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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:

Resting-state functional connectivity in major depressive disorder: A review
Peter Mulders, Philip van Eijndhoven, Aart H. Schene, et al.
Neuroscience & Biobehavioral Reviews (2015) Vol. 56, pp. 330-344
Closed Access | Times Cited: 753

Showing 1-25 of 753 citing articles:

Using deep learning to investigate the neuroimaging correlates of psychiatric and neurological disorders: Methods and applications
Sandra Vieira, Walter Hugo Lopez Pinaya, Andrea Mechelli
Neuroscience & Biobehavioral Reviews (2017) Vol. 74, pp. 58-75
Open Access | Times Cited: 559
Precision psychiatry: a neural circuit taxonomy for depression and anxiety
Leanne M. Williams
The Lancet Psychiatry (2016) Vol. 3, Iss. 5, pp. 472-480
Open Access | Times Cited: 533
Mechanisms and treatment of late-life depression
George S. Alexopoulos
Translational Psychiatry (2019) Vol. 9, Iss. 1
Open Access | Times Cited: 433
Pathophysiological mechanisms implicated in postpartum depression
Jennifer L. Payne, Jamie Maguire
Frontiers in Neuroendocrinology (2018) Vol. 52, pp. 165-180
Open Access | Times Cited: 328
Resting state brain network function in major depression – Depression symptomatology, antidepressant treatment effects, future research
Janis Brakowski, Simona Spinelli, Nadja Dörig, et al.
Journal of Psychiatric Research (2017) Vol. 92, pp. 147-159
Closed Access | Times Cited: 314
Emotion regulation in mood and anxiety disorders: A meta-analysis of fMRI cognitive reappraisal studies
Maria Picó‐Pérez, Joaquim Raduà, Trevor Steward, et al.
Progress in Neuro-Psychopharmacology and Biological Psychiatry (2017) Vol. 79, pp. 96-104
Open Access | Times Cited: 311
Defining biotypes for depression and anxiety based on large-scale circuit dysfunction: a theoretical review of the evidence and future directions for clinical translation
Leanne M. Williams
Depression and Anxiety (2016) Vol. 34, Iss. 1, pp. 9-24
Open Access | Times Cited: 266
Mood variations decoded from multi-site intracranial human brain activity
Omid G. Sani, Yuxiao Yang, Morgan B. Lee, et al.
Nature Biotechnology (2018) Vol. 36, Iss. 10, pp. 954-961
Open Access | Times Cited: 211
How the brain connects in response to acute stress: A review at the human brain systems level
Jasper van Oort, Indira Tendolkar, Erno J. Hermans, et al.
Neuroscience & Biobehavioral Reviews (2017) Vol. 83, pp. 281-297
Closed Access | Times Cited: 194
Machine learning in resting-state fMRI analysis
Meenakshi Khosla, Keith Jamison, Gia H. Ngo, et al.
Magnetic Resonance Imaging (2019) Vol. 64, pp. 101-121
Open Access | Times Cited: 191
An astroglial basis of major depressive disorder? An overview
Qian Wang, Wei Jie, Jihong Liu, et al.
Glia (2017) Vol. 65, Iss. 8, pp. 1227-1250
Closed Access | Times Cited: 189
Microglia Gone Rogue: Impacts on Psychiatric Disorders across the Lifespan
Tuan Leng Tay, Catherine Béchade, Ivana D’Andrea, et al.
Frontiers in Molecular Neuroscience (2018) Vol. 10
Open Access | Times Cited: 189
Cortical structural differences in major depressive disorder correlate with cell type-specific transcriptional signatures
Jiao Li, Jakob Seidlitz, John Suckling, et al.
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 186
Introduction to machine learning
Sandra Vieira, Walter Hugo Lopez Pinaya, Andrea Mechelli
Machine learning (2019), pp. 1-20
Closed Access | Times Cited: 183
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: 174
Default mode network abnormalities in posttraumatic stress disorder: A novel network-restricted topology approach
Teddy J. Akiki, Christopher L. Averill, Kristen M. Wrocklage, et al.
NeuroImage (2018) Vol. 176, pp. 489-498
Open Access | Times Cited: 165
Harmonization of resting-state functional MRI data across multiple imaging sites via the separation of site differences into sampling bias and measurement bias
Ayumu Yamashita, Noriaki Yahata, Takashi Itahashi, et al.
PLoS Biology (2019) Vol. 17, Iss. 4, pp. e3000042-e3000042
Open Access | Times Cited: 162
Disrupted intrinsic functional brain topology in patients with major depressive disorder
Hong Yang, Xiao Chen, Zuo-Bing Chen, et al.
Molecular Psychiatry (2021) Vol. 26, Iss. 12, pp. 7363-7371
Open Access | Times Cited: 153
Resting-state fMRI functional connectivity and mindfulness in clinical and non-clinical contexts: A review and synthesis
Idil Sezer, Diego A. Pizzagalli, Matthew D. Sacchet
Neuroscience & Biobehavioral Reviews (2022) Vol. 135, pp. 104583-104583
Open Access | Times Cited: 109
Common variants contribute to intrinsic human brain functional networks
Bingxin Zhao, Tengfei Li, Stephen M. Smith, et al.
Nature Genetics (2022) Vol. 54, Iss. 4, pp. 508-517
Open Access | Times Cited: 85
The topology of fMRI-based networks defines the performance of a graph neural network for the classification of patients with major depressive disorder
Elena Pitsik, V. A. Maximenko, Semen Kurkin, et al.
Chaos Solitons & Fractals (2023) Vol. 167, pp. 113041-113041
Closed Access | Times Cited: 43
Deep brain stimulation for refractory major depressive disorder: a comprehensive review
Kara A. Johnson, Michael S. Okun, Katherine W. Scangos, et al.
Molecular Psychiatry (2024) Vol. 29, Iss. 4, pp. 1075-1087
Closed Access | Times Cited: 26
Graph Autoencoders for Embedding Learning in Brain Networks and Major Depressive Disorder Identification
Fuad Noman, Chee-Ming Ting, Hakmook Kang, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 3, pp. 1644-1655
Open Access | Times Cited: 16
Ventral Striatum Functional Connectivity as a Predictor of Adolescent Depressive Disorder in a Longitudinal Community-Based Sample
Pedro Mário Pan, João Ricardo Sato, Giovanni Abrahão Salum, et al.
American Journal of Psychiatry (2017) Vol. 174, Iss. 11, pp. 1112-1119
Open Access | Times Cited: 148
Functional reorganization in obstructive sleep apnoea and insomnia: A systematic review of the resting-state fMRI
Habibolah Khazaie, Mattia Veronese, Khadijeh Noori, et al.
Neuroscience & Biobehavioral Reviews (2017) Vol. 77, pp. 219-231
Open Access | Times Cited: 140
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