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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:

Data-driven multiscale computational models of cortical and subcortical regions
Srikanth Ramaswamy
Current Opinion in Neurobiology (2024) Vol. 85, pp. 102842-102842
Closed Access | Times Cited: 16

Showing 16 citing articles:

Modeling and Simulation of Neocortical Micro- and Mesocircuitry. Part II: Physiology and Experimentation
James B. Isbister, András Ecker, Christoph Pokorny, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 13
Modeling and Simulation of Neocortical Micro- and Mesocircuitry. Part I: Anatomy
Michael W. Reimann, Sirio Bolaños‐Puchet, Jean-Denis Courcol, et al.
(2024)
Open Access | Times Cited: 5
Modeling and Simulation of Neocortical Micro- and Mesocircuitry. Part I: Anatomy
Michael W. Reimann, Sirio Bolaños‐Puchet, Jean-Denis Courcol, et al.
(2024)
Open Access | Times Cited: 5
Modeling and Simulation of Neocortical Micro- and Mesocircuitry. Part II: Physiology and Experimentation
James B. Isbister, András Ecker, Christoph Pokorny, et al.
(2025)
Open Access
Hallmarks of Brain Plasticity
Yauhen Statsenko, Nikolai V. Kuznetsov, Milos Ljubisaljevich
Biomedicines (2025) Vol. 13, Iss. 2, pp. 460-460
Open Access
The Cerebellar Role in Emotions at a Turning Point: Bibliometric Analysis and Collaboration Networks
Dianela A. Osorio-Becerra, Egidio D’Angelo, Claudia Casellato
The Cerebellum (2025) Vol. 24, Iss. 2
Open Access
A comprehensive review of neurotransmitter modulation via artificial intelligence: A new frontier in personalized neurobiochemistry
Jaleh Bagheri Hamzyan Olia, Arasu Raman, Chou‐Yi Hsu, et al.
Computers in Biology and Medicine (2025) Vol. 189, pp. 109984-109984
Closed Access
Modeling and Simulation of Neocortical Micro- and Mesocircuitry. Part II: Physiology and Experimentation
James B. Isbister, András Ecker, Christoph Pokorny, et al.
(2024)
Open Access | Times Cited: 4
Editorial overview: Computational neuroscience as a bridge between artificial intelligence, modeling and data
Pietro Verzelli, Tatjana Tchumatchenko, Jeanette Hellgren Kotaleski
Current Opinion in Neurobiology (2024) Vol. 84, pp. 102835-102835
Closed Access | Times Cited: 3
Modeling and Simulation of Neocortical Micro- and Mesocircuitry. Part I: Anatomy
Michael W. Reimann, Sirio Bolaños‐Puchet, Jean-Denis Courcol, et al.
(2024)
Open Access | Times Cited: 2
Modeling and Simulation of Neocortical Micro- and Mesocircuitry. Part I: Anatomy
Michael W. Reimann, Sirio Bolaños‐Puchet, Jean-Denis Courcol, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 8
Modeling the effect of magnetoelectric nanoparticles on neuronal electrical activity: An analog circuit approach
Zeinab Ramezani, Victoria André, Sakhrat Khizroev
Biointerphases (2024) Vol. 19, Iss. 3
Closed Access | Times Cited: 1
Evaluation and comparison of methods for neuronal parameter optimization using the Neuroptimus software framework
Mate Mohasci, Márk Patrik Török, Sára Sáray, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Modeling and Simulation of Neocortical Micro- and Mesocircuitry. Part II: Physiology and Experimentation
James B. Isbister, András Ecker, Christoph Pokorny, et al.
(2024)
Open Access
An integrative data-driven model simulating C. elegans brain, body and environment interactions
Mengdi Zhao, Ning Wang, Xinrui Jiang, et al.
Nature Computational Science (2024)
Open Access
Evaluation and comparison of methods for neuronal parameter optimization using the Neuroptimus software framework
Máté Mohácsi, Márk Patrik Török, Sára Sáray, et al.
PLoS Computational Biology (2024) Vol. 20, Iss. 12, pp. e1012039-e1012039
Open Access
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