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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:

Predisposition to treatment response in major depressive episode: A peripheral blood gene coexpression network analysis
Raoul Belzeaux, Chien‐Wei Lin, Ying Ding, et al.
Journal of Psychiatric Research (2016) Vol. 81, pp. 119-126
Closed Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

Sex-specific transcriptional signatures in human depression
Benoît Labonté, Olivia Engmann, Immanuel Purushothaman, et al.
Nature Medicine (2017) Vol. 23, Iss. 9, pp. 1102-1111
Open Access | Times Cited: 650
Applications of machine learning algorithms to predict therapeutic outcomes in depression: A meta-analysis and systematic review
Yena Lee, Renee‐Marie Ragguett, Rodrigo B. Mansur, et al.
Journal of Affective Disorders (2018) Vol. 241, pp. 519-532
Closed Access | Times Cited: 353
Effects of Antidepressant Treatment on Neurotrophic Factors (BDNF and IGF-1) in Patients with Major Depressive Disorder (MDD)
Anna Mosiołek, Jadwiga Mosiołek, Sławomir Jakima, et al.
Journal of Clinical Medicine (2021) Vol. 10, Iss. 15, pp. 3377-3377
Open Access | Times Cited: 58
Global long non-coding RNA expression in the rostral anterior cingulate cortex of depressed suicides
Yi Zhou, Pierre‐Eric Lutz, Yu Chang Wang, et al.
Translational Psychiatry (2018) Vol. 8, Iss. 1
Open Access | Times Cited: 68
Investigation of miR-1202, miR-135a, and miR-16 in Major Depressive Disorder and Antidepressant Response
Laura M. Fiori, Juan Pablo López, Stéphane Richard‐Devantoy, et al.
The International Journal of Neuropsychopharmacology (2017) Vol. 20, Iss. 8, pp. 619-623
Open Access | Times Cited: 63
Predicting therapy outcome in a digital mental health intervention for depression and anxiety: A machine learning approach
Silvan Hornstein, Valerie L. Forman‐Hoffman, Albert Nazander, et al.
Digital Health (2021) Vol. 7
Open Access | Times Cited: 44
The emergence, implementation, and future growth of pharmacogenomics in psychiatry: a narrative review
Chad A. Bousman, Abdullah Al Maruf, Diogo Marques, et al.
Psychological Medicine (2023) Vol. 53, Iss. 16, pp. 7983-7993
Open Access | Times Cited: 21
microRNA profiling in atherosclerosis, diabetes, and migraine
Claudio Tana, Maria Adele Giamberardino, Francesco Cipollone
Annals of Medicine (2016) Vol. 49, Iss. 2, pp. 93-105
Closed Access | Times Cited: 51
MicroRNAs as Diagnostic Biomarkers and Predictors of Antidepressant Response in Major Depressive Disorder: A Systematic Review
Beatriz A Carneiro, Lívia N. F. Guerreiro‐Costa, Daniel H. Lins-Silva, et al.
Cureus (2024)
Open Access | Times Cited: 4
Potential Use of MicroRNA for Monitoring Therapeutic Response to Antidepressants
Raoul Belzeaux, Rixing Lin, Gustavo Turecki
CNS Drugs (2017) Vol. 31, Iss. 4, pp. 253-262
Closed Access | Times Cited: 39
Recent advances in predicting responses to antidepressant treatment
Thomas Frodl
F1000Research (2017) Vol. 6, pp. 619-619
Open Access | Times Cited: 36
Co-expression network modeling identifies key long non-coding RNA and mRNA modules in altering molecular phenotype to develop stress-induced depression in rats
Qingzhong Wang, Bhaskar Roy, Yogesh Dwivedi
Translational Psychiatry (2019) Vol. 9, Iss. 1
Open Access | Times Cited: 35
Transcriptomic and epigenomic biomarkers of antidepressant response
Raoul Belzeaux, Rixing Lin, Chelsey Ju, et al.
Journal of Affective Disorders (2017) Vol. 233, pp. 36-44
Open Access | Times Cited: 34
miRNAs in depression vulnerability and resilience: novel targets for preventive strategies
Nicola Lopizzo, Valentina Zonca, Nadia Cattane, et al.
Journal of Neural Transmission (2019) Vol. 126, Iss. 9, pp. 1241-1258
Open Access | Times Cited: 34
Multiple Pre-Treatment miRNAs Levels in Untreated Major Depressive Disorder Patients Predict Early Response to Antidepressants and Interact with Key Pathways
Masaki Kato, Haruhiko Ogata, Hidetoshi Tahara, et al.
International Journal of Molecular Sciences (2022) Vol. 23, Iss. 7, pp. 3873-3873
Open Access | Times Cited: 17
Differential Peripheral Proteomic Biosignature of Fluoxetine Response in a Mouse Model of Anxiety/Depression
Indira Mendez‐David, Céline Boursier, Valérie Domergue, et al.
Frontiers in Cellular Neuroscience (2017) Vol. 11
Open Access | Times Cited: 31
MicroRNAs in Major Depressive Disorder
Gabriel R. Fries, Wei Zhang, Deborah Benevenuto, et al.
Advances in experimental medicine and biology (2019), pp. 175-190
Closed Access | Times Cited: 28
Predicting treatment effects in unipolar depression: A meta-review
George Gillett, Anneka Tomlinson, Orestis Efthimiou, et al.
Pharmacology & Therapeutics (2020) Vol. 212, pp. 107557-107557
Open Access | Times Cited: 23
Transcriptional biomarkers of response to pharmacological treatments in severe mental disorders: A systematic review
Claudia Pisanu, Giovanni Severino, Ilario De Toma, et al.
European Neuropsychopharmacology (2022) Vol. 55, pp. 112-157
Closed Access | Times Cited: 10
Weighted gene co-expression network analysis identifies specific modules and hub genes related to subsyndromal symptomatic depression
Ruijie Geng, Zezhi Li, Shunying Yu, et al.
The World Journal of Biological Psychiatry (2018) Vol. 21, Iss. 2, pp. 102-110
Closed Access | Times Cited: 13
Study of the in vitro modulation exerted by the antidepressant drug escitalopram on the expression of candidate microRNAs and their target genes
Elisabetta Maffioletti, Alessandro Salvi, Isabel Conde, et al.
Molecular and Cellular Neuroscience (2017) Vol. 85, pp. 220-225
Closed Access | Times Cited: 11
Time Course of Changes in Peripheral Blood Gene Expression During Medication Treatment for Major Depressive Disorder
Ian A. Cook, Eliza Congdon, David E. Krantz, et al.
Frontiers in Genetics (2019) Vol. 10
Open Access | Times Cited: 7
Co-Expression Network Modeling Identifies Specific Inflammation and Neurological Disease-Related Genes mRNA Modules in Mood Disorder
Chunxia Yang, Kun Zhang, Ai‐Xia Zhang, et al.
Frontiers in Genetics (2022) Vol. 13
Open Access | Times Cited: 3
An integrated precision medicine approach in major depressive disorder: a study protocol to create a new algorithm for the prediction of treatment response
Bernhard T. Baune, Alessandra Minelli, Bernardo Carpiniello, et al.
Frontiers in Psychiatry (2024) Vol. 14
Open Access
Identification of Biomarkers for Anxious Depression on a Large Scale: Utilizing Cortical Hemodynamic Response in Machine Learning
Yan Zhang, Yawen Xu, Huifen Wu, et al.
(2024)
Closed Access
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