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:

Mapping the Heterogeneous Phenotype of Schizophrenia and Bipolar Disorder Using Normative Models
Thomas Wolfers, Nhat Trung Doan, Tobias Kaufmann, et al.
JAMA Psychiatry (2018) Vol. 75, Iss. 11, pp. 1146-1146
Open Access | Times Cited: 403

Showing 1-25 of 403 citing articles:

Common brain disorders are associated with heritable patterns of apparent aging of the brain
Tobias Kaufmann, Dennis van der Meer, Nhat Trung Doan, et al.
Nature Neuroscience (2019) Vol. 22, Iss. 10, pp. 1617-1623
Open Access | Times Cited: 486

Conceptualizing mental disorders as deviations from normative functioning
André F. Marquand, Seyed Mostafa Kia, Mariam Zabihi, et al.
Molecular Psychiatry (2019) Vol. 24, Iss. 10, pp. 1415-1424
Open Access | Times Cited: 326

Common Dysfunction of Large-Scale Neurocognitive Networks Across Psychiatric Disorders
Zhiqiang Sha, Tor D. Wager, Andrea Mechelli, et al.
Biological Psychiatry (2018) Vol. 85, Iss. 5, pp. 379-388
Open Access | Times Cited: 306

Brain Heterogeneity in Schizophrenia and Its Association With Polygenic Risk
Dag Alnæs, Tobias Kaufmann, Dennis van der Meer, et al.
JAMA Psychiatry (2019) Vol. 76, Iss. 7, pp. 739-739
Open Access | Times Cited: 245

White matter microstructural alterations across four major psychiatric disorders: mega-analysis study in 2937 individuals
Daisuke Koshiyama, Masaki Fukunaga, Naohiro Okada, et al.
Molecular Psychiatry (2019) Vol. 25, Iss. 4, pp. 883-895
Open Access | Times Cited: 229

Two distinct neuroanatomical subtypes of schizophrenia revealed using machine learning
Ganesh B. Chand, Dominic Dwyer, Güray Erus, et al.
Brain (2020) Vol. 143, Iss. 3, pp. 1027-1038
Open Access | Times Cited: 224

Introduction to machine learning
Sandra Vieira, Walter Hugo Lopez Pinaya, Andrea Mechelli
Machine learning (2019), pp. 1-20
Closed Access | Times Cited: 183

Dissecting the Heterogeneous Cortical Anatomy of Autism Spectrum Disorder Using Normative Models
Mariam Zabihi, Marianne Oldehinkel, Thomas Wolfers, et al.
Biological Psychiatry Cognitive Neuroscience and Neuroimaging (2018) Vol. 4, Iss. 6, pp. 567-578
Open Access | Times Cited: 177

The Challenges and Opportunities of Small Effects
Martin P. Paulus, Wesley K. Thompson
JAMA Psychiatry (2019) Vol. 76, Iss. 4, pp. 353-353
Closed Access | Times Cited: 162

Identification of psychiatric disorder subtypes from functional connectivity patterns in resting-state electroencephalography
Yu Zhang, Wei Wu, Russell T. Toll, et al.
Nature Biomedical Engineering (2020) Vol. 5, Iss. 4, pp. 309-323
Open Access | Times Cited: 154

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: 140

Charting brain growth and aging at high spatial precision
Saige Rutherford, Charlotte Fraza, Richard Dinga, et al.
eLife (2022) Vol. 11
Open Access | Times Cited: 125

Regional, circuit and network heterogeneity of brain abnormalities in psychiatric disorders
Ashlea Segal, Linden Parkes, Kevin Aquino, et al.
Nature Neuroscience (2023) Vol. 26, Iss. 9, pp. 1613-1629
Open Access | Times Cited: 106

The synaptic hypothesis of schizophrenia version III: a master mechanism
Oliver Howes, Ellis Chika Onwordi
Molecular Psychiatry (2023) Vol. 28, Iss. 5, pp. 1843-1856
Open Access | Times Cited: 86

Dopaminergic dysfunction and excitatory/inhibitory imbalance in treatment-resistant schizophrenia and novel neuromodulatory treatment
Masataka Wada, Yoshihiro Noda, Yusuke Iwata, et al.
Molecular Psychiatry (2022) Vol. 27, Iss. 7, pp. 2950-2967
Closed Access | Times Cited: 74

Evidence for embracing normative modeling
Saige Rutherford, Pieter Barkema, Ivy F. Tso, et al.
eLife (2023) Vol. 12
Open Access | Times Cited: 74

Mapping human brain charts cross-sectionally and longitudinally
Maria A. Di Biase, Ye Tian, Richard A. I. Bethlehem, et al.
Proceedings of the National Academy of Sciences (2023) Vol. 120, Iss. 20
Open Access | Times Cited: 60

The schizophrenia syndrome, circa 2024: What we know and how that informs its nature
Rajiv Tandon, Henry A. Nasrallah, Schahram Akbarian, et al.
Schizophrenia Research (2023) Vol. 264, pp. 1-28
Open Access | Times Cited: 59

Normative modelling of brain morphometry across the lifespan with CentileBrain: algorithm benchmarking and model optimisation
Ruiyang Ge, Yuetong Yu, Yi Xuan Qi, et al.
The Lancet Digital Health (2024) Vol. 6, Iss. 3, pp. e211-e221
Open Access | Times Cited: 40

Functional magnetic resonance imaging in schizophrenia: current evidence, methodological advances, limitations and future directions
Aristotle N. Voineskos, Colin Hawco, Nicholas H. Neufeld, et al.
World Psychiatry (2024) Vol. 23, Iss. 1, pp. 26-51
Open Access | Times Cited: 24

Advances in the computational understanding of mental illness
Quentin J. M. Huys, Michael Browning, Martin P. Paulus, et al.
Neuropsychopharmacology (2020) Vol. 46, Iss. 1, pp. 3-19
Open Access | Times Cited: 135

Assessing distinct patterns of cognitive aging using tissue-specific brain age prediction based on diffusion tensor imaging and brain morphometry
Geneviève Richard, Knut K. Kolskår, Anne‐Marthe Sanders, et al.
PeerJ (2018) Vol. 6, pp. e5908-e5908
Open Access | Times Cited: 114

Individual deviations from normative models of brain structure in a large cross-sectional schizophrenia cohort
Jinglei Lv, Maria A. Di Biase, Robin Cash, et al.
Molecular Psychiatry (2020) Vol. 26, Iss. 7, pp. 3512-3523
Open Access | Times Cited: 114

From pattern classification to stratification: towards conceptualizing the heterogeneity of Autism Spectrum Disorder
Thomas Wolfers, Dorothea L. Floris, Richard Dinga, et al.
Neuroscience & Biobehavioral Reviews (2019) Vol. 104, pp. 240-254
Open Access | Times Cited: 112

What we learn about bipolar disorder from large‐scale neuroimaging: Findings and future directions from the ENIGMA Bipolar Disorder Working Group
Christopher R. K. Ching, Derrek P. Hibar, Tiril P. Gurholt, et al.
Human Brain Mapping (2020) Vol. 43, Iss. 1, pp. 56-82
Open Access | Times Cited: 107

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