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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:

Genome-wide microarray analysis of gene expression profiling in major depression and antidepressant therapy
Eugene Lin, Shih‐Jen Tsai
Progress in Neuro-Psychopharmacology and Biological Psychiatry (2015) Vol. 64, pp. 334-340
Closed Access | Times Cited: 54

Showing 1-25 of 54 citing articles:

Replicable and Coupled Changes in Innate and Adaptive Immune Gene Expression in Two Case-Control Studies of Blood Microarrays in Major Depressive Disorder
Gwenaël G. R. Leday, Petra E. Vértes, Sylvia Richardson, et al.
Biological Psychiatry (2017) Vol. 83, Iss. 1, pp. 70-80
Open Access | Times Cited: 189
Machine learning and systems genomics approaches for multi-omics data
Eugene Lin, Hsien‐Yuan Lane
Biomarker Research (2017) Vol. 5, Iss. 1
Open Access | Times Cited: 172
A Deep Learning Approach for Predicting Antidepressant Response in Major Depression Using Clinical and Genetic Biomarkers
Eugene Lin, Po‐Hsiu Kuo, Yu-Li Liu, et al.
Frontiers in Psychiatry (2018) Vol. 9
Open Access | Times Cited: 163
Precision Psychiatry Applications with Pharmacogenomics: Artificial Intelligence and Machine Learning Approaches
Eugene Lin, Chieh‐Hsin Lin, Hsien‐Yuan Lane
International Journal of Molecular Sciences (2020) Vol. 21, Iss. 3, pp. 969-969
Open Access | Times Cited: 121
Molecular Mechanism for Stress-Induced Depression Assessed by Sequencing miRNA and mRNA in Medial Prefrontal Cortex
Ke Ma, Li Guo, Aiping Xu, et al.
PLoS ONE (2016) Vol. 11, Iss. 7, pp. e0159093-e0159093
Open Access | Times Cited: 77
Epigenetics and Depression: An Update
Eugene Lin, Shih‐Jen Tsai
Psychiatry Investigation (2019) Vol. 16, Iss. 9, pp. 654-661
Open Access | Times Cited: 56
DNA Methylation as a Biomarker of Treatment Response Variability in Serious Mental Illnesses: A Systematic Review Focused on Bipolar Disorder, Schizophrenia, and Major Depressive Disorder
Alladi Charanraj Goud, Bruno Étain, Frank Bellivier, et al.
International Journal of Molecular Sciences (2018) Vol. 19, Iss. 10, pp. 3026-3026
Open Access | Times Cited: 57
Identification Hub Genes in Colorectal Cancer by Integrating Weighted Gene Co-Expression Network Analysis and Clinical Validation in vivo and vitro
Yihang Yuan, Chen Ji, Jue Wang, et al.
Frontiers in Oncology (2020) Vol. 10
Open Access | Times Cited: 41
A comprehensive regional analysis of genome-wide expression profiles for major depressive disorder
Diego A. Forero, Gina P. Guio-Vega, Yeimy González‐Giraldo
Journal of Affective Disorders (2017) Vol. 218, pp. 86-92
Closed Access | Times Cited: 40
Differentially expressed genes related to major depressive disorder and antidepressant response: genome-wide gene expression analysis
Hye In Woo, Shinn‐Won Lim, Woojae Myung, et al.
Experimental & Molecular Medicine (2018) Vol. 50, Iss. 8, pp. 1-11
Open Access | Times Cited: 40
Translational bioinformatics and data science for biomarker discovery in mental health: an analytical review
Krithika Bhuvaneshwar, Yuriy Gusev
Briefings in Bioinformatics (2024) Vol. 25, Iss. 2
Open Access | Times Cited: 4
Genetic Biomarkers on Age-Related Cognitive Decline
Chieh‐Hsin Lin, Eugene Lin, Hsien‐Yuan Lane
Frontiers in Psychiatry (2017) Vol. 8
Open Access | Times Cited: 37
Blood-based gene expression signatures of medication-free outpatients with major depressive disorder: integrative genome-wide and candidate gene analyses
Hiroaki Hori, Daimei Sasayama, Toshiya Teraishi, et al.
Scientific Reports (2016) Vol. 6, Iss. 1
Open Access | Times Cited: 34
Differential gene expression in brain and peripheral tissues in depression across the life span: A review of replicated findings
Liliana G Ciobanu, Perminder S. Sachdev, Julian N. Trollor, et al.
Neuroscience & Biobehavioral Reviews (2016) Vol. 71, pp. 281-293
Open Access | Times Cited: 33
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
New insights into effects of Kaixin Powder on depression via lipid metabolism related adiponectin signaling pathway
Wenshan Yang, Hong Yin, Yichen Wang, et al.
Chinese Herbal Medicines (2023) Vol. 15, Iss. 2, pp. 240-250
Open Access | Times Cited: 11
Ingestion of taxifolin-rich foods affects brain activity, mental fatigue, and the whole blood transcriptome in healthy young adults: a randomized, double-blind, placebo-controlled, crossover study
Fumika Shinozaki, Asuka Kamei, Kousuke Shimada, et al.
Food & Function (2023) Vol. 14, Iss. 8, pp. 3600-3612
Open Access | Times Cited: 10
miR‐4454 Promotes Hepatic Carcinoma Progression by Targeting Vps4A and Rab27A
Haoming Lin, Rui Zhang, Wenrui Wu, et al.
Oxidative Medicine and Cellular Longevity (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 22
Identifying a gene expression signature of cluster headache in blood
Else Eising, Nadine Pelzer, Lisanne S. Vijfhuizen, et al.
Scientific Reports (2017) Vol. 7, Iss. 1
Open Access | Times Cited: 25
Bioinformatics: Basics, Development, and Future
Ibrokhim Y. Abdurakhmonov
InTech eBooks (2016)
Open Access | Times Cited: 24
Gene-Environment Interactions and Role of Epigenetics in Anxiety Disorders
Eugene Lin, Shih‐Jen Tsai
Advances in experimental medicine and biology (2020), pp. 93-102
Closed Access | Times Cited: 23
Machine Learning and Deep Learning for the Pharmacogenomics of Antidepressant Treatments
Eugene Lin, Chieh‐Hsin Lin, Hsien‐Yuan Lane
Clinical Psychopharmacology and Neuroscience (2021) Vol. 19, Iss. 4, pp. 577-588
Open Access | Times Cited: 20
Whole-genome expression analysis reveals genes associated with treatment response to escitalopram in major depression
Kristi Pettai, Lili Milani, Anu Tammiste, et al.
European Neuropsychopharmacology (2016) Vol. 26, Iss. 9, pp. 1475-1483
Closed Access | Times Cited: 23
Changed cortical risk gene expression in major depression and shared changes in cortical gene expression between major depression and bipolar disorders
Elizabeth Scarr, Madhara Udawela, Brian Dean
Australian & New Zealand Journal of Psychiatry (2019) Vol. 53, Iss. 12, pp. 1189-1198
Open Access | Times Cited: 22
Integrating genetics and transcriptomics to study major depressive disorder: a conceptual framework, bioinformatic approaches, and recent findings
Emily M. Hicks, Carina Seah, Alanna C. Cote, et al.
Translational Psychiatry (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 7
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