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:

Quasi-Periodic Patterns of Neural Activity improve Classification of Alzheimer’s Disease in Mice
Michaël E. Belloy, Disha Shah, Anzar Abbas, et al.
Scientific Reports (2018) Vol. 8, Iss. 1
Open Access | Times Cited: 44

Showing 1-25 of 44 citing articles:

Common functional networks in the mouse brain revealed by multi-centre resting-state fMRI analysis
Joanes Grandjean, Carola Canella, Cynthia Anckaerts, et al.
NeuroImage (2019) Vol. 205, pp. 116278-116278
Open Access | Times Cited: 184

Intrinsic macroscale oscillatory modes driving long range functional connectivity in female rat brains detected by ultrafast fMRI
Joana Cabral, Francisca F. Fernandes, Noam Shemesh
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 52

Bring the Noise: Reconceptualizing Spontaneous Neural Activity
Lucina Q. Uddin
Trends in Cognitive Sciences (2020) Vol. 24, Iss. 9, pp. 734-746
Open Access | Times Cited: 134

Animal Functional Magnetic Resonance Imaging: Trends and Path Toward Standardization
Francesca Mandino, Domenic H. Cerri, Clément M. Garin, et al.
Frontiers in Neuroinformatics (2020) Vol. 13
Open Access | Times Cited: 88

Functional Connectivity of the Brain Across Rodents and Humans
Nan Xu, Theodore J. LaGrow, Nmachi Anumba, et al.
Frontiers in Neuroscience (2022) Vol. 16
Open Access | Times Cited: 46

Individual classification of Alzheimer's disease with diffusion magnetic resonance imaging
Tijn M. Schouten, Marisa Koini, Frank de Vos, et al.
NeuroImage (2017) Vol. 152, pp. 476-481
Open Access | Times Cited: 74

Dynamic mode decomposition of resting-state and task fMRI
Jeremy Casorso, Xiaolu Kong, Chi Wang, et al.
NeuroImage (2019) Vol. 194, pp. 42-54
Open Access | Times Cited: 61

Resting-state fMRI reveals longitudinal alterations in brain network connectivity in the zQ175DN mouse model of Huntington's disease
Tamara Vasilkovska, Mohit H. Adhikari, Johan Van Audekerke, et al.
Neurobiology of Disease (2023) Vol. 181, pp. 106095-106095
Open Access | Times Cited: 17

Longitudinal monitoring of the mouse brain reveals heterogenous network trajectories during aging
Özgün Özalay, Tomás Mediavilla, Bruno Lima Giacobbo, et al.
Communications Biology (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 6

The interaction between random and systematic visual stimulation and infraslow quasi-periodic spatiotemporal patterns of whole-brain activity
Nan Xu, Derek M. Smith, George Jeno, et al.
Imaging Neuroscience (2023) Vol. 1, pp. 1-19
Open Access | Times Cited: 13

Altered functional connectivity and spatiotemporal dynamics in individuals with central disorders of hypersomnolence
Lauren Daley, Prabhjyot Saini, Harrison Watters, et al.
Frontiers in Neuroscience (2025) Vol. 19
Open Access

Contribution of animal models toward understanding resting state functional connectivity
Patricia Pais‐Roldán, Céline Matéo, Wen‐Ju Pan, et al.
NeuroImage (2021) Vol. 245, pp. 118630-118630
Open Access | Times Cited: 31

Early altered directionality of resting brain network state transitions in the TgF344-AD rat model of Alzheimer's disease
Sam De Waegenaere, Monica van den Berg, Georgios A. Keliris, et al.
Frontiers in Human Neuroscience (2024) Vol. 18
Open Access | Times Cited: 4

Resting-State Co-activation Patterns as Promising Candidates for Prediction of Alzheimer’s Disease in Aged Mice
Mohit H. Adhikari, Michaël E. Belloy, Annemie Van der Linden, et al.
Frontiers in Neural Circuits (2021) Vol. 14
Open Access | Times Cited: 23

Altered basal forebrain function during whole-brain network activity at pre- and early-plaque stages of Alzheimer’s disease in TgF344-AD rats
Monica van den Berg, Mohit H. Adhikari, Marlies Verschuuren, et al.
Alzheimer s Research & Therapy (2022) Vol. 14, Iss. 1
Open Access | Times Cited: 17

15 Years MR-encephalography
Jürgen Hennig, Vesa Kiviniemi, Bruno Riemenschneider, et al.
Magnetic Resonance Materials in Physics Biology and Medicine (2020) Vol. 34, Iss. 1, pp. 85-108
Open Access | Times Cited: 21

Variation in the distribution of large-scale spatiotemporal patterns of activity across brain states
Lisa Meyer-Baese, Nmachi Anumba, Taylor Bolt, et al.
Frontiers in Systems Neuroscience (2024) Vol. 18
Open Access | Times Cited: 2

Recurrence quantification analysis of rs-fMRI data: A method to detect subtle changes in the TgF344-AD rat model
Arash Rezaei -, Monica van den Berg, Hajar Mirlohi, et al.
Computer Methods and Programs in Biomedicine (2024) Vol. 257, pp. 108378-108378
Closed Access | Times Cited: 2

Resting Brain Fluctuations Are Intrinsically Coupled to Visual Response Dynamics
Michaël E. Belloy, Jacob Billings, Anzar Abbas, et al.
Cerebral Cortex (2020) Vol. 31, Iss. 3, pp. 1511-1522
Open Access | Times Cited: 19

Functional network antagonism and consciousness
Athéna Demertzi, Aaron Kucyi, Adrián Ponce‐Alvarez, et al.
Network Neuroscience (2022) Vol. 6, Iss. 4, pp. 998-1009
Open Access | Times Cited: 11

Comparison of Resting-State Functional MRI Methods for Characterizing Brain Dynamics
Eric Maltbie, Behnaz Yousefi, Xiaodi Zhang, et al.
Frontiers in Neural Circuits (2022) Vol. 16
Open Access | Times Cited: 9

Longitudinal investigation of changes in resting-state co-activation patterns and their predictive ability in the zQ175 DN mouse model of Huntington’s disease
Mohit H. Adhikari, Tamara Vasilkovska, Roger Cachope, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 5

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