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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:

Theta-Band Oscillations as an Indicator of Mild Traumatic Brain Injury
Hanna Kaltiainen, Liisa Helle, Mia Liljeström, et al.
Brain Topography (2018) Vol. 31, Iss. 6, pp. 1037-1046
Open Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

Brain rhythms control microglial response and cytokine expression via NF-κB signaling
Ashley Prichard, Kristie M. Garza, Avni Shridhar, et al.
Science Advances (2023) Vol. 9, Iss. 32
Open Access | Times Cited: 13
Regionally specific resting-state beta neural power predicts brain injury and symptom recovery in adolescents with concussion: a longitudinal study
J. Christopher Edgar, Lisa Blaskey, Yuhan Chen, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2025)
Closed Access
The Use of Magnetoencephalography in the Diagnosis and Monitoring of Mild Traumatic Brain Injuries and Post-Concussion Syndrome
Ioannis Mavroudis, Dimitrios Kazis, Foivos Petridis, et al.
Brain Sciences (2025) Vol. 15, Iss. 2, pp. 154-154
Open Access
Network effects of traumatic brain injury: from infra slow to high frequency oscillations and seizures
Brianna Marsh, Sylvain Chauvette, Mingxiong Huang, et al.
Journal of Computational Neuroscience (2025)
Open Access
Aim-based choice of strategy for MEG-based brain state classification
Irina Saranskaia, Boris Gutkin, Denis Zakharov
The European Physical Journal Special Topics (2025)
Closed Access
Neural correlates of β-lactam exposure in intensive care unit patients: an observational, prospective cohort study
Arnaud Zalta, Agnès Trébuchon, Géraldine Daquin, et al.
Journal of Neurology (2025) Vol. 272, Iss. 5
Open Access
Aberrant Whole-Brain Transitions and Dynamics of Spontaneous Network Microstates in Mild Traumatic Brain Injury
Marios Antonakakis, Stavros I. Dimitriadis, Michalis Zervakis, et al.
Frontiers in Computational Neuroscience (2020) Vol. 13
Open Access | Times Cited: 32
Magnetoencephalography abnormalities in adult mild traumatic brain injury: A systematic review
Christopher Allen, Lloyd Halsey, Gogem Topcu, et al.
NeuroImage Clinical (2021) Vol. 31, pp. 102697-102697
Open Access | Times Cited: 25
Using normative modeling and machine learning for detecting mild traumatic brain injury from magnetoencephalography data
Veera Itälinna, Hanna Kaltiainen, Nina Forss, et al.
PLoS Computational Biology (2023) Vol. 19, Iss. 11, pp. e1011613-e1011613
Open Access | Times Cited: 9
Mild Traumatic Brain Injury Affects Cognitive Processing and Modifies Oscillatory Brain Activity during Attentional Tasks
Hanna Kaltiainen, Mia Liljeström, Liisa Helle, et al.
Journal of Neurotrauma (2019) Vol. 36, Iss. 14, pp. 2222-2232
Open Access | Times Cited: 25
Assessing Pediatric Mild Traumatic Brain Injury and Its Recovery Using Resting-State Magnetoencephalography Source Magnitude Imaging and Machine Learning
Mingxiong Huang, Annemarie Angeles-Quinto, Ashley Robb-Swan, et al.
Journal of Neurotrauma (2023) Vol. 40, Iss. 11-12, pp. 1112-1129
Open Access | Times Cited: 7
Joint analysis of frontal theta synchrony and white matter following mild traumatic brain injury
James F. Cavanagh, Rebecca Rieger, J. Kevin Wilson, et al.
Brain Imaging and Behavior (2019) Vol. 14, Iss. 6, pp. 2210-2223
Open Access | Times Cited: 20
Mild traumatic brain injury is associated with dysregulated neural network functioning in children and adolescents
Kristina Safar, Jing Zhang, Zahra Emami, et al.
Brain Communications (2021) Vol. 3, Iss. 2
Open Access | Times Cited: 17
Magnetoencephalography for the pediatric population, indications, acquisition and interpretation for the clinician
Adam A. Dmytriw, Aristides Hadjinicolaou, Georgios Ntolkeras, et al.
The Neuroradiology Journal (2024)
Closed Access | Times Cited: 2
Understanding Primary Blast Injury: High Frequency Pressure Acutely Disrupts Neuronal Network Dynamics in Cerebral Organoids
Marc Joshua Silvosa, Nohemi Romo Mercado, Nikolas Merlock, et al.
Journal of Neurotrauma (2022) Vol. 39, Iss. 21-22, pp. 1575-1590
Open Access | Times Cited: 9
Sensor-level MEG combined with machine learning yields robust classification of mild traumatic brain injury patients
J. Aaltonen, Verna Heikkinen, Hanna Kaltiainen, et al.
Clinical Neurophysiology (2023) Vol. 153, pp. 79-87
Open Access | Times Cited: 5
Magnetoencephalography in the Detection and Characterization of Brain Abnormalities Associated with Traumatic Brain Injury: A Comprehensive Review
Geoffrey W. Peitz, Elisabeth A. Wilde, Ramesh Grandhi
Medical Sciences (2021) Vol. 9, Iss. 1, pp. 7-7
Open Access | Times Cited: 12
Weighted Coherence Analysis as a Window into the Neurophysiological Effects of Traumatic Brain Injury
Ignacio Méndez‐Balbuena, Brenda Lesly Betancourt-Navarrete, Cristina Hermosillo‐Abundis, et al.
Bioengineering (2024) Vol. 11, Iss. 12, pp. 1187-1187
Open Access | Times Cited: 1
Eyes-open and eyes-closed EEG of older adults with subjective cognitive impairment versus healthy controls: A frequency principal components analysis study
Adele E. Cave, Frances M. De Blasio, Dennis Chang, et al.
Brain Research (2024), pp. 149399-149399
Closed Access | Times Cited: 1
Assessing Recovery from Mild Traumatic Brain Injury (Mtbi) using Magnetoencephalography (MEG): An Application of the Synchronous Neural Interactions (SNI) Test
Don Thorpe, Brian Engdahl, Arthur C. Leuthold, et al.
Journal of Neurology and Neuromedicine (2020) Vol. 5, Iss. 3, pp. 28-34
Open Access | Times Cited: 7
Cognitive deficits and rehabilitation mechanisms in mild traumatic brain injury patients revealed by EEG connectivity markers
Sinan Liu, Chaoqun Shi, Xuying Ma, et al.
Clinical Neurophysiology (2020) Vol. 132, Iss. 2, pp. 554-567
Closed Access | Times Cited: 7
Resting‐state magnetoencephalography source magnitude imaging with deep‐learning neural network for classification of symptomatic combat‐related mild traumatic brain injury
Mingxiong Huang, Charles Huang, Deborah L. Harrington, et al.
Human Brain Mapping (2021) Vol. 42, Iss. 7, pp. 1987-2004
Open Access | Times Cited: 7
Concussed Neural Signature is Substantially Different than Fatigue Neural Signature in Non-concussed Controls
Gustavo Sandri Heidner, Caitlin O’Connell, Zachary J. Domire, et al.
Journal of Motor Behavior (2023) Vol. 55, Iss. 3, pp. 302-312
Closed Access | Times Cited: 2
Detecting mild traumatic brain injury with MEG, normative modelling and machine learning
Veera Itälinna, Hanna Kaltiainen, Nina Forss, et al.
medRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 4
The effectiveness of high-tone therapy in the complex rehabilitation of servicemen with post-traumatic stress disorder complicated by traumatic brain injury
Babov Kd, І. Б. Заболотна, Alexander Plakida, et al.
Neurological Sciences (2022) Vol. 44, Iss. 3, pp. 1039-1048
Closed Access | Times Cited: 4
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