651-675
Closed Access | Times Cited: 13
Alterations in Graph Network Connectivity Predict Neurocognitive Changes in Patients Undergoing Brain Tumor Surgery
David Ellis, David E. Warren, Matthew Garlinghouse, et al.
(2024)
Open Access | Times Cited: 1
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