OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Brain aging in major depressive disorder: results from the ENIGMA major depressive disorder working group
Laura K. M. Han, Richard Dinga, Tim Hahn, et al.
Molecular Psychiatry (2020) Vol. 26, Iss. 9, pp. 5124-5139
Open Access | Times Cited: 222

Showing 1-25 of 222 citing articles:

ENIGMA and global neuroscience: A decade of large-scale studies of the brain in health and disease across more than 40 countries
Paul M. Thompson, Neda Jahanshad, Christopher R. K. Ching, et al.
Translational Psychiatry (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 516

Major Depressive Disorder: Advances in Neuroscience Research and Translational Applications
Zezhi Li, Meihua Ruan, Jun Chen, et al.
Neuroscience Bulletin (2021) Vol. 37, Iss. 6, pp. 863-880
Open Access | Times Cited: 249

Major depressive disorder
Wolfgang Marx, Brenda W.J.H. Penninx, Marco Solmi, et al.
Nature Reviews Disease Primers (2023) Vol. 9, Iss. 1
Closed Access | Times Cited: 241

ENIGMA MDD: seven years of global neuroimaging studies of major depression through worldwide data sharing
Lianne Schmaal, Elena Pozzi, Tiffany C. Ho, et al.
Translational Psychiatry (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 175

Machine learning for brain age prediction: Introduction to methods and clinical applications
Lea Baecker, Rafael Garcia‐Dias, Sandra Vieira, et al.
EBioMedicine (2021) Vol. 72, pp. 103600-103600
Open Access | Times Cited: 162

The normative modeling framework for computational psychiatry
Saige Rutherford, Seyed Mostafa Kia, Thomas Wolfers, et al.
Nature Protocols (2022) Vol. 17, Iss. 7, pp. 1711-1734
Closed Access | Times Cited: 144

Mind the gap: Performance metric evaluation in brain‐age prediction
Ann‐Marie G. de Lange, Melis Anatürk, Jaroslav Rokicki, et al.
Human Brain Mapping (2022) Vol. 43, Iss. 10, pp. 3113-3129
Open Access | Times Cited: 101

Deep neural networks learn general and clinically relevant representations of the ageing brain
Esten H. Leonardsen, Han Peng, Tobias Kaufmann, et al.
NeuroImage (2022) Vol. 256, pp. 119210-119210
Open Access | Times Cited: 99

Brain ageing in schizophrenia: evidence from 26 international cohorts via the ENIGMA Schizophrenia consortium
Constantinos Constantinides, Laura K. M. Han, Clara Alloza, et al.
Molecular Psychiatry (2022) Vol. 28, Iss. 3, pp. 1201-1209
Open Access | Times Cited: 74

Biological factors influencing depression in later life: role of aging processes and treatment implications
Sarah M. Szymkowicz, Andrew Gerlach, Damek Homiack, et al.
Translational Psychiatry (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 61

Mendelian randomization analyses reveal causal relationships between brain functional networks and risk of psychiatric disorders
Changgai Mu, Xinglun Dang, Xiong‐Jian Luo
Nature Human Behaviour (2024) Vol. 8, Iss. 7, pp. 1417-1428
Closed Access | Times Cited: 19

The brain structure, inflammatory, and genetic mechanisms mediate the association between physical frailty and depression
Rongtao Jiang, Stephanie Noble, Matthew Rosenblatt, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 18

Brain-predicted age difference score is related to specific cognitive functions: a multi-site replication analysis
Rory Boyle, Lee Jollans, Laura M. Rueda‐Delgado, et al.
Brain Imaging and Behavior (2020) Vol. 15, Iss. 1, pp. 327-345
Open Access | Times Cited: 99

Altered resting-state functional connectome in major depressive disorder: a mega-analysis from the PsyMRI consortium
Nooshin Javaheripour, Meng Li, Tara Chand, et al.
Translational Psychiatry (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 96

Factors associated with brain ageing - a systematic review
Jo Wrigglesworth, Phillip G. D. Ward, Ian H. Harding, et al.
BMC Neurology (2021) Vol. 21, Iss. 1
Open Access | Times Cited: 86

Transdiagnostic dimensions of psychopathology explain individuals’ unique deviations from normative neurodevelopment in brain structure
Linden Parkes, Tyler M. Moore, Monica E. Calkins, et al.
Translational Psychiatry (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 85

Cardiometabolic risk factors associated with brain age and accelerate brain ageing
Dani Beck, Ann‐Marie G. de Lange, Mads L. Pedersen, et al.
Human Brain Mapping (2021) Vol. 43, Iss. 2, pp. 700-720
Open Access | Times Cited: 72

Explainable Deep Learning for Personalized Age Prediction With Brain Morphology
Angela Lombardi, Domenico Diacono, Nicola Amoroso, et al.
Frontiers in Neuroscience (2021) Vol. 15
Open Access | Times Cited: 63

Major depression and the biological hallmarks of aging
Erica C. Lorenzo, George A. Kuchel, Chia‐Ling Kuo, et al.
Ageing Research Reviews (2022) Vol. 83, pp. 101805-101805
Open Access | Times Cited: 60

Cross disorder comparisons of brain structure in schizophrenia, bipolar disorder, major depressive disorder, and 22q11.2 deletion syndrome: A review of ENIGMA findings
Eun‐Jin Cheon, Carrie E. Bearden, Daqiang Sun, et al.
Psychiatry and Clinical Neurosciences (2022) Vol. 76, Iss. 5, pp. 140-161
Open Access | Times Cited: 53

Effects of the COVID-19 Pandemic on Mental Health and Brain Maturation in Adolescents: Implications for Analyzing Longitudinal Data
Ian H. Gotlib, Jonas G. Miller, Lauren R. Borchers, et al.
Biological Psychiatry Global Open Science (2022) Vol. 3, Iss. 4, pp. 912-918
Open Access | Times Cited: 53

Adipose tissue distribution from body MRI is associated with cross-sectional and longitudinal brain age in adults
Dani Beck, Ann‐Marie G. de Lange, Dag Alnæs, et al.
NeuroImage Clinical (2022) Vol. 33, pp. 102949-102949
Open Access | Times Cited: 38

A systematic review of multimodal brain age studies: Uncovering a divergence between model accuracy and utility
Robert J. Jirsaraie, Aaron J. Gorelik, Mārtiņš M. Gataviņš, et al.
Patterns (2023) Vol. 4, Iss. 4, pp. 100712-100712
Open Access | Times Cited: 38

Prediction of brain age using structural magnetic resonance imaging: A comparison of accuracy and test–retest reliability of publicly available software packages
Ruben P. Dörfel, Joan M. Arenas‐Gomez, Patrick M. Fisher, et al.
Human Brain Mapping (2023) Vol. 44, Iss. 17, pp. 6139-6148
Open Access | Times Cited: 28

Association of Brain Age, Lesion Volume, and Functional Outcome in Patients With Stroke
Sook‐Lei Liew, Nicolas Schweighofer, James H. Cole, et al.
Neurology (2023) Vol. 100, Iss. 20
Open Access | Times Cited: 27

Page 1 - Next Page

Scroll to top