OpenAlex Citation Counts

OpenAlex Citations Logo

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:

A novel multi-tissue RNA diagnostic of healthy ageing relates to cognitive health status
Sanjana Sood, Iain J. Gallagher, Katie Lunnon, et al.
Genome biology (2015) Vol. 16, Iss. 1
Open Access | Times Cited: 206

Showing 1-25 of 206 citing articles:

Limb proportions show developmental plasticity in response to embryo movement
Andrea S. Pollard, Bethany Charlton, John R. Hutchinson, et al.
Scientific Reports (2017) Vol. 7, Iss. 1
Open Access | Times Cited: 2193

Machine Learning on Human Muscle Transcriptomic Data for Biomarker Discovery and Tissue-Specific Drug Target Identification
Polina Mamoshina, Marina Volosnikova, Ivan V. Ozerov, et al.
Frontiers in Genetics (2018) Vol. 9
Open Access | Times Cited: 184

Omics sciences for systems biology in Alzheimer’s disease: State-of-the-art of the evidence
Harald Hampel, Robert Nisticò, Nicholas T. Seyfried, et al.
Ageing Research Reviews (2021) Vol. 69, pp. 101346-101346
Closed Access | Times Cited: 107

Change in the Rate of Biological Aging in Response to Caloric Restriction: CALERIE Biobank Analysis
Daniel W. Belsky, Kim M. Huffman, Carl F. Pieper, et al.
The Journals of Gerontology Series A (2017) Vol. 73, Iss. 1, pp. 4-10
Open Access | Times Cited: 161

The Longitudinal Study of Aging in Human Young Adults: Knowledge Gaps and Research Agenda
Terrie E. Moffitt, Daniel W. Belsky, Andrea Danese, et al.
The Journals of Gerontology Series A (2016) Vol. 72, Iss. 2, pp. 210-215
Open Access | Times Cited: 154

Depression as a risk factor for Alzheimer’s disease: Genes, steroids, cytokines and neurogenesis – What do we need to know?
J. Herbert, Paul J. Lucassen
Frontiers in Neuroendocrinology (2015) Vol. 41, pp. 153-171
Open Access | Times Cited: 135

Machine learning to detect signatures of disease in liquid biopsies – a user's guide
Jina Ko, Steven N. Baldassano, Po‐Ling Loh, et al.
Lab on a Chip (2017) Vol. 18, Iss. 3, pp. 395-405
Open Access | Times Cited: 130

Genetic and epigenetic regulation of human aging and longevity
Brian J. Morris, Bradley J. Willcox, Timothy A. Donlon
Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease (2018) Vol. 1865, Iss. 7, pp. 1718-1744
Open Access | Times Cited: 121

Prediction of Alzheimer’s disease using blood gene expression data
Taesic Lee, Hyunju Lee
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 109

SIRT1, miR-132 and miR-212 link human longevity to Alzheimer’s Disease
Adva Hadar, Elena Milanesi, Marta Walczak, et al.
Scientific Reports (2018) Vol. 8, Iss. 1
Open Access | Times Cited: 108

Analysis of long noncoding RNAs highlights region-specific altered expression patterns and diagnostic roles in Alzheimer’s disease
Meng Zhou, Hengqiang Zhao, Xinyu Wang, et al.
Briefings in Bioinformatics (2018) Vol. 20, Iss. 2, pp. 598-608
Closed Access | Times Cited: 90

Towards understanding and predicting suicidality in women: biomarkers and clinical risk assessment
Daniel F. Levey, E M Niculescu, H Le-Niculescu, et al.
Molecular Psychiatry (2016) Vol. 21, Iss. 6, pp. 768-785
Open Access | Times Cited: 88

Skeletal muscle transcriptome in healthy aging
Robert A. Tumasian, Abhinav Harish, Gautam Kundu, et al.
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 87

Transcriptomics-Based Screening Identifies Pharmacological Inhibition of Hsp90 as a Means to Defer Aging
Georges E. Janssens, Xin-Xuan Lin, Lluís Millán-Ariño, et al.
Cell Reports (2019) Vol. 27, Iss. 2, pp. 467-480.e6
Open Access | Times Cited: 86

Gene co-expression in the interactome: moving from correlation toward causation via an integrated approach to disease module discovery
Paola Paci, Giulia Fiscon, Federica Conte, et al.
npj Systems Biology and Applications (2021) Vol. 7, Iss. 1
Open Access | Times Cited: 77

Identification of diagnostic genes for both Alzheimer’s disease and Metabolic syndrome by the machine learning algorithm
Jinwei Li, Yang Zhang, Tanli Lu, et al.
Frontiers in Immunology (2022) Vol. 13
Open Access | Times Cited: 45

Systematic Analysis and Biomarker Study for Alzheimer’s Disease
Xinzhong Li, Haiyan Wang, Jintao Long, et al.
Scientific Reports (2018) Vol. 8, Iss. 1
Open Access | Times Cited: 71

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

Identification and Validation of Aging-Related Genes in Alzheimer’s Disease
Qian Zhang, Li J, Ling Weng
Frontiers in Neuroscience (2022) Vol. 16
Open Access | Times Cited: 29

An integrative machine-learning meta-analysis of high-throughput omics data identifies age-specific hallmarks of Alzheimer’s disease
Maxim N. Shokhirev, Adiv A. Johnson
Ageing Research Reviews (2022) Vol. 81, pp. 101721-101721
Open Access | Times Cited: 29

Systemic alterations of tricarboxylic acid cycle enzymes in Alzheimer’s disease
Dongdong Jia, Fangzhou Wang, Haitao Yu
Frontiers in Neuroscience (2023) Vol. 17
Open Access | Times Cited: 17

Using blood transcriptome analysis for Alzheimer's disease diagnosis and patient stratification
Huan Zhong, Xiaopu Zhou, Hyebin Uhm, et al.
Alzheimer s & Dementia (2024) Vol. 20, Iss. 4, pp. 2469-2484
Open Access | Times Cited: 6

Recent developments in using mechanistic cardiac modelling for drug safety evaluation
Mark Davies, Ken Wang, Gary R. Mirams, et al.
Drug Discovery Today (2016) Vol. 21, Iss. 6, pp. 924-938
Open Access | Times Cited: 60

A coding and non-coding transcriptomic perspective on the genomics of human metabolic disease
James A. Timmons, Philip J. Atherton, Ola Larsson, et al.
Nucleic Acids Research (2018) Vol. 46, Iss. 15, pp. 7772-7792
Open Access | Times Cited: 57

Page 1 - Next Page

Scroll to top