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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:

Genetic variation, brain, and intelligence differences
Ian J. Deary, Simon R. Cox, W. David Hill
Molecular Psychiatry (2021) Vol. 27, Iss. 1, pp. 335-353
Open Access | Times Cited: 104

Showing 1-25 of 104 citing articles:

Timing of lifespan influences on brain and cognition
Kristine B. Walhovd, Martin Lövdén, Anders M. Fjell
Trends in Cognitive Sciences (2023) Vol. 27, Iss. 10, pp. 901-915
Open Access | Times Cited: 57
The impact of digital media on children’s intelligence while controlling for genetic differences in cognition and socioeconomic background
Bruno Sauce, Magnus Liebherr, Nicholas Judd, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 53
Personality neuroscience: An emerging field with bright prospects
Colin G. DeYoung, Roger E. Beaty, Erhan Genç, et al.
Personality Science (2022) Vol. 3
Open Access | Times Cited: 42
Associations between Socioeconomic Status, Cognition, and Brain Structure: Evaluating Potential Causal Pathways Through Mechanistic Models of Development
Michael S. C. Thomas, Selma Coecke
Cognitive Science (2023) Vol. 47, Iss. 1
Closed Access | Times Cited: 22
Multivariate genetic analysis of personality and cognitive traits reveals abundant pleiotropy
Guy Hindley, Alexey Shadrin, Dennis van der Meer, et al.
Nature Human Behaviour (2023) Vol. 7, Iss. 9, pp. 1584-1600
Open Access | Times Cited: 22
Fluid intelligence and the locus coeruleus–norepinephrine system
Jason S. Tsukahara, Randall W Engle
Proceedings of the National Academy of Sciences (2021) Vol. 118, Iss. 46
Open Access | Times Cited: 43
Interindividual Differences in Cognitive Variability Are Ubiquitous and Distinct From Mean Performance in a Battery of Eleven Tasks
Nicholas Judd, Michael Aristodemou, Torkel Klingberg, et al.
Journal of Cognition (2024) Vol. 7, Iss. 1, pp. 45-45
Open Access | Times Cited: 6
Neurite density but not myelination of specific fiber tracts links polygenic scores to general intelligence
Christina Stammen, Javier Schneider Penate, Dorothea Metzen, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2025)
Closed Access
El talento académico: una revisión conceptual
Mauricio Alexander Gómez-Pedraza, Alba Lucía Meneses Báez
Educación y Educadores (2025) Vol. 26, Iss. 3, pp. 1-20
Open Access
Cognitive predictors of mental health trajectories are mediated by inferior frontal and occipital development during adolescence
Qingyang Li, Miao Cao, Dan J. Stein, et al.
Molecular Psychiatry (2025)
Closed Access
Beyond the Extra X and Y Chromosome: The Contribution of Familial Risk for Psychopathology to the Neurodevelopmental Phenotype of Children With Sex Chromosome Trisomy
Sophie van Rijn, Kimberly Kuiper, Hanna Swaab
American Journal of Medical Genetics Part A (2025)
Open Access
Functional Tests Guide Complex “Fidelity“ Tradeoffs in Whole-Brain Emulation
Charl Linssen, Randal A. Koene
Journal of Ethics and Emerging Technologies (2025) Vol. 35, Iss. 1, pp. 1-14
Closed Access
Using DNA to predict intelligence
Sophie von Stumm, Robert Plomin
Intelligence (2021) Vol. 86, pp. 101530-101530
Closed Access | Times Cited: 28
The biological basis of intelligence: Benchmark findings
Kirsten Hilger, Frank M. Spinath, Stefan J. Troche, et al.
Intelligence (2022) Vol. 93, pp. 101665-101665
Closed Access | Times Cited: 20
Examining the neurostructural architecture of intelligence: The Lothian Birth Cohort 1936 study
Danielle Page, Colin R. Buchanan, Joanna E. Moodie, et al.
Cortex (2024) Vol. 178, pp. 269-286
Open Access | Times Cited: 4
Brain and cognitive ageing: The present, and some predictions (…about the future)
Simon R. Cox, Ian J. Deary
Aging Brain (2022) Vol. 2, pp. 100032-100032
Open Access | Times Cited: 16
Brain aging differs with cognitive ability regardless of education
Kristine B. Walhovd, Lars Nyberg, Ulman Lindenberger, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 16
Predicting sex, age, general cognition and mental health with machine learning on brain structural connectomes
Hon Wah Yeung, Aleks Stolicyn, Colin R. Buchanan, et al.
Human Brain Mapping (2022) Vol. 44, Iss. 5, pp. 1913-1933
Open Access | Times Cited: 16
Genetically proxied lean mass and risk of Alzheimer’s disease: mendelian randomisation study
Iyas Daghlas, Malik Nassan, Dipender Gill
BMJ Medicine (2023) Vol. 2, Iss. 1, pp. e000354-e000354
Open Access | Times Cited: 9
Robust associations between white matter microstructure and general intelligence
Christina Stammen, Christoph Fraenz, Rachael Grazioplene, et al.
Cerebral Cortex (2023) Vol. 33, Iss. 11, pp. 6723-6741
Open Access | Times Cited: 7
Anticholinergic burden in middle and older age is associated with lower cognitive function, but not with brain atrophy
Jure Mur, Riccardo E. Marioni, Tom C. Russ, et al.
British Journal of Clinical Pharmacology (2023) Vol. 89, Iss. 7, pp. 2224-2235
Open Access | Times Cited: 7
Assessment of primary schoolchildren’s fluid intelligence using Raven's Colored progressive matrices: A pilot cross-sectional study in Lebanon
Marwa Manana, Diana Ghanem, Sarah Tarhini, et al.
World Journal of Advanced Research and Reviews (2023) Vol. 19, Iss. 3, pp. 317-326
Open Access | Times Cited: 7
Combined repetitive transcranial magnetic stimulation and gut microbiota modulation through the gut–brain axis for prevention and treatment of autism spectrum disorder
Pengya Feng, Yangyang Zhang, Yong-Hong Zhao, et al.
Frontiers in Immunology (2024) Vol. 15
Open Access | Times Cited: 2
The Causal Relationships Between Gut Microbiota, Brain Volume, and Intelligence: A Two-Step Mendelian Randomization Analysis
Shi Yao, Ji-Zhou Han, Jing Guo, et al.
Biological Psychiatry (2024) Vol. 96, Iss. 6, pp. 463-472
Closed Access | Times Cited: 2
Biomarkers of preschool children with autism spectrum disorder: quantitative analysis of whole-brain tissue component volumes, intelligence scores, ADOS-CSS, and ages of first-word production and walking onset
Xiang Zhou, Wu-Sheng Lin, Feng-Yun Zou, et al.
World Journal of Pediatrics (2024)
Closed Access | Times Cited: 2
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