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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:

Importance of immunometabolic markers for the classification of patients with major depressive disorder using machine learning
Yolanda Sánchez‐Carro, Alejandro de la Torre‐Luque, Itziar Leal‐Leturia, et al.
Progress in Neuro-Psychopharmacology and Biological Psychiatry (2022) Vol. 121, pp. 110674-110674
Open Access | Times Cited: 15

Showing 15 citing articles:

Artificial Intelligence in Psychiatry: A Review of Biological and Behavioral Data Analyses
Ismail BAYDİLİ, Burak Taşçı, Gülay TAŞCI
Diagnostics (2025) Vol. 15, Iss. 4, pp. 434-434
Open Access | Times Cited: 4
Electroencephalography-Based Depression Detection Using Multiple Machine Learning Techniques
Amel Ksibi, Mohammed Zakariah, Leila Jamel, et al.
Diagnostics (2023) Vol. 13, Iss. 10, pp. 1779-1779
Open Access | Times Cited: 34
Sex differences in the inflammation-depression link: A systematic review and meta-analysis
Dana A. Jarkas, Ally H. Villeneuve, Ayeila Z.B. Daneshmend, et al.
Brain Behavior and Immunity (2024) Vol. 121, pp. 257-268
Open Access | Times Cited: 12
Differentiating melancholic and non-melancholic depression via biological markers: A review
Michael J. Spoelma, Anastasia Serafimovska, Gordon Parker
The World Journal of Biological Psychiatry (2023) Vol. 24, Iss. 9, pp. 761-810
Open Access | Times Cited: 11
Haematological markers of inflammation in major depressive disorder (MDD) patients with suicidal behaviour: A systematic review and meta-analysis
Reza Moshfeghinia, Kiarash Kavari, Sara Mostafavi, et al.
Journal of Affective Disorders (2025)
Closed Access
Prevalence and correlates of suicide attempts in working-age, first-episode, drug-naïve major depressive disorder patients
Liyan Wang, Qinfeng Xiao, Changwei Hu, et al.
Research Square (Research Square) (2025)
Closed Access
Biological correlates of treatment resistant depression: a review of peripheral biomarkers
Emiliana Mancuso, Gaia Sampogna, Alessia Boiano, et al.
Frontiers in Psychiatry (2023) Vol. 14
Open Access | Times Cited: 9
Inflammatory biomarkers in depression: scoping review
Walter Paganin, Sabrina Signorini
BJPsych Open (2024) Vol. 10, Iss. 5
Open Access | Times Cited: 3
Association between triglyceride and depression: A systematic review and meta-analysis
Di-Ru Xu, Gao Xi, Libo Zhao, et al.
PLoS ONE (2024) Vol. 19, Iss. 10, pp. e0311625-e0311625
Open Access | Times Cited: 2
Effects of elevated emotional symptoms on metabolic disease development: a 10-year follow-up study
Yolanda Sánchez‐Carro, Alejandro de la Torre‐Luque, Christina Vassou, et al.
Frontiers in Psychiatry (2023) Vol. 14
Open Access | Times Cited: 2
Machine Learning for the Prediction of Depression Progression from Inflammation Markers
Hind Abdulla, Maher Maalouf, Herbert F. Jelinek
2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (2023)
Closed Access | Times Cited: 1
Exploring the Nexus of Inflammation, Depression and Pancreatic Cancer Through Machine Learning (Preprint)
Yang-Chen Shen, Po I Wu, Pisin Chen, et al.
(2024)
Closed Access
Future prospects of charnolosome in evidence-based personalized nanotheranostics
Sushil K. Sharma
Elsevier eBooks (2024), pp. 757-793
Closed Access
Using a Classifier Ensemble for Preventing Burnout in University Students: A Study Case in Valparaíso
Larraín Gonzalo, Nicolás Rojas-Morales, Gonzalez Nicolás, et al.
IEEE Access (2023) Vol. 11, pp. 116235-116254
Open Access
Depression Detection Using Blood Cortisol Levels with Machine Learning Algorithms
Minakshee Patil, Prachi Mukherji, Vijay M. Wadhai
(2023), pp. 1-5
Closed Access
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