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:

Employing Connectome-Based Models to Predict Working Memory in Multiple Sclerosis
Heena R. Manglani, Stephanie Fountain‐Zaragoza, Anita Shankar, et al.
Brain Connectivity (2021) Vol. 12, Iss. 6, pp. 502-514
Open Access | Times Cited: 14

Showing 14 citing articles:

Predicting response time variability from task and resting-state functional connectivity in the aging brain
Oyetunde Gbadeyan, James T. C. Teng, Ruchika Shaurya Prakash
NeuroImage (2022) Vol. 250, pp. 118890-118890
Open Access | Times Cited: 22

Connectome‐based predictive modelling of cognitive reserve using task‐based functional connectivity
Rory Boyle, Michael Connaughton, Eimear McGlinchey, et al.
European Journal of Neuroscience (2022) Vol. 57, Iss. 3, pp. 490-510
Open Access | Times Cited: 19

Tell me why: A scoping review on the fundamental building blocks of fMRI-based network analysis
Zarah van der Pal, Linda Douw, Amanda Genis, et al.
NeuroImage Clinical (2025), pp. 103785-103785
Open Access

Neural connectome features of procrastination: Current progress and future direction
Zhiyi Chen, Tingyong Feng
Brain and Cognition (2022) Vol. 161, pp. 105882-105882
Closed Access | Times Cited: 8

The Individualized Prediction of Neurocognitive Function in People Living with HIV Based on Clinical and Multimodal Connectome Data
Xiang Li, Sheri L. Towe, Ryan P. Bell, et al.
IEEE Journal of Biomedical and Health Informatics (2023), pp. 1-11
Open Access | Times Cited: 4

Linking the neural signature of response time variability to Alzheimer’s disease pathology and cognitive functioning
James Teng, Michael R. McKenna, Oyetunde Gbadeyan, et al.
Network Neuroscience (2024) Vol. 8, Iss. 3, pp. 697-713
Open Access | Times Cited: 1

Review of the Brain’s Behaviour after Injury and Disease for Its Application in an Agent-Based Model (ABM)
Luis Irastorza-Valera, Edgar Soria‐Gómez, José María Benítez, et al.
Biomimetics (2024) Vol. 9, Iss. 6, pp. 362-362
Open Access | Times Cited: 1

Protocol for a randomized controlled trial of mindfulness-based stress reduction to improve attentional control in older adults (HealthyAgers trial)
Ruchika Shaurya Prakash, Stephanie Fountain‐Zaragoza, Megan Fisher, et al.
BMC Geriatrics (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 5

Connectome-based predictive modeling of cognitive reserve using task-based functional connectivity
Rory Boyle, Michael Connaughton, Eimear McGlinchey, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 3

Whole-brain functional connectivity predicts groupwise and sex-specific tau PET in preclincal Alzheimer's disease
Hamid Abuwarda, Anne Trainer, Corey Horien, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access

Connectome‐based predictive modelling of ageing, overall cognitive functioning and memory performance
Yi Gu, Lianghu Guo, Xinyi Cai, et al.
European Journal of Neuroscience (2024) Vol. 60, Iss. 11, pp. 6812-6829
Open Access

TRACking health behaviors in people with Multiple Sclerosis (TRAC-MS): Study protocol and description of the study sample
Ruchika Shaurya Prakash, Heena R. Manglani, Elizabeth Jean Duraney, et al.
Contemporary Clinical Trials Communications (2022) Vol. 30, pp. 101006-101006
Open Access | Times Cited: 1

Using connectome-based models of working memory to predict emotion regulation in older adults
Megan Fisher, James T. C. Teng, Oyetunde Gbadeyan, et al.
Social Cognitive and Affective Neuroscience (2023) Vol. 18, Iss. 1
Open Access

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