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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:

A dynamic gradient architecture generates brain activity states
Jesse A. Brown, Alex J. Lee, Lorenzo Pasquini, et al.
NeuroImage (2022) Vol. 261, pp. 119526-119526
Open Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

Standardizing workflows in imaging transcriptomics with the abagen toolbox
Ross D. Markello, Aurina Arnatkevičiūtė, Jean‐Baptiste Poline, et al.
eLife (2021) Vol. 10
Open Access | Times Cited: 140
Connectome-based modelling of neurodegenerative diseases: towards precision medicine and mechanistic insight
Jacob W. Vogel, Nick Corriveau‐Lecavalier, Nicolai Franzmeier, et al.
Nature reviews. Neuroscience (2023) Vol. 24, Iss. 10, pp. 620-639
Closed Access | Times Cited: 72
A computational model of neurodegeneration in Alzheimer’s disease
David T. Jones, Val J. Lowe, Jonathan Graff‐Radford, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 58
Large-scale neural dynamics in a shared low-dimensional state space reflect cognitive and attentional dynamics
Hayoung Song, Won Mok Shim, Monica D. Rosenberg
eLife (2023) Vol. 12
Open Access | Times Cited: 31
Representation learning of resting state fMRI with variational autoencoder
Jung‐Hoon Kim, Yizhen Zhang, Kuan Han, et al.
NeuroImage (2021) Vol. 241, pp. 118423-118423
Open Access | Times Cited: 41
Deciphering the clinico-radiological heterogeneity of dysexecutive Alzheimer’s disease
Nick Corriveau‐Lecavalier, Leland R Barnard, Jeyeon Lee, et al.
Cerebral Cortex (2023) Vol. 33, Iss. 11, pp. 7026-7043
Open Access | Times Cited: 16
Test–retest reliability and predictive utility of a macroscale principal functional connectivity gradient
Annchen R. Knodt, Maxwell L. Elliott, Ethan T. Whitman, et al.
Human Brain Mapping (2023) Vol. 44, Iss. 18, pp. 6399-6417
Open Access | Times Cited: 13
Omnipresence of the sensorimotor-association axis topography in the human connectome
Karl‐Heinz Nenning, Ting Xu, Alexandre R. Franco, et al.
NeuroImage (2023) Vol. 272, pp. 120059-120059
Open Access | Times Cited: 11
Toward a more informative representation of the fetal–neonatal brain connectome using variational autoencoder
Jung‐Hoon Kim, Josepheen De Asis‐Cruz, Dhineshvikram Krishnamurthy, et al.
eLife (2023) Vol. 12
Open Access | Times Cited: 10
Arousal as a universal embedding for spatiotemporal brain dynamics
Ryan V. Raut, Zachary P. Rosenthal, Xiaodan Wang, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 6
Analyzing asymmetry in brain hierarchies with a linear state-space model of resting-state fMRI data
Danilo Benozzo, Giacomo Baggio, Giorgia Baron, et al.
Network Neuroscience (2024) Vol. 8, Iss. 3, pp. 965-988
Open Access | Times Cited: 1
Frontotemporal lobar degeneration targets brain regions linked to expression of recently evolved genes
Lorenzo Pasquini, Felipe Luiz Pereira, Sahba Seddighi, et al.
Brain (2024) Vol. 147, Iss. 9, pp. 3032-3047
Open Access | Times Cited: 1
Nonlinear latent representations of high-dimensional task-fMRI data: Unveiling cognitive and behavioral insights in heterogeneous spatial maps
Mariam Zabihi, Seyed Mostafa Kia, Thomas Wolfers, et al.
PLoS ONE (2024) Vol. 19, Iss. 8, pp. e0308329-e0308329
Open Access | Times Cited: 1
Spatiotemporal dedifferentiation of the global brain signal topography along the adult lifespan
Yujia Ao, Chengxiao Yang, Jan Drewes, et al.
Human Brain Mapping (2023) Vol. 44, Iss. 17, pp. 5906-5918
Open Access | Times Cited: 4
Uncovering the distinct macro-scale anatomy of dysexecutive and behavioural degenerative diseases
Nick Corriveau‐Lecavalier, Leland R Barnard, Hugo Botha, et al.
Brain (2023) Vol. 147, Iss. 4, pp. 1483-1496
Open Access | Times Cited: 4
Influence of vigilance-related arousal on brain dynamics: Potentials of new approaches
Verónica Mäki-Marttunen
NeuroImage (2023) Vol. 270, pp. 119963-119963
Open Access | Times Cited: 2
Low-frequency repetitive transcranial magnetic stimulation alters the individual functional dynamical landscape
L.L. Fan, Youjun Li, Zi‐Gang Huang, et al.
Cerebral Cortex (2023) Vol. 33, Iss. 16, pp. 9583-9598
Closed Access | Times Cited: 2
Individual uniqueness of connectivity gradients is driven by the complexity of the embedded networks and their dispersion
Yvonne Serhan, Wei Wei, Daniel S. Margulies, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Sex-specific topological structure associated with dementia via latent space estimation
Selena Wang, Yiting Wang, Frederick Xu, et al.
(2024)
Open Access
Opportunities and challenges in connectivity analysis for task-based fMRI comment on “connectivity analyses for task-based fMRI” by Huang S, De Brigard, F., Cabeza, R, and Davis, S.W.
Xin Di, Li Zhang, Zhiguo Zhang, et al.
Physics of Life Reviews (2024) Vol. 51, pp. 13-17
Closed Access
Impaired brain ability of older adults to transit and persist to latent states with well-organized structures at wakeful rest
Zijin Liu, Haishuo Xia, Antao Chen
GeroScience (2024)
Closed Access
Neuromodulatory influences on propagation of brain waves along the unimodal-transmodal gradient
Verónica Mäki-Marttunen, Sander Nieuwenhuis
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Sex‐specific topological structure associated with dementia via latent space estimation
Selena Wang, Yiting Wang, Frederick H. Xu, et al.
Alzheimer s & Dementia (2024)
Open Access
Local Gradients of Functional Connectivity Enable Precise Fingerprinting of Infant Brains During Dynamic Development
Xinrui Yuan, Jiale Cheng, Dan Hu, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
FTLD targets brain regions expressing recently evolved genes
Lorenzo Pasquini, Felipe Luiz Pereira, Sahba Seddighi, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 1
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