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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:

Vitamin D and Folate as Predictors of MMSE in Alzheimer’s Disease: A Machine Learning Analysis
Giuseppe Murdaca, Sara Banchero, Alessandro Tonacci, et al.
Diagnostics (2021) Vol. 11, Iss. 6, pp. 940-940
Open Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

Blood-Based Biomarkers for Alzheimer’s Disease Diagnosis and Progression: An Overview
Angelica Varesi, Adelaide Carrara, Vitor Gomes Pires, et al.
Cells (2022) Vol. 11, Iss. 8, pp. 1367-1367
Open Access | Times Cited: 79
Establishment and validation of HPLC methods for the determination of folic acid and parabens antimicrobial agents on folic acid oral solution
Wen-Hong Wu, Ying Liang, Renbang Zhao, et al.
BMC Chemistry (2025) Vol. 19, Iss. 1
Open Access | Times Cited: 1
A novel deep learning approach for diagnosing Alzheimer's disease based on eye-tracking data
Jinglin Sun, Yu Liu, Hao Wu, et al.
Frontiers in Human Neuroscience (2022) Vol. 16
Open Access | Times Cited: 28
A machine learning analysis to predict the response to intravenous and subcutaneous immunoglobulin in inflammatory myopathies. A proposal for a future multi-omics approach in autoimmune diseases
Maria Giovanna Danieli, Alessandro Tonacci, Alberto Paladini, et al.
Autoimmunity Reviews (2022) Vol. 21, Iss. 6, pp. 103105-103105
Closed Access | Times Cited: 26
Perspectives on Neuronutrition in Prevention and Treatment of Neurological Disorders
Anastasiia Badaeva, A B Danilov, Paul Clayton, et al.
Nutrients (2023) Vol. 15, Iss. 11, pp. 2505-2505
Open Access | Times Cited: 15
Vitamin D: An Essential Nutrient in the Dual Relationship between Autoimmune Thyroid Diseases and Celiac Disease—A Comprehensive Review
Francesca Gorini, Alessandro Tonacci
Nutrients (2024) Vol. 16, Iss. 11, pp. 1762-1762
Open Access | Times Cited: 6
The Role of Micronutrients in Neurological Disorders
Helena Brodská, Jiří Klempíř, Jan Závora, et al.
Nutrients (2023) Vol. 15, Iss. 19, pp. 4129-4129
Open Access | Times Cited: 13
Biomarkers of Micronutrients and Phytonutrients and Their Application in Epidemiological Studies
Jianheng Zheng, Feng Wu, Feijie Wang, et al.
Nutrients (2023) Vol. 15, Iss. 4, pp. 970-970
Open Access | Times Cited: 10
Prediction of cognitive performance differences in older age from multimodal neuroimaging data
Camilla Krämer, Johanna Stumme, Lucas da Costa Campos, et al.
GeroScience (2023) Vol. 46, Iss. 1, pp. 283-308
Open Access | Times Cited: 10
Prediction of Verbal Abilities From Brain Connectivity Data Across the Lifespan Using a Machine Learning Approach
Deborah Früh, Camilla Mendl-Heinisch, Nóra Bittner, et al.
Human Brain Mapping (2025) Vol. 46, Iss. 5
Open Access
Say hello to my little friend… micronutraceuticals in neuroenergetics, neuronal health, and neurodegenerative diseases
Shayne Mason
Frontiers in Neuroscience (2025) Vol. 19
Open Access
Explainable AI and transformer models: Unraveling the nutritional influences on Alzheimer's disease mortality
Ziming Liu, Longjian Liu, R. Eric Heidel, et al.
Smart Health (2024) Vol. 32, pp. 100478-100478
Open Access | Times Cited: 3
Association Between Serum Vitamins and the Risk of Alzheimer’s Disease in Chinese Population
Xixi Liu, Pengfei Wu, Yingzi Liu, et al.
Journal of Alzheimer s Disease (2021) Vol. 85, Iss. 2, pp. 829-836
Closed Access | Times Cited: 18
The Use of Artificial Intelligence to Analyze the Exposome in the Development of Chronic Diseases: A Review of the Current Literature
S. Isola, Giuseppe Murdaca, Silvia Brunetto, et al.
Informatics (2024) Vol. 11, Iss. 4, pp. 86-86
Open Access | Times Cited: 2
A Machine Learning Application to Predict Early Lung Involvement in Scleroderma: A Feasibility Evaluation
Giuseppe Murdaca, Simone Caprioli, Alessandro Tonacci, et al.
Diagnostics (2021) Vol. 11, Iss. 10, pp. 1880-1880
Open Access | Times Cited: 16
Role of micronutrients in Alzheimer's disease: Review of available evidence
Fei Hong-xin, Chao-Fan Qian, Xiang-Mei Wu, et al.
World Journal of Clinical Cases (2022) Vol. 10, Iss. 22, pp. 7631-7641
Open Access | Times Cited: 9
Supervised Parametric Learning in the Identification of Composite Biomarker Signatures of Type 1 Diabetes in Integrated Parallel Multi-Omics Datasets
J. T. Bonnell, Óscar Garnica, B.M. Watts, et al.
Biomedicines (2024) Vol. 12, Iss. 3, pp. 492-492
Open Access | Times Cited: 1
Intelligent prediction of Alzheimer’s disease via improved multifeature squeeze-and-excitation-dilated residual network
Zengbei Yuan, Xinlin Li, Zezhou Hao, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Enhanced ROS Production and Mitochondrial Metabolic Shifts in CD4+ T Cells of an Autoimmune Uveitis Model
Ronja Söth, Anne Lisbeth Hoffmann, Cornelia A. Deeg
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 21, pp. 11513-11513
Open Access | Times Cited: 1
Potential Predictors for Cognitive Decline in Vascular Dementia: A Machine Learning Analysis
Giuseppe Murdaca, Sara Banchero, Marco Casciaro, et al.
Processes (2022) Vol. 10, Iss. 10, pp. 2088-2088
Open Access | Times Cited: 6
m-Health of Nutrition: Improving Nutrition Services with Smartphone and Machine Learning
Yu Liu, Huaiyan Jiang, Yumei Qi, et al.
Mobile Information Systems (2023) Vol. 2023, pp. 1-14
Open Access | Times Cited: 3
Differential predictability of cognitive profiles from brain structure in older males and females
Christiane Jockwitz, Camilla Krämer, Paulo R. Dellani, et al.
GeroScience (2023) Vol. 46, Iss. 2, pp. 1713-1730
Open Access | Times Cited: 3
Vitamin D Deficiency Detection: A Novel Ensemble Approach with Interpretability Insights
Md. Fahim Ul Islam, Mehedi Hasan, Md.Tahmid Rahman, et al.
(2024), pp. 137-142
Closed Access
Introduction to Clinical Applications of Biomolecules in Disease Diagnosis
Pankaj K. Singh, Fareha Rayeen, Neelam Pathak, et al.
(2024), pp. 1-21
Closed Access
Investigation of the Role of the Microbiome in the Development of Alzheimer’s Disease Using Machine Learning Techniques
Jasminka Hasić Telalović, Džana Bašić-Čičak, Ahmed Osmanović
Lecture notes in networks and systems (2022), pp. 639-649
Closed Access | Times Cited: 1
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