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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:

Silences, spikes and bursts: Three‐part knot of the neural code
Zachary Friedenberger, Emerson F. Harkin, Katalin Tóth, et al.
The Journal of Physiology (2023) Vol. 601, Iss. 23, pp. 5165-5193
Open Access | Times Cited: 17

Showing 17 citing articles:

Structured Dynamics in the Algorithmic Agent
Giulio Ruffini, Francesca Castaldo, Jakub Vohryzek
Entropy (2025) Vol. 27, Iss. 1, pp. 90-90
Open Access | Times Cited: 1
Cellular mechanisms of cooperative context-sensitive predictive inference
Tomáš Marvan, William A. Phillips
Current Research in Neurobiology (2024) Vol. 6, pp. 100129-100129
Open Access | Times Cited: 7
Decoupling Measurements and Processes: On the Epiphenomenon Debate Surrounding Brain Oscillations in Field Potentials
Sander van Bree, Daniel Levenstein, Matthew R. Krause, et al.
(2024)
Open Access | Times Cited: 5
Functional subtypes of synaptic dynamics in mouse and human
John Beninger, Julian Rossbroich, Katalin Tóth, et al.
Cell Reports (2024) Vol. 43, Iss. 2, pp. 113785-113785
Open Access | Times Cited: 4
Network motifs in cellular neurophysiology
Divyansh Mittal, Rishikesh Narayanan
Trends in Neurosciences (2024) Vol. 47, Iss. 7, pp. 506-521
Closed Access | Times Cited: 4
Processes and measurements: a framework for understanding neural oscillations in field potentials
Sander van Bree, Daniel Levenstein, Matthew R. Krause, et al.
Trends in Cognitive Sciences (2025)
Closed Access
Direct effects of prolonged TNF-α and IL-6 exposure on neural activity in human iPSC-derived neuron-astrocyte co-cultures
Noah Goshi, Doris Lam, Chandrakumar Bogguri, et al.
Frontiers in Cellular Neuroscience (2025) Vol. 19
Open Access
Computational protocol for modeling and analyzing synaptic dynamics using SRPlasticity
J Poirier, John Beninger, Richard Naud
STAR Protocols (2025) Vol. 6, Iss. 1, pp. 103652-103652
Open Access
Distributed burst activity in the thalamocortical system encodes reward contingencies during learning
Filippo Heimburg, Josephine Timm, Nadin Mari Saluti, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access
Linking temporal coordination of hippocampal activity to memory function
Guillaume Etter, James E. Carmichael, Sylvain Williams
Frontiers in Cellular Neuroscience (2023) Vol. 17
Open Access | Times Cited: 4
Structured dynamics in the algorithmic agent
Giulio Ruffini, Francesca Castaldo, Edmundo Lopez-Sola, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 3
Thalamo-Cortical Interaction for Incremental Binding in Mental Contour-Tracing
Daniel Schmid, Heiko Neumann
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 3
Functional Subtypes of Synaptic Dynamics in Mouse and Human
John Beninger, Julian Rossbroich, Katalin Tóth, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 2
Synchrony, oscillations, and phase relationships in collective neuronal activity: a highly comparative overview of methods
Fabiano Baroni, Ben Fulcher
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Closed Access
A Burst-Dependent Algorithm for Neuromorphic On-Chip Learning of Spiking Neural Networks
Michael Stuck, Xingyun Wang, Richard Naud
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Closed Access
Cross‐modal sensitivities to auditory and visual stimulations in the first‐order somatosensory thalamic nucleus
Akihisa Kimura
European Journal of Neuroscience (2024) Vol. 60, Iss. 7, pp. 5621-5657
Open Access
Inferring plasticity rules from single-neuron spike trains using deep learning methods
Xingyun Wang, Jean-Claude Béı̈que, Richard Naud
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 1
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