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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:

Prediction Models of Functional Outcomes for Individuals in the Clinical High-Risk State for Psychosis or With Recent-Onset Depression
Nikolaos Koutsouleris, Lana Kambeitz‐Ilankovic, Stephan Ruhrmann, et al.
JAMA Psychiatry (2018) Vol. 75, Iss. 11, pp. 1156-1156
Open Access | Times Cited: 292

Showing 26-50 of 292 citing articles:

Towards Precision Medicine in Psychosis: Benefits and Challenges of Multimodal Multicenter Studies—PSYSCAN: Translating Neuroimaging Findings From Research into Clinical Practice
Stefania Tognin, Hendrika H. van Hell, Kate Merritt, et al.
Schizophrenia Bulletin (2019) Vol. 46, Iss. 2, pp. 432-441
Open Access | Times Cited: 70
Individualized Diagnostic and Prognostic Models for Patients With Psychosis Risk Syndromes: A Meta-analytic View on the State of the Art
Rachele Sanfelici, Dominic Dwyer, Linda A. Antonucci, et al.
Biological Psychiatry (2020) Vol. 88, Iss. 4, pp. 349-360
Open Access | Times Cited: 68
Predicting sporadic Alzheimer's disease progression via inherited Alzheimer's disease‐informed machine‐learning
Nicolai Franzmeier, Nikolaos Koutsouleris, Tammie L.S. Benzinger, et al.
Alzheimer s & Dementia (2020) Vol. 16, Iss. 3, pp. 501-511
Open Access | Times Cited: 61
Neuroimaging Heterogeneity in Psychosis: Neurobiological Underpinnings and Opportunities for Prognostic and Therapeutic Innovation
Aristotle N. Voineskos, Grace Jacobs, Stephanie H. Ameis
Biological Psychiatry (2019) Vol. 88, Iss. 1, pp. 95-102
Open Access | Times Cited: 59
Machine learning classification of ADHD and HC by multimodal serotonergic data
Alexander Kautzky, Thomas Vanicek, C. Philippe, et al.
Translational Psychiatry (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 57
A meta-analysis of ultra-high field glutamate, glutamine, GABA and glutathione 1HMRS in psychosis: Implications for studies of psychosis risk
Valerie J. Sydnor, David R. Roalf
Schizophrenia Research (2020) Vol. 226, pp. 61-69
Open Access | Times Cited: 56
Computing schizophrenia: ethical challenges for machine learning in psychiatry
Georg Starke, Eva De Clercq, Stefan Borgwardt, et al.
Psychological Medicine (2020) Vol. 51, Iss. 15, pp. 2515-2521
Open Access | Times Cited: 54
Dosimetric Factors and Radiomics Features Within Different Regions of Interest in Planning CT Images for Improving the Prediction of Radiation Pneumonitis
Wei Jiang, Yipeng Song, Zhe Sun, et al.
International Journal of Radiation Oncology*Biology*Physics (2021) Vol. 110, Iss. 4, pp. 1161-1170
Closed Access | Times Cited: 54
An Investigation of Psychosis Subgroups With Prognostic Validation and Exploration of Genetic Underpinnings
Dominic Dwyer, János Kálmán, Monika Budde, et al.
JAMA Psychiatry (2020) Vol. 77, Iss. 5, pp. 523-523
Open Access | Times Cited: 53
Dynamic ElecTronic hEalth reCord deTection (DETECT) of individuals at risk of a first episode of psychosis: a case-control development and validation study
Lars Lau Rakêt, Jörn Jaskolowski, Bruce J. Kinon, et al.
The Lancet Digital Health (2020) Vol. 2, Iss. 5, pp. e229-e239
Open Access | Times Cited: 52
Longitudinal Structural MRI Findings in Individuals at Genetic and Clinical High Risk for Psychosis: A Systematic Review
Kate Merritt, Pedro Luque Laguna, Ayela Irfan, et al.
Frontiers in Psychiatry (2021) Vol. 12
Open Access | Times Cited: 49
Toward Generalizable and Transdiagnostic Tools for Psychosis Prediction: An Independent Validation and Improvement of the NAPLS-2 Risk Calculator in the Multisite PRONIA Cohort
Nikolaos Koutsouleris, Michelle A. Worthington, Dominic Dwyer, et al.
Biological Psychiatry (2021) Vol. 90, Iss. 9, pp. 632-642
Open Access | Times Cited: 46
Psychiatry in the Digital Age: A Blessing or a Curse?
Carl B. Roth, Andreas Papassotiropoulos, Annette Beatrix Brühl, et al.
International Journal of Environmental Research and Public Health (2021) Vol. 18, Iss. 16, pp. 8302-8302
Open Access | Times Cited: 46
Promises and pitfalls of deep neural networks in neuroimaging-based psychiatric research
Fabian Eitel, Marc‐Andre Schulz, Moritz Seiler, et al.
Experimental Neurology (2021) Vol. 339, pp. 113608-113608
Open Access | Times Cited: 44
Towards clinical application of prediction models for transition to psychosis: A systematic review and external validation study in the PRONIA sample
Marlene Rosen, Linda T. Betz, Frauke Schultze‐Lutter, et al.
Neuroscience & Biobehavioral Reviews (2021) Vol. 125, pp. 478-492
Open Access | Times Cited: 43
Longitudinal outcome of attenuated positive symptoms, negative symptoms, functioning and remission in people at clinical high risk for psychosis: a meta-analysis
Gonzalo Salazar de Pablo, Filippo Besana, Vincenzo Arienti, et al.
EClinicalMedicine (2021) Vol. 36, pp. 100909-100909
Open Access | Times Cited: 42
Toward Mapping Neurobehavioral Heterogeneity of Psychedelic Neurobiology in Humans
Flora Moujaes, Katrin H. Preller, Jie Lisa Ji, et al.
Biological Psychiatry (2022) Vol. 93, Iss. 12, pp. 1061-1070
Open Access | Times Cited: 32
Schizophrenia: A developmental disorder with a risk of non-specific but avoidable decline
Robin M. Murray, Emre Bora, Gemma Modinos, et al.
Schizophrenia Research (2022) Vol. 243, pp. 181-186
Closed Access | Times Cited: 30
Predictors of transition in patients with clinical high risk for psychosis: an umbrella review
Christina Andreou, S. Eickhoff, Marco Heide, et al.
Translational Psychiatry (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 18
Neuroimaging Biomarkers for Drug Discovery and Development in Schizophrenia
Katrin H. Preller, Joachim Scholpp, Andreas Wunder, et al.
Biological Psychiatry (2024)
Open Access | Times Cited: 8
Machine learning applied to prediction of relapse, hospitalization, and suicide in bipolar disorder using neuroimaging and clinical data: A systematic review
Mobina Amanollahi, Melika Jameie, Mehdi Azizmohammad Looha, et al.
Journal of Affective Disorders (2024) Vol. 361, pp. 778-797
Closed Access | Times Cited: 7
A radiogenomics signature for predicting the clinical outcome of bladder urothelial carcinoma
Peng Lin, Dong‐yue Wen, Ling Chen, et al.
European Radiology (2019) Vol. 30, Iss. 1, pp. 547-557
Closed Access | Times Cited: 54
Psychopathology—a Precision Tool in Need of Re-sharpening
Frauke Schultze‐Lutter, Stefanie J. Schmidt, Anastasia Theodoridou
Frontiers in Psychiatry (2018) Vol. 9
Open Access | Times Cited: 51
Progress in psychoradiology, the clinical application of psychiatric neuroimaging
Xiaoqi Huang, Qiyong Gong, John A. Sweeney, et al.
British Journal of Radiology (2019) Vol. 92, Iss. 1101
Open Access | Times Cited: 50
The Future of Digital Psychiatry
Keith Hariman, Antonio Ventriglio, Dinesh Bhugra
Current Psychiatry Reports (2019) Vol. 21, Iss. 9
Closed Access | Times Cited: 50

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