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:

A Pattern of Cognitive Deficits Stratified for Genetic and Environmental Risk Reliably Classifies Patients With Schizophrenia From Healthy Control Subjects
Linda A. Antonucci, Giulio Pergola, Alessandro Pigoni, et al.
Biological Psychiatry (2019) Vol. 87, Iss. 8, pp. 697-707
Closed Access | Times Cited: 41

Showing 26-50 of 41 citing articles:

An Ensemble of Psychological and Physical Health Indices Discriminates Between Individuals with Chronic Pain and Healthy Controls with High Reliability: A Machine Learning Study
Linda A. Antonucci, Alessandro Taurino, Domenico Laera, et al.
Pain and Therapy (2020) Vol. 9, Iss. 2, pp. 601-614
Open Access | Times Cited: 10

The impact of ovariectomy and chronic estrogen treatment on gene expression in the rat cortex: Implications for psychiatric disorders
Brian Dean, Andrea Gogos
Psychoneuroendocrinology (2021) Vol. 127, pp. 105192-105192
Closed Access | Times Cited: 9

Sex‐differential associations between cognitive impairments and white matter abnormalities in first episode and drug‐naïve schizophrenia
Mi Yang, Shan Gao, Weisen Xiong, et al.
Early Intervention in Psychiatry (2020) Vol. 15, Iss. 5, pp. 1179-1187
Closed Access | Times Cited: 8

Association analysis of risk genes identified by SCHEMA with schizophrenia in the Chinese Han population
Guo Ai-guo, Peng Lun, Jianhua Chen, et al.
Psychiatric Genetics (2022) Vol. 32, Iss. 5, pp. 188-193
Closed Access | Times Cited: 5

Neuropsychological features in patients with severe mental disorders and risk of violence: A prospective multicenter study in Italy
Elena Gobbi, Maria Cotelli, Rosa Manenti, et al.
Psychiatry Research (2020) Vol. 289, pp. 113027-113027
Closed Access | Times Cited: 6

Clinical and psychological factors associated with resilience in patients with schizophrenia: data from the Italian network for research on psychoses using machine learning
Linda A. Antonucci, Giulio Pergola, Antonio Rampino, et al.
Psychological Medicine (2022) Vol. 53, Iss. 12, pp. 5717-5728
Closed Access | Times Cited: 4

Strategies for Psychiatric Rehabilitation and their Cognitive Outcomes in Schizophrenia: Review of Last Five-year Studies
Antonio Rampino, Rosa Falcone, Arianna Giannuzzi, et al.
Clinical Practice and Epidemiology in Mental Health (2021) Vol. 17, Iss. 1, pp. 31-47
Open Access | Times Cited: 4

Pattern of predictive features of continued cannabis use in patients with recent-onset psychosis and clinical high-risk for psychosis
Nora Penzel, Rachele Sanfelici, Linda A. Antonucci, et al.
Schizophrenia (2022) Vol. 8, Iss. 1
Open Access | Times Cited: 3

Importance of GWAS Risk Loci and Clinical Data in Predicting Asthma Using Machine-learning Approaches
Zan-Mei Qin, Siqiao Liang, Jianxiong Long, et al.
Combinatorial Chemistry & High Throughput Screening (2023) Vol. 27, Iss. 3, pp. 400-407
Open Access | Times Cited: 1

Unveiling the potential of machine learning in schizophrenia diagnosis: A meta‐analytic study of task‐based neuroimaging data
Xuan Wang, Chao Yan, Pengyuan Yang, et al.
Psychiatry and Clinical Neurosciences (2023) Vol. 78, Iss. 3, pp. 157-168
Closed Access | Times Cited: 1

Personality changes during adolescence predict young adult psychosis proneness and mediate gene–environment interplays of schizophrenia risk
Linda A. Antonucci, Alessandra Raio, Gianluca Christos Kikidis, et al.
Psychological Medicine (2024) Vol. 54, Iss. 14, pp. 3838-3848
Open Access

On most informative regions for binary classification of schizophrenia based on resting state fMRI data done by selection of functionally homogeneous regions method
Artur Zhemchuzhnikov, Sergey Kartashov, Stanislav Kozlov, et al.
Журнал высшей нервной деятельности им И П Павлова (2024) Vol. 74, Iss. 4, pp. 412-425
Closed Access

Association of gene polymorphisms DRD3 rs6280, COMT rs4680 and HTR2A rs7322347 with schizophrenia
А. Г. Софронов, A. E. Dobrovolskaya, Аnna Morozova, et al.
S S Korsakov Journal of Neurology and Psychiatry (2022) Vol. 122, Iss. 7, pp. 115-115
Closed Access | Times Cited: 1

Association of Gene Polymorphisms DRD3 rs6280, COMT rs4680, and HTR2A rs7322347 with Schizophrenia
А. Г. Софронов, A. E. Dobrovolskaya, Аnna Morozova, et al.
Neuroscience and Behavioral Physiology (2023) Vol. 53, Iss. 3, pp. 313-318
Closed Access

APPLICATION OF MACHINE LEARNING TECHNIQUES FOR DISTINGUISHING SCHIZOPHRENIA PATIENTS FROM HEALTHY SUBJECTS USING FRONTAL LOBE FUNCTIONS ASSESSMENTS
Denisas Dankinas, Elzbieta Budginaitė, Sigita Mėlynytė, et al.
Health Sciences (2023) Vol. 33, Iss. 5, pp. 158-162
Open Access

Association analysis of potentially functional variants within 8p12 with schizophrenia in the Han Chinese population
Ruirui Chen, Jianhua Chen, Chengwen Gao, et al.
The World Journal of Biological Psychiatry (2020) Vol. 22, Iss. 1, pp. 27-33
Closed Access

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