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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:

Predicting treatment response to antidepressant medication using early changes in emotional processing
Michael Browning, Jonathan Kingslake, Colin T. Dourish, et al.
European Neuropsychopharmacology (2018) Vol. 29, Iss. 1, pp. 66-75
Open Access | Times Cited: 69

Showing 1-25 of 69 citing articles:

How Local and Global Metacognition Shape Mental Health
Tricia X. F. Seow, Marion Rouault, Claire M. Gillan, et al.
Biological Psychiatry (2021) Vol. 90, Iss. 7, pp. 436-446
Open Access | Times Cited: 120
Methodological and Quality Flaws in the Use of Artificial Intelligence in Mental Health Research: Systematic Review
Roberto Tornero-Costa, Antonio Martínez-Millana, Natasha Azzopardi‐Muscat, et al.
JMIR Mental Health (2023) Vol. 10, pp. e42045-e42045
Open Access | Times Cited: 55
Deep learning and machine learning in psychiatry: a survey of current progress in depression detection, diagnosis and treatment
Matthew Squires, Xiaohui Tao, Soman Elangovan, et al.
Brain Informatics (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 51
Artificial intelligence in mental health care: a systematic review of diagnosis, monitoring, and intervention applications
Pablo Cruz-Gonzalez, Anxun He, Eva K. M. Lam, et al.
Psychological Medicine (2025) Vol. 55
Closed Access | Times Cited: 3
Cognitive neuropsychological theory of antidepressant action: a modern-day approach to depression and its treatment
Beata R. Godlewska, Catherine J. Harmer
Psychopharmacology (2020) Vol. 238, Iss. 5, pp. 1265-1278
Open Access | Times Cited: 99
Machine learning in the prediction of depression treatment outcomes: a systematic review and meta-analysis
Mehri Sajjadian, Raymond W. Lam, Roumen Milev, et al.
Psychological Medicine (2021) Vol. 51, Iss. 16, pp. 2742-2751
Closed Access | Times Cited: 88
Ketamine modulates fronto-striatal circuitry in depressed and healthy individuals
Anahit Mkrtchian, Jennifer W. Evans, Christoph Kraus, et al.
Molecular Psychiatry (2020) Vol. 26, Iss. 7, pp. 3292-3301
Open Access | Times Cited: 83
Identifying Transdiagnostic Mechanisms in Mental Health Using Computational Factor Modeling
Toby Wise, Oliver J. Robinson, Claire M. Gillan
Biological Psychiatry (2022) Vol. 93, Iss. 8, pp. 690-703
Open Access | Times Cited: 60
Effects of repeated intravenous esketamine administration on affective biases
Christine Reif-Leonhard, Shannon N. Millard, Dorsa Ferdowssian, et al.
The World Journal of Biological Psychiatry (2025), pp. 1-14
Open Access | Times Cited: 1
Psychological mechanisms and functions of 5-HT and SSRIs in potential therapeutic change: Lessons from the serotonergic modulation of action selection, learning, affect, and social cognition
Clark Roberts, Barbara J. Sahakian, Trevor W. Robbins
Neuroscience & Biobehavioral Reviews (2020) Vol. 119, pp. 138-167
Closed Access | Times Cited: 54
The clinical effectiveness of using a predictive algorithm to guide antidepressant treatment in primary care (PReDicT): an open-label, randomised controlled trial
Michael Browning, Amy C. Bilderbeck, Rebecca Dias, et al.
Neuropsychopharmacology (2021) Vol. 46, Iss. 7, pp. 1307-1314
Open Access | Times Cited: 45
Early and Accurate Prediction of Clinical Response to Methotrexate Treatment in Juvenile Idiopathic Arthritis Using Machine Learning
Xiaolan Mo, Xiujuan Chen, Hongwei Li, et al.
Frontiers in Pharmacology (2019) Vol. 10
Open Access | Times Cited: 53
Emotional Biases and Recurrence in Major Depressive Disorder. Results of 2.5 Years Follow-Up of Drug-Free Cohort Vulnerable for Recurrence
Henricus G. Ruhé, Roel J. T. Mocking, Caroline A. Figueroa, et al.
Frontiers in Psychiatry (2019) Vol. 10
Open Access | Times Cited: 49
Predicting treatment outcome in depression: an introduction into current concepts and challenges
Nicolas Rost, Elisabeth B. Binder, Tanja Brückl
European Archives of Psychiatry and Clinical Neuroscience (2022) Vol. 273, Iss. 1, pp. 113-127
Open Access | Times Cited: 24
Who are you after psychedelics? A systematic review and a meta-analysis of the magnitude of long-term effects of serotonergic psychedelics on cognition/creativity, emotional processing and personality
Ivana Solaja, Kate Haldane, Natasha L. Mason, et al.
Neuroscience & Biobehavioral Reviews (2024) Vol. 158, pp. 105570-105570
Closed Access | Times Cited: 6
Precision pharmacotherapy: psychiatry’s future direction in preventing, diagnosing, and treating mental disorders
Andreas Menke
Pharmacogenomics and Personalized Medicine (2018) Vol. Volume 11, pp. 211-222
Open Access | Times Cited: 39
Predicting escitalopram monotherapy response in depression: The role of anterior cingulate cortex
Shui Tian, Yurong Sun, Junneng Shao, et al.
Human Brain Mapping (2019) Vol. 41, Iss. 5, pp. 1249-1260
Open Access | Times Cited: 36
Wirkmechanismen antidepressiver Pharmakotherapie: Gehirn und Psyche – Körper und Umwelt
Moritz Spangemacher, Jonathan Reinwald, Hana Adolphi, et al.
Der Nervenarzt (2025)
Open Access
Individual patterns of activity predict the response to physical exercise as an intervention in mild to moderate depression
Stefan Spulber, Sandra Ceccatelli, Yvonne Forsell
Journal of Affective Disorders (2025)
Open Access
Evaluating cognitive disturbances as treatment target and predictor of antidepressant action in major depressive disorder: A NeuroPharm study
Vibeke H. Dam, Dea Siggaard Stenbæk, Kristin Köhler‐Forsberg, et al.
Translational Psychiatry (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 15
Association Between a Directly Translated Cognitive Measure of Negative Bias and Self-reported Psychiatric Symptoms
Lucie Daniel‐Watanabe, Martha McLaughlin, Siobhan Gormley, et al.
Biological Psychiatry Cognitive Neuroscience and Neuroimaging (2020) Vol. 7, Iss. 2, pp. 201-209
Open Access | Times Cited: 21
Gradient boosting decision-tree-based algorithm with neuroimaging for personalized treatment in depression
Farzana Ali, Kenneth Wengler, Xiang He, et al.
Neuroscience Informatics (2022) Vol. 2, Iss. 4, pp. 100110-100110
Open Access | Times Cited: 12
Unblinding and demand characteristics in the treatment of depression
Guy M. Goodwin, Megan Croal, Lindsey Marwood, et al.
Journal of Affective Disorders (2023) Vol. 328, pp. 1-5
Open Access | Times Cited: 7
Deep phenotyping towards precision psychiatry of first-episode depression — the Brain Drugs-Depression cohort
Kristian H. R. Jensen, Vibeke H. Dam, Melanie Ganz, et al.
BMC Psychiatry (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 7
Machine Learning as a Tool to Find New Pharmacological Targets in Mood Disorders: A Systematic Review
Joana Romão, António Melo, Rita André, et al.
Current Treatment Options in Psychiatry (2024) Vol. 11, Iss. 3, pp. 241-264
Open Access | Times Cited: 2
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