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:

Gene transcription profiles associated with inter-modular hubs and connection distance in human functional magnetic resonance imaging networks
Petra E. Vértes, Timothy Rittman, Kirstie Whitaker, et al.
Philosophical Transactions of the Royal Society B Biological Sciences (2016) Vol. 371, Iss. 1705, pp. 20150362-20150362
Open Access | Times Cited: 233

Showing 1-25 of 233 citing articles:

Large-Scale Gradients in Human Cortical Organization
Julia M. Huntenburg, Pierre‐Louis Bazin, Daniel S. Margulies
Trends in Cognitive Sciences (2017) Vol. 22, Iss. 1, pp. 21-31
Open Access | Times Cited: 892

A practical guide to linking brain-wide gene expression and neuroimaging data
Aurina Arnatkevičiūtė, Ben Fulcher, Alex Fornito
NeuroImage (2019) Vol. 189, pp. 353-367
Open Access | Times Cited: 625

Adolescence is associated with genomically patterned consolidation of the hubs of the human brain connectome
Kirstie Whitaker, Petra E. Vértes, Rafael Romero-García, et al.
Proceedings of the National Academy of Sciences (2016) Vol. 113, Iss. 32, pp. 9105-9110
Open Access | Times Cited: 525

Microstructural and functional gradients are increasingly dissociated in transmodal cortices
Casey Paquola, Reinder Vos de Wael, Konrad Wagstyl, et al.
PLoS Biology (2019) Vol. 17, Iss. 5, pp. e3000284-e3000284
Open Access | Times Cited: 479

Morphometric Similarity Networks Detect Microscale Cortical Organization and Predict Inter-Individual Cognitive Variation
Jakob Seidlitz, František Váša, Maxwell Shinn, et al.
Neuron (2017) Vol. 97, Iss. 1, pp. 231-247.e7
Open Access | Times Cited: 410

Generative modeling of brain maps with spatial autocorrelation
Joshua B. Burt, Markus Helmer, Maxwell Shinn, et al.
NeuroImage (2020) Vol. 220, pp. 117038-117038
Open Access | Times Cited: 380

Bridging the Gap between Connectome and Transcriptome
Alex Fornito, Aurina Arnatkevičiūtė, Ben Fulcher
Trends in Cognitive Sciences (2018) Vol. 23, Iss. 1, pp. 34-50
Closed Access | Times Cited: 333

Cortical patterning of abnormal morphometric similarity in psychosis is associated with brain expression of schizophrenia-related genes
Sarah E. Morgan, Jakob Seidlitz, Kirstie Whitaker, et al.
Proceedings of the National Academy of Sciences (2019) Vol. 116, Iss. 19, pp. 9604-9609
Open Access | Times Cited: 295

A Systematic Relationship Between Functional Connectivity and Intracortical Myelin in the Human Cerebral Cortex
Julia M. Huntenburg, Pierre‐Louis Bazin, Alexandros Goulas, et al.
Cerebral Cortex (2017) Vol. 27, Iss. 2, pp. 981-997
Open Access | Times Cited: 293

Neuronal timescales are functionally dynamic and shaped by cortical microarchitecture
Richard Gao, Ruud L. van den Brink, Thomas Pfeffer, et al.
eLife (2020) Vol. 9
Open Access | Times Cited: 236

Transcriptomic and cellular decoding of regional brain vulnerability to neurogenetic disorders
Jakob Seidlitz, Ajay Nadig, Siyuan Liu, et al.
Nature Communications (2020) Vol. 11, Iss. 1
Open Access | Times Cited: 228

A synergistic core for human brain evolution and cognition
Andrea I. Luppi, Pedro A. M. Mediano, Fernando Rosas, et al.
Nature Neuroscience (2022) Vol. 25, Iss. 6, pp. 771-782
Open Access | Times Cited: 209

Structural covariance networks are coupled to expression of genes enriched in supragranular layers of the human cortex
Rafael Romero-García, Kirstie Whitaker, František Váša, et al.
NeuroImage (2017) Vol. 171, pp. 256-267
Open Access | Times Cited: 206

Dissecting diagnostic heterogeneity in depression by integrating neuroimaging and genetics
A. Buch, Conor Liston
Neuropsychopharmacology (2020) Vol. 46, Iss. 1, pp. 156-175
Open Access | Times Cited: 187

From Maps to Multi-dimensional Network Mechanisms of Mental Disorders
Urs Braun, Axel Schaefer, Richard F. Betzel, et al.
Neuron (2018) Vol. 97, Iss. 1, pp. 14-31
Open Access | Times Cited: 178

Genetic mapping and evolutionary analysis of human-expanded cognitive networks
Yongbin Wei, Siemon C. de Lange, Lianne H. Scholtens, et al.
Nature Communications (2019) Vol. 10, Iss. 1
Open Access | Times Cited: 170

Mapping gene transcription and neurocognition across human neocortex
Justine Y. Hansen, Ross D. Markello, Jacob W. Vogel, et al.
Nature Human Behaviour (2021) Vol. 5, Iss. 9, pp. 1240-1250
Closed Access | Times Cited: 165

Connectome gradient dysfunction in major depression and its association with gene expression profiles and treatment outcomes
Mingrui Xia, Jin Liu, Andrea Mechelli, et al.
Molecular Psychiatry (2022) Vol. 27, Iss. 3, pp. 1384-1393
Closed Access | Times Cited: 142

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: 142

Genetic influences on hub connectivity of the human connectome
Aurina Arnatkevičiūtė, Ben Fulcher, Stuart Oldham, et al.
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 136

Overcoming false-positive gene-category enrichment in the analysis of spatially resolved transcriptomic brain atlas data
Ben Fulcher, Aurina Arnatkevičiūtė, Alex Fornito
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 126

Molecular and network-level mechanisms explaining individual differences in autism spectrum disorder
A. Buch, Petra E. Vértes, Jakob Seidlitz, et al.
Nature Neuroscience (2023) Vol. 26, Iss. 4, pp. 650-663
Open Access | Times Cited: 81

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: 74

Robust estimation of cortical similarity networks from brain MRI
Isaac Sebenius, Jakob Seidlitz, Varun Warrier, et al.
Nature Neuroscience (2023) Vol. 26, Iss. 8, pp. 1461-1471
Open Access | Times Cited: 45

Topographic gradients of intrinsic dynamics across neocortex
Golia Shafiei, Ross D. Markello, Reinder Vos de Wael, et al.
eLife (2020) Vol. 9
Open Access | Times Cited: 137

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