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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:

Metabolomics based markers predict type 2 diabetes in a 14-year follow-up study
Jun Liu, Sabina Semiz, Sven J. van der Lee, et al.
Metabolomics (2017) Vol. 13, Iss. 9
Open Access | Times Cited: 83

Showing 1-25 of 83 citing articles:

Inflammaging: a new immune–metabolic viewpoint for age-related diseases
Claudio Franceschi, Paolo Garagnani, Paolo Parini, et al.
Nature Reviews Endocrinology (2018) Vol. 14, Iss. 10, pp. 576-590
Open Access | Times Cited: 2275
Branched Chain Amino Acids
Michael D. Neinast, Danielle Murashige, Zoltàn Arany
Annual Review of Physiology (2018) Vol. 81, Iss. 1, pp. 139-164
Open Access | Times Cited: 510
The cellular and functional complexity of thermogenic fat
Paul Cohen, Shingo Kajimura
Nature Reviews Molecular Cell Biology (2021) Vol. 22, Iss. 6, pp. 393-409
Open Access | Times Cited: 351
Metabolomics and Type 2 Diabetes Risk: An Updated Systematic Review and Meta-analysis of Prospective Cohort Studies
Jakub Morze, Clemens Wittenbecher, Lukas Schwingshackl, et al.
Diabetes Care (2022) Vol. 45, Iss. 4, pp. 1013-1024
Open Access | Times Cited: 176
Translational Metabolomics: Current Challenges and Future Opportunities
Farhana R. Pinu, Seyed Ali Goldansaz, Jacob Jaine
Metabolites (2019) Vol. 9, Iss. 6, pp. 108-108
Open Access | Times Cited: 171
Metabolomics in Diabetes and Diabetic Complications: Insights from Epidemiological Studies
Qiao Jin, Ronald C.W.
Cells (2021) Vol. 10, Iss. 11, pp. 2832-2832
Open Access | Times Cited: 162
Branched Chain Amino Acids in Metabolic Disease
Zoltàn Arany, Michael D. Neinast
Current Diabetes Reports (2018) Vol. 18, Iss. 10
Closed Access | Times Cited: 153
Metabolomics and Proteomics in Type 2 Diabetes
Zsu‐Zsu Chen, Robert E. Gerszten
Circulation Research (2020) Vol. 126, Iss. 11, pp. 1613-1627
Open Access | Times Cited: 133
Understanding glycaemic control and current approaches for screening antidiabetic natural products from evidence-based medicinal plants
Chintha Lankatillake, Tien Huynh, Daniel A. Dias
Plant Methods (2019) Vol. 15, Iss. 1
Open Access | Times Cited: 125
Microbiota-Related Metabolites and the Risk of Type 2 Diabetes
Jagadish Vangipurapu, Lilian Fernandes Silva, Teemu Kuulasmaa, et al.
Diabetes Care (2020) Vol. 43, Iss. 6, pp. 1319-1325
Closed Access | Times Cited: 109
Metabolomic and Lipidomic Signatures of Metabolic Syndrome and its Physiological Components in Adults: A Systematic Review
Stéphanie Monnerie, Blandine Comte, Daniela Ziegler, et al.
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 89
Altered Asparagine and Glutamate Homeostasis Precede Coronary Artery Disease and Type 2 Diabetes
Filip Ottosson, Einar Smith, Olle Melander, et al.
The Journal of Clinical Endocrinology & Metabolism (2018) Vol. 103, Iss. 8, pp. 3060-3069
Open Access | Times Cited: 88
Metabolite biomarkers of type 2 diabetes mellitus and pre-diabetes: a systematic review and meta-analysis
Jianglan Long, Zhirui Yang, Long Wang, et al.
BMC Endocrine Disorders (2020) Vol. 20, Iss. 1
Open Access | Times Cited: 87
Amino acid and lipid metabolism in post-gestational diabetes and progression to type 2 diabetes: A metabolic profiling study
Mi Lai, Ying Liu, Gabriele V. Ronnett, et al.
PLoS Medicine (2020) Vol. 17, Iss. 5, pp. e1003112-e1003112
Open Access | Times Cited: 85
Challenges in Metabolomics-Based Tests, Biomarkers Revealed by Metabolomic Analysis, and the Promise of the Application of Metabolomics in Precision Medicine
Alessandro Di Minno, Monica Gelzo, Marianna Caterino, et al.
International Journal of Molecular Sciences (2022) Vol. 23, Iss. 9, pp. 5213-5213
Open Access | Times Cited: 63
Role of Branched-Chain Amino Acid Metabolism in Type 2 Diabetes, Obesity, Cardiovascular Disease and Non-Alcoholic Fatty Liver Disease
Paola Cuomo, Rosanna Capparelli, Antonio Iannelli, et al.
International Journal of Molecular Sciences (2022) Vol. 23, Iss. 8, pp. 4325-4325
Open Access | Times Cited: 57
Interpretable machine learning methods for predictions in systems biology from omics data
David Sidak, Jana Schwarzerová, Wolfram Weckwerth, et al.
Frontiers in Molecular Biosciences (2022) Vol. 9
Open Access | Times Cited: 43
Distinct metabolic features of genetic liability to type 2 diabetes and coronary artery disease: a reverse Mendelian randomization study
Madeleine L. Smith, Caroline J. Bull, Michael V. Holmes, et al.
EBioMedicine (2023) Vol. 90, pp. 104503-104503
Open Access | Times Cited: 26
The evolving landscape of untargeted metabolomics
Alessandro Di Minno, Monica Gelzo, Mariano Stornaiuolo, et al.
Nutrition Metabolism and Cardiovascular Diseases (2021) Vol. 31, Iss. 6, pp. 1645-1652
Closed Access | Times Cited: 49
Targeted metabolomics analysis of amino acids and acylcarnitines as risk markers for diabetes by LC–MS/MS technique
Shaghayegh Hosseinkhani, Babak Arjmand, Arezou Dilmaghani‐Marand, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 35
Quartet metabolite reference materials for inter-laboratory proficiency test and data integration of metabolomics profiling
Naixin Zhang, Qiaochu Chen, Peipei Zhang, et al.
Genome biology (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 6
Comparative Metabolomics Analysis of Cervicitis in Human Patients and a Phenol Mucilage-Induced Rat Model Using Liquid Chromatography Tandem Mass Spectrometry
Xiaoyong Zhang, Junmao Li, Bin Xie, et al.
Frontiers in Pharmacology (2018) Vol. 9
Open Access | Times Cited: 54
The discovery of novel predictive biomarkers and early-stage pathophysiology for the transition from gestational diabetes to type 2 diabetes
Saifur R. Khan, Haneesha Mohan, Ying Liu, et al.
Diabetologia (2019) Vol. 62, Iss. 4, pp. 687-703
Open Access | Times Cited: 52
Nutrigenomics: lessons learned and future perspectives
Lorraine Brennan, Baukje de Roos
American Journal of Clinical Nutrition (2020) Vol. 113, Iss. 3, pp. 503-516
Open Access | Times Cited: 41
Machine Learning Approach to Metabolomic Data Predicts Type 2 Diabetes Mellitus Incidence
Andreas Leiherer, Axel Muendlein, Sylvia Mink, et al.
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 10, pp. 5331-5331
Open Access | Times Cited: 5
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