Open Access Helper

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:

Metabolomic profiles predict individual multidisease outcomes
Thore Buergel, Jakob Steinfeldt, Greg Ruyoga, et al.
Nature Medicine (2022) Vol. 28, Iss. 11, pp. 2309-2320
Open Access | Times Cited: 229

Showing 1-25 of 229 citing articles:

Dementia prevention, intervention, and care: 2024 report of the Lancet standing Commission
Gill Livingston, Jonathan Huntley, Kathy Liu, et al.
The Lancet (2024) Vol. 404, Iss. 10452, pp. 572-628
Closed Access | Times Cited: 619
Atlas of plasma NMR biomarkers for health and disease in 118,461 individuals from the UK Biobank
Heli Julkunen, Anna Cichońska, Mika Tiainen, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 238
A physicochemical-sensing electronic skin for stress response monitoring
Changhao Xu, Yu Song, Juliane R. Sempionatto, et al.
Nature Electronics (2024) Vol. 7, Iss. 2, pp. 168-179
Open Access | Times Cited: 133
Validation of biomarkers of aging
Mahdi Moqri, Chiara Herzog, Jesse R. Poganik, et al.
Nature Medicine (2024) Vol. 30, Iss. 2, pp. 360-372
Open Access | Times Cited: 115
Artificial intelligence-powered electronic skin
Changhao Xu, Samuel A. Solomon, Wei Gao
Nature Machine Intelligence (2023) Vol. 5, Iss. 12, pp. 1344-1355
Open Access | Times Cited: 96
Inter-organ crosstalk during development and progression of type 2 diabetes mellitus
Georgia Xourafa, Melis Korbmacher, Michael Roden
Nature Reviews Endocrinology (2023) Vol. 20, Iss. 1, pp. 27-49
Open Access | Times Cited: 95
Comprehensive investigation of pathway enrichment methods for functional interpretation of LC–MS global metabolomics data
Yao Lü, Zhiqiang Pang, Jianguo Xia
Briefings in Bioinformatics (2022) Vol. 24, Iss. 1
Open Access | Times Cited: 91
Plasma proteomic profiles predict individual future health risk
Jia You, Yu Guo, Yi Zhang, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 54
Efficient plasma metabolic fingerprinting as a novel tool for diagnosis and prognosis of gastric cancer: a large-scale, multicentre study
Zhiyuan Xu, Yida Huang, Can Hu, et al.
Gut (2023) Vol. 72, Iss. 11, pp. 2051-2067
Open Access | Times Cited: 45
Blood protein assessment of leading incident diseases and mortality in the UK Biobank
Danni A. Gadd, Robert F. Hillary, Zhana Kuncheva, et al.
Nature Aging (2024) Vol. 4, Iss. 7, pp. 939-948
Open Access | Times Cited: 34
Proteomic signatures improve risk prediction for common and rare diseases
Julia Carrasco-Zanini, Maik Pietzner, Jonathan Davitte, et al.
Nature Medicine (2024) Vol. 30, Iss. 9, pp. 2489-2498
Open Access | Times Cited: 22
Plasma metabolic profiles predict future dementia and dementia subtypes: a prospective analysis of 274,160 participants
Yi‐Xuan Qiang, Jia You, Xiao‐Yu He, et al.
Alzheimer s Research & Therapy (2024) Vol. 16, Iss. 1
Open Access | Times Cited: 19
Atlas of the plasma proteome in health and disease in 53,026 adults
Yue‐Ting Deng, Jia You, Yu He, et al.
Cell (2024)
Open Access | Times Cited: 18
Studying Alzheimer’s disease through an integrative serum metabolomic and lipoproteomic approach
Alessia Vignoli, G. Bellomo, Federico Paolini Paoletti, et al.
Journal of Translational Medicine (2025) Vol. 23, Iss. 1
Open Access | Times Cited: 3
GLP-1 Agonist to Treat Obesity and Prevent Cardiovascular Disease: What Have We Achieved so Far?
Maurício Reis Pedrosa, Denise Reis Franco, Hannah Waisberg Gieremek, et al.
Current Atherosclerosis Reports (2022) Vol. 24, Iss. 11, pp. 867-884
Closed Access | Times Cited: 47
Interpretable machine learning with tree-based shapley additive explanations: Application to metabolomics datasets for binary classification
Olatomiwa O. Bifarin
PLoS ONE (2023) Vol. 18, Iss. 5, pp. e0284315-e0284315
Open Access | Times Cited: 38
Blood protein levels predict leading incident diseases and mortality in UK Biobank
Danni A. Gadd, Robert F. Hillary, Zhana Kuncheva, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 27
A framework of biomarkers for vascular aging: a consensus statement by the Aging Biomarker Consortium
Le Zhang, Jun Guo, Yuehong Liu, et al.
Life Medicine (2023) Vol. 2, Iss. 4
Open Access | Times Cited: 26
Large‐Scale metabolomics: Predicting biological age using 10,133 routine untargeted LC–MS measurements
Johan K. Lassen, Tingting Wang, Kirstine Lykke Nielsen, et al.
Aging Cell (2023) Vol. 22, Iss. 5
Open Access | Times Cited: 23
Metabolic phenotyping reveals an emerging role of ammonia abnormality in Alzheimer’s disease
Tianlu Chen, Fengfeng Pan, Qi Huang, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 14
Metabolomic profiles of sleep-disordered breathing are associated with hypertension and diabetes mellitus development
Ying Zhang, Bing Yu, Qibin Qi, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 13
An end-to-end deep learning method for mass spectrometry data analysis to reveal disease-specific metabolic profiles
Yongjie Deng, Yao Yao, Yanni Wang, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 13
Identification and validation of serum metabolite biomarkers for endometrial cancer diagnosis
Wanshan Liu, Jinglan Ma, Juxiang Zhang, et al.
EMBO Molecular Medicine (2024) Vol. 16, Iss. 4, pp. 988-1003
Open Access | Times Cited: 10
A metabolomic profile of biological aging in 250,341 individuals from the UK Biobank
Shiyu Zhang, Zheng Wang, Yijing Wang, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 10
Imputation of label-free quantitative mass spectrometry-based proteomics data using self-supervised deep learning
Henry Webel, Lili Niu, Annelaura Bach Nielsen, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 9
Page 1 - Next Page

Scroll to top