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.

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Showing 1-25 of 34 citing articles:

Neurogenesis in aging and age-related neurodegenerative diseases
Luka Čulig, Xixia Chu, Vilhelm A. Bohr
Ageing Research Reviews (2022) Vol. 78, pp. 101636-101636
Open Access | Times Cited: 119

A review on omics-based biomarkers discovery for Alzheimer's disease from the bioinformatics perspectives: Statistical approach vs machine learning approach
Mei Sze Tan, Phaik‐Leng Cheah, Ai‐Vyrn Chin, et al.
Computers in Biology and Medicine (2021) Vol. 139, pp. 104947-104947
Closed Access | Times Cited: 49

Key Genes and Biochemical Networks in Various Brain Regions Affected in Alzheimer’s Disease
Morteza Abyadeh, Nahid Tofigh, Saeedeh Hosseinian, et al.
Cells (2022) Vol. 11, Iss. 6, pp. 987-987
Open Access | Times Cited: 29

A review and analysis of key biomarkers in Alzheimer’s disease
Zhihao Zhang, Xiangtao Liu, Suixia Zhang, et al.
Frontiers in Neuroscience (2024) Vol. 18
Open Access | Times Cited: 7

A splicing transcriptome-wide association study identifies novel altered splicing for Alzheimer's disease susceptibility
Yanfa Sun, Ye Eun Bae, Jingjing Zhu, et al.
Neurobiology of Disease (2023) Vol. 184, pp. 106209-106209
Open Access | Times Cited: 11

DECIPHERING THE ROLE OF miRNAs IN ALZHEIMER'S DISEASE: PREDICTIVE TARGETING AND PATHWAY MODULATION - A SYSTEMATIC REVIEW
Monika Sharma, Pankaj Pal, Sukesh Kumar Gupta
Ageing Research Reviews (2024) Vol. 101, pp. 102483-102483
Closed Access | Times Cited: 4

MultiCens: Multilayer network centrality measures to uncover molecular mediators of tissue-tissue communication
Tarun Kumar, Ramanathan Sethuraman, Sanga Mitra, et al.
PLoS Computational Biology (2023) Vol. 19, Iss. 4, pp. e1011022-e1011022
Open Access | Times Cited: 10

Exploring the Role of microRNAs as Blood Biomarkers in Alzheimer’s Disease and Frontotemporal Dementia
Irene Petracci, Sonia Bellini, Katarzyna Goljanek‐Whysall, et al.
International Journal of Molecular Sciences (2025) Vol. 26, Iss. 7, pp. 3399-3399
Open Access

Deep Learning-Based Feature Extraction with MRI Data in Neuroimaging Genetics for Alzheimer’s Disease
Dipnil Chakraborty, Zhong Zhuang, Haoran Xue, et al.
Genes (2023) Vol. 14, Iss. 3, pp. 626-626
Open Access | Times Cited: 8

Reversal of Calcium Dysregulation as Potential Approach for Treating Alzheimer's Disease
Елена Попугаева, Daria Chernyuk, Ilya Bezprozvanny
Current Alzheimer Research (2020) Vol. 17, Iss. 4, pp. 344-354
Open Access | Times Cited: 22

Identification of hub genes associated with cognition in the hippocampus of Alzheimer’s Disease
Yujia Liu, Tiantian Liu, Linhao Jiang, et al.
Bioengineered (2021) Vol. 12, Iss. 2, pp. 9598-9609
Open Access | Times Cited: 18

A Systematic Bioinformatics Workflow With Meta-Analytics Identified Potential Pathogenic Factors of Alzheimer’s Disease
Sze Chung Yuen, Hongmei Zhu, Siu-wai Leung
Frontiers in Neuroscience (2020) Vol. 14
Open Access | Times Cited: 15

Identification of blood-based transcriptomics biomarkers for Alzheimer's disease using statistical and machine learning classifier
Mohammad Abdullah, Yap Bee Wah, Abu Bakar Abdul Majeed, et al.
Informatics in Medicine Unlocked (2022) Vol. 33, pp. 101083-101083
Open Access | Times Cited: 9

Prediction of hub genes of Alzheimer’s disease using a protein interaction network and functional enrichment analysis
Jia Jin Wee, Suresh Kumar
Genomics & Informatics (2020) Vol. 18, Iss. 4, pp. e39-e39
Open Access | Times Cited: 13

Decipher reliable biomarkers of brain aging by integrating literature-based evidence with interactome data
Sang‐Hun Bae, Han Wool Kim, SeoJeong Shin, et al.
Experimental & Molecular Medicine (2018) Vol. 50, Iss. 4, pp. 1-15
Open Access | Times Cited: 12

RNA sequence analysis of dermal papilla cells’ regeneration in 3D culture
Guanyu Lin, Guoqian Yin, Jun Ye, et al.
Journal of Cellular and Molecular Medicine (2020) Vol. 24, Iss. 22, pp. 13421-13430
Open Access | Times Cited: 11

Recent Applications of Bioinformatics in Target Identification and Drug Discovery for Alzheimer’s Disease
Sushil Kumar Singh, Ashok Kumar, Ravi Bhushan Singh, et al.
Current Topics in Medicinal Chemistry (2022) Vol. 22, Iss. 26, pp. 2153-2175
Closed Access | Times Cited: 6

Detecting Brain Structure-Specific Methylation Signatures and Rules for Alzheimer’s Disease
Zhandong Li, Wei Guo, Tao Zeng, et al.
Frontiers in Neuroscience (2022) Vol. 16
Open Access | Times Cited: 5

MultiCens: Multilayer network centrality measures to uncover molecular mediators of tissue-tissue communication
Tarun Kumar, Ramanathan Sethuraman, Sanga Mitra, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 5

Alzheimer’s Disease-Related Genes Identified by Linking Spatial Patterns of Pathology and Gene Expression
Roger J. Mullins, Dimitrios Kapogiannis
Frontiers in Neuroscience (2022) Vol. 16
Open Access | Times Cited: 4

Applications and Challenges of Machine Learning Methods in Alzheimer's Disease Multi-Source Data Analysis
Xiong Li, Yangping Qiu, Juan Zhou, et al.
Current Genomics (2021) Vol. 22, Iss. 8, pp. 564-582
Open Access | Times Cited: 5

Identification of Alzheimer’s Disease Hub Genes Based on Improved HITS Algorithm
Qusay Kanaan Kadhim, Rasha Mahdi Abd ul kader, Atyaf Al-Tameemi, et al.
Journal of Kufa for Mathematics and Computer (2024) Vol. 11, Iss. 1, pp. 25-31
Open Access

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