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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:

Machine learning of human plasma lipidomes for obesity estimation in a large population cohort
Mathias J. Gerl, Christian Klose, Michał A. Surma, et al.
PLoS Biology (2019) Vol. 17, Iss. 10, pp. e3000443-e3000443
Open Access | Times Cited: 70

Showing 1-25 of 70 citing articles:

A systematic literature review on obesity: Understanding the causes & consequences of obesity and reviewing various machine learning approaches used to predict obesity
Mahmood Safaei, Elankovan Sundararajan, Maha Driss, et al.
Computers in Biology and Medicine (2021) Vol. 136, pp. 104754-104754
Open Access | Times Cited: 425
Genome-wide association analysis of plasma lipidome identifies 495 genetic associations
Linda Ottensmann, Rubina Tabassum, Sanni Ruotsalainen, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 124
High-coverage plasma lipidomics reveals novel sex-specific lipidomic fingerprints of age and BMI: Evidence from two large population cohort studies
Habtamu B. Beyene, Gavriel Olshansky, Alexander Smith, et al.
PLoS Biology (2020) Vol. 18, Iss. 9, pp. e3000870-e3000870
Open Access | Times Cited: 129
Clinical lipidomics: realizing the potential of lipid profiling
Thomas G. Meikle, Kevin Huynh, Corey Giles, et al.
Journal of Lipid Research (2021) Vol. 62, pp. 100127-100127
Open Access | Times Cited: 91
A machine learning approach for obesity risk prediction
Faria Ferdowsy, Kazi Samsul Alam Rahi, Md. Ismail Jabiullah, et al.
Current Research in Behavioral Sciences (2021) Vol. 2, pp. 100053-100053
Open Access | Times Cited: 79
Mouse lipidomics reveals inherent flexibility of a mammalian lipidome
Michał A. Surma, Mathias J. Gerl, Ronny Herzog, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 61
Lipid–Protein Interactions in Plasma Membrane Organization and Function
Taras Sych, Kandice R. Levental, Erdinç Sezgin
Annual Review of Biophysics (2022) Vol. 51, Iss. 1, pp. 135-156
Open Access | Times Cited: 46
Metabolic phenotyping of BMI to characterize cardiometabolic risk: evidence from large population-based cohorts
Habtamu B. Beyene, Corey Giles, Kevin Huynh, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 26
Toward a Standardized Strategy of Clinical Metabolomics for the Advancement of Precision Medicine
Nguyen Phuoc Long, Tran Diem Nghi, Yun Pyo Kang, et al.
Metabolites (2020) Vol. 10, Iss. 2, pp. 51-51
Open Access | Times Cited: 66
LipidSig: a web-based tool for lipidomic data analysis
Wen-Jen Lin, Pei-Chun Shen, Hsiu-Cheng Liu, et al.
Nucleic Acids Research (2021) Vol. 49, Iss. W1, pp. W336-W345
Open Access | Times Cited: 49
Lipidomic risk scores are independent of polygenic risk scores and can predict incidence of diabetes and cardiovascular disease in a large population cohort
Chris Lauber, Mathias J. Gerl, Christian Klose, et al.
PLoS Biology (2022) Vol. 20, Iss. 3, pp. e3001561-e3001561
Open Access | Times Cited: 36
Applications of Artificial Intelligence to Obesity Research: Scoping Review of Methodologies
Ruopeng An, Jing Shen, Yunyu Xiao
Journal of Medical Internet Research (2022) Vol. 24, Iss. 12, pp. e40589-e40589
Open Access | Times Cited: 30
Untargeted Metabolomics Analysis of the Serum Metabolic Signature of Childhood Obesity
Łukasz Szczerbiński, Gladys Wojciechowska, Adam Olichwier, et al.
Nutrients (2022) Vol. 14, Iss. 1, pp. 214-214
Open Access | Times Cited: 29
Clinical lipidomics in the era of the big data
Aleš Kvasnička, Lukáš Najdekr, Dana Dobešová, et al.
Clinical Chemistry and Laboratory Medicine (CCLM) (2023) Vol. 61, Iss. 4, pp. 587-598
Open Access | Times Cited: 18
Artificial intelligence and body composition
Prasanna Santhanam, Tanmay Nath, Cheng Peng, et al.
Diabetes & Metabolic Syndrome Clinical Research & Reviews (2023) Vol. 17, Iss. 3, pp. 102732-102732
Closed Access | Times Cited: 18
Pilot Multi-Omic Analysis of Human Bile from Benign and Malignant Biliary Strictures: A Machine-Learning Approach
Jesús Urmán, José M. Herranz, Iker Uriarte, et al.
Cancers (2020) Vol. 12, Iss. 6, pp. 1644-1644
Open Access | Times Cited: 48
Systems biology approaches to study lipidomes in health and disease
Marina Amaral Alves, Santosh Lamichhane, Alex M. Dickens, et al.
Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids (2020) Vol. 1866, Iss. 2, pp. 158857-158857
Open Access | Times Cited: 47
A plasma lipid signature predicts incident coronary artery disease
Filip Ottosson, Payam Emami Khoonsari, Mathias J. Gerl, et al.
International Journal of Cardiology (2021) Vol. 331, pp. 249-254
Open Access | Times Cited: 38
Trip13 Depletion in Liver Cancer Induces a Lipogenic Response Contributing to Plin2‐Dependent Mitotic Cell Death
Marcos Ríos García, Bettina Meißburger, Jessica Sze Ki Chan, et al.
Advanced Science (2022) Vol. 9, Iss. 29
Open Access | Times Cited: 24
MethylDetectR: a software for methylation-based health profiling
Robert F. Hillary, Riccardo E. Marioni
Wellcome Open Research (2021) Vol. 5, pp. 283-283
Open Access | Times Cited: 31
Identifying Key Determinants of Childhood Obesity: A Narrative Review of Machine Learning Studies
Madison N. LeCroy, Ryung S. Kim, June Stevens, et al.
Childhood Obesity (2021) Vol. 17, Iss. 3, pp. 153-159
Open Access | Times Cited: 29
Dysregulated Metabolic Pathways in Subjects with Obesity and Metabolic Syndrome
Fayaz Ahmad Mir, Ehsan Ullah, Raghvendra Mall, et al.
International Journal of Molecular Sciences (2022) Vol. 23, Iss. 17, pp. 9821-9821
Open Access | Times Cited: 19
Liquid-liquid phase separation in subcellular assemblages and signaling pathways: Chromatin modifications induced gene regulation for cellular physiology and functions including carcinogenesis
Subhajit Chakraborty, Jagdish Mishra, Ankan Roy, et al.
Biochimie (2024) Vol. 223, pp. 74-97
Closed Access | Times Cited: 4
Artificial intelligence-enabled obesity prediction: A systematic review of cohort data analysis
Sharareh Rostam Niakan Kalhori, Farid Najafi, Hajar Hasannejadasl, et al.
International Journal of Medical Informatics (2025) Vol. 196, pp. 105804-105804
Closed Access
Metabolites and lipid species mediate the associations of adiposity in childhood and early adulthood with mammographic breast density in premenopausal women
Kayla R. Getz, Myung Sik Jeon, Lili Liu, et al.
Breast Cancer Research (2025) Vol. 27, Iss. 1
Open Access
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