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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:

Selective Activation of the Deep Layers of the Human Primary Visual Cortex by Top-Down Feedback
Peter Kok, Lauren J. Bains, Tim van Mourik, et al.
Current Biology (2016) Vol. 26, Iss. 3, pp. 371-376
Open Access | Times Cited: 415

Showing 51-75 of 415 citing articles:

Laminar specific fMRI reveals directed interactions in distributed networks during language processing
Daniel Sharoh, Tim van Mourik, Lauren J. Bains, et al.
Proceedings of the National Academy of Sciences (2019) Vol. 116, Iss. 42, pp. 21185-21190
Open Access | Times Cited: 78
Resolving multisensory and attentional influences across cortical depth in sensory cortices
Rémi Gau, Pierre‐Louis Bazin, Robert Trampel, et al.
eLife (2020) Vol. 9
Open Access | Times Cited: 74
The empirical status of predictive coding and active inference
Rowan Hodson, Marishka Mehta, Ryan Smith
Neuroscience & Biobehavioral Reviews (2023) Vol. 157, pp. 105473-105473
Closed Access | Times Cited: 29
Improved sensitivity and microvascular weighting of 3T laminar fMRI with GE-BOLD using NORDIC and phase regression
Lasse Knudsen, Christopher J. Bailey, Jakob Udby Blicher, et al.
NeuroImage (2023) Vol. 271, pp. 120011-120011
Open Access | Times Cited: 27
Mental Imagery
Bence Nánay
Oxford University Press eBooks (2023)
Closed Access | Times Cited: 24
Cortical depth profiles in primary visual cortex for illusory and imaginary experiences
Johanna Bergmann, Lucy S. Petro, Clément Abbatecola, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 13
Predictions and errors are distinctly represented across V1 layers
Emily R. Thomas, Joost Haarsma, Jessica Nicholson, et al.
Current Biology (2024) Vol. 34, Iss. 10, pp. 2265-2271.e4
Open Access | Times Cited: 13
Perceptual integration without conscious access
Johannes J. Fahrenfort, Jonathan van Leeuwen, Christian N. L. Olivers, et al.
Proceedings of the National Academy of Sciences (2017) Vol. 114, Iss. 14, pp. 3744-3749
Open Access | Times Cited: 85
Laminar fMRI and computational theories of brain function
Klaas Ε. Stephan, Frederike H. Petzschner, Lars Kasper, et al.
NeuroImage (2017) Vol. 197, pp. 699-706
Closed Access | Times Cited: 82
Nighres: processing tools for high-resolution neuroimaging
Julia M. Huntenburg, Christopher J. Steele, Pierre‐Louis Bazin
GigaScience (2018) Vol. 7, Iss. 7
Open Access | Times Cited: 77
Top-Down Feedback Controls the Cortical Representation of Illusory Contours in Mouse Primary Visual Cortex
Alexandr Pak, Esther Ryu, Claudia Li, et al.
Journal of Neuroscience (2019) Vol. 40, Iss. 3, pp. 648-660
Open Access | Times Cited: 72
No Evidence that Predictions and Attention Modulate the First Feedforward Sweep of Cortical Information Processing
Josipa Alilović, Bart Timmermans, Leon C. Reteig, et al.
Cerebral Cortex (2019) Vol. 29, Iss. 5, pp. 2261-2278
Open Access | Times Cited: 70
Cortical depth profiles of luminance contrast responses in human V1 and V2 using 7 T fMRI
Ingo Marquardt, Marian Schneider, Ömer Faruk Gülban, et al.
Human Brain Mapping (2018) Vol. 39, Iss. 7, pp. 2812-2827
Open Access | Times Cited: 69
Disentangling causal webs in the brain using functional magnetic resonance imaging: A review of current approaches
Natalia Bielczyk, Sebo Uithol, Tim van Mourik, et al.
Network Neuroscience (2018) Vol. 3, Iss. 2, pp. 237-273
Open Access | Times Cited: 69
Laminar (f)MRI: A short history and future prospects
David G. Norris, Jon̈athan R. Polimeni
NeuroImage (2019) Vol. 197, pp. 643-649
Open Access | Times Cited: 68
Resolving laminar activation in human V1 using ultra-high spatial resolution fMRI at 7T
Sriranga Kashyap, Dimo Ivanov, Martin Havlíček, et al.
Scientific Reports (2018) Vol. 8, Iss. 1
Open Access | Times Cited: 65
Sensitivity and specificity considerations for fMRI encoding, decoding, and mapping of auditory cortex at ultra-high field
Michelle Moerel, Federico De Martino, Valentin G. Kemper, et al.
NeuroImage (2017) Vol. 164, pp. 18-31
Open Access | Times Cited: 64
A primer on encoding models in sensory neuroscience
Marcel van Gerven
Journal of Mathematical Psychology (2016) Vol. 76, pp. 172-183
Open Access | Times Cited: 63
Prior Expectations of Motion Direction Modulate Early Sensory Processing
Fraser Aitken, Georgia Turner, Peter Kok
Journal of Neuroscience (2020) Vol. 40, Iss. 33, pp. 6389-6397
Open Access | Times Cited: 63
Cross-species neuroscience: closing the explanatory gap
Helen C. Barron, Rogier B. Mars, David Dupret, et al.
Philosophical Transactions of the Royal Society B Biological Sciences (2020) Vol. 376, Iss. 1815, pp. 20190633-20190633
Open Access | Times Cited: 59
Rapid computations of spectrotemporal prediction error support perception of degraded speech
Ediz Sohoglu, Matthew H. Davis
eLife (2020) Vol. 9
Open Access | Times Cited: 56
Scene Representations Conveyed by Cortical Feedback to Early Visual Cortex Can Be Described by Line Drawings
Andrew Morgan, Lucy S. Petro, Lars Muckli
Journal of Neuroscience (2019) Vol. 39, Iss. 47, pp. 9410-9423
Open Access | Times Cited: 55
Recurrent Processing Drives Perceptual Plasticity
Ke Jia, Elisa Zamboni, Valentin G. Kemper, et al.
Current Biology (2020) Vol. 30, Iss. 21, pp. 4177-4187.e4
Open Access | Times Cited: 54
The promise of layer-specific neuroimaging for testing predictive coding theories of psychosis
Joost Haarsma, Peter Kok, Michael Browning
Schizophrenia Research (2020) Vol. 245, pp. 68-76
Open Access | Times Cited: 50
Perception in real-time: predicting the present, reconstructing the past
Hinze Hogendoorn
Trends in Cognitive Sciences (2021) Vol. 26, Iss. 2, pp. 128-141
Closed Access | Times Cited: 47

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