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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:

A wellness study of 108 individuals using personal, dense, dynamic data clouds
Nathan D. Price, Andrew T. Magis, John C. Earls, et al.
Nature Biotechnology (2017) Vol. 35, Iss. 8, pp. 747-756
Open Access | Times Cited: 413

Showing 1-25 of 413 citing articles:

Integrative omics for health and disease
Konrad J. Karczewski, M Snyder
Nature Reviews Genetics (2018) Vol. 19, Iss. 5, pp. 299-310
Open Access | Times Cited: 873
Systems Biology and Multi-Omics Integration: Viewpoints from the Metabolomics Research Community
Farhana R. Pinu, David J. Beale, Amy M. Paten, et al.
Metabolites (2019) Vol. 9, Iss. 4, pp. 76-76
Open Access | Times Cited: 525
Wearables and the Medical Revolution
Jessilyn Dunn, Ryan Runge, M Snyder
Personalized Medicine (2018) Vol. 15, Iss. 5, pp. 429-448
Open Access | Times Cited: 509
Deep learning improves prediction of drug–drug and drug–food interactions
Jae Yong Ryu, Hyun Uk Kim, Sang Yup Lee
Proceedings of the National Academy of Sciences (2018) Vol. 115, Iss. 18
Open Access | Times Cited: 463
Personalised nutrition and health
José M. Ordovás, Lynnette R. Ferguson, E. Shyong Tai, et al.
BMJ (2018), pp. bmj.k2173-bmj.k2173
Open Access | Times Cited: 435
A longitudinal big data approach for precision health
Sophia Miryam Schüssler‐Fiorenza Rose, Kévin Contrepois, Kegan Moneghetti, et al.
Nature Medicine (2019) Vol. 25, Iss. 5, pp. 792-804
Open Access | Times Cited: 430
An Integrated Understanding of the Rapid Metabolic Benefits of a Carbohydrate-Restricted Diet on Hepatic Steatosis in Humans
Adil Mardinoğlu, Hao Wu, Elias Björnson, et al.
Cell Metabolism (2018) Vol. 27, Iss. 3, pp. 559-571.e5
Open Access | Times Cited: 397
Breath Sensors for Health Monitoring
Andreas T. Güntner, Sebastian Abegg, Karsten Königstein, et al.
ACS Sensors (2019) Vol. 4, Iss. 2, pp. 268-280
Closed Access | Times Cited: 327
Machine Learning and Integrative Analysis of Biomedical Big Data
Bilal Mirza, Wei Wang, Jie Wang, et al.
Genes (2019) Vol. 10, Iss. 2, pp. 87-87
Open Access | Times Cited: 304
Single-sequence protein structure prediction using a language model and deep learning
Ratul Chowdhury, Nazim Bouatta, Surojit Biswas, et al.
Nature Biotechnology (2022) Vol. 40, Iss. 11, pp. 1617-1623
Open Access | Times Cited: 301
Blood metabolome predicts gut microbiome α-diversity in humans
Tomasz Wilmanski, Noa Rappaport, John C. Earls, et al.
Nature Biotechnology (2019) Vol. 37, Iss. 10, pp. 1217-1228
Open Access | Times Cited: 271
Advancing functional and translational microbiome research using meta-omics approaches
Xu Zhang, Leyuan Li, James Butcher, et al.
Microbiome (2019) Vol. 7, Iss. 1
Open Access | Times Cited: 264
Generating the Blood Exposome Database Using a Comprehensive Text Mining and Database Fusion Approach
Dinesh Kumar Barupal, Oliver Fiehn
Environmental Health Perspectives (2019) Vol. 127, Iss. 9
Open Access | Times Cited: 260
Recent Progress of Nanostructured Sensing Materials from 0D to 3D: Overview of Structure–Property‐Application Relationship for Gas Sensors
Tingting Zhou, Tong Zhang
Small Methods (2021) Vol. 5, Iss. 9
Closed Access | Times Cited: 257
Gut microbiome, big data and machine learning to promote precision medicine for cancer
Giovanni Cammarota, Gianluca Ianiro, Anna M. Ahern, et al.
Nature Reviews Gastroenterology & Hepatology (2020) Vol. 17, Iss. 10, pp. 635-648
Closed Access | Times Cited: 245
Precision medicine in the era of artificial intelligence: implications in chronic disease management
Murugan Subramanian, Anne Wojtusciszyn, Lucie Favre, et al.
Journal of Translational Medicine (2020) Vol. 18, Iss. 1
Open Access | Times Cited: 228
A predictive index for health status using species-level gut microbiome profiling
Vinod K. Gupta, Minsuk Kim, Utpal Bakshi, et al.
Nature Communications (2020) Vol. 11, Iss. 1
Open Access | Times Cited: 227
A machine learning approach to predict metabolic pathway dynamics from time-series multiomics data
Zak Costello, Héctor García Martín
npj Systems Biology and Applications (2018) Vol. 4, Iss. 1
Open Access | Times Cited: 223
Precision nutrition for prevention and management of type 2 diabetes
Dong D. Wang, Frank B. Hu
The Lancet Diabetes & Endocrinology (2018) Vol. 6, Iss. 5, pp. 416-426
Closed Access | Times Cited: 218
Integrative Personal Omics Profiles during Periods of Weight Gain and Loss
Brian Piening, Wenyu Zhou, Kévin Contrepois, et al.
Cell Systems (2018) Vol. 6, Iss. 2, pp. 157-170.e8
Open Access | Times Cited: 189
Nanomaterial-based gas sensors used for breath diagnosis
Xinyuan Zhou, Zhenjie Xue, Xiangyu Chen, et al.
Journal of Materials Chemistry B (2020) Vol. 8, Iss. 16, pp. 3231-3248
Closed Access | Times Cited: 189
Personalized whole‐body models integrate metabolism, physiology, and the gut microbiome
Ines Thiele, Swagatika Sahoo, Almut Heinken, et al.
Molecular Systems Biology (2020) Vol. 16, Iss. 5
Open Access | Times Cited: 184
Mass Spectrometry-Based Plasma Proteomics: Considerations from Sample Collection to Achieving Translational Data
Vera Ignjatović, Philipp E. Geyer, Krishnan K. Palaniappan, et al.
Journal of Proteome Research (2019) Vol. 18, Iss. 12, pp. 4085-4097
Open Access | Times Cited: 178
Nutrigenomics of Vitamin D
Carsten Carlberg
Nutrients (2019) Vol. 11, Iss. 3, pp. 676-676
Open Access | Times Cited: 175
Wearable and Mobile Sensors for Personalized Nutrition
Juliane R. Sempionatto, Víctor Ruiz‐Valdepeñas Montiel, Eva Vargas, et al.
ACS Sensors (2021) Vol. 6, Iss. 5, pp. 1745-1760
Closed Access | Times Cited: 165
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