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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:

Statistical Methods for Handling Unwanted Variation in Metabolomics Data
Alysha De Livera, Marko Sysi‐Aho, Laurent Jacob, et al.
Analytical Chemistry (2015) Vol. 87, Iss. 7, pp. 3606-3615
Open Access | Times Cited: 175

Showing 1-25 of 175 citing articles:

MetaboAnalyst 5.0: narrowing the gap between raw spectra and functional insights
Zhiqiang Pang, Jasmine Chong, Guangyan Zhou, et al.
Nucleic Acids Research (2021) Vol. 49, Iss. W1, pp. W388-W396
Open Access | Times Cited: 3251
Toward Merging Untargeted and Targeted Methods in Mass Spectrometry-Based Metabolomics and Lipidomics
Tomáš Čajka, Oliver Fiehn
Analytical Chemistry (2015) Vol. 88, Iss. 1, pp. 524-545
Closed Access | Times Cited: 698
MetaboAnalystR 3.0: Toward an Optimized Workflow for Global Metabolomics
Zhiqiang Pang, Jasmine Chong, Shuzhao Li, et al.
Metabolites (2020) Vol. 10, Iss. 5, pp. 186-186
Open Access | Times Cited: 476
NOREVA: normalization and evaluation of MS-based metabolomics data
Bo Li, Jing Tang, Qingxia Yang, et al.
Nucleic Acids Research (2017) Vol. 45, Iss. W1, pp. W162-W170
Open Access | Times Cited: 336
Quality assurance procedures for mass spectrometry untargeted metabolomics. a review
Danuta Dudzik, Cecilia Barbas-Bernardos, Antonia Garcı́a, et al.
Journal of Pharmaceutical and Biomedical Analysis (2017) Vol. 147, pp. 149-173
Closed Access | Times Cited: 305
Chemometric methods in data processing of mass spectrometry-based metabolomics: A review
Lunzhao Yi, Naiping Dong, Yong‐Huan Yun, et al.
Analytica Chimica Acta (2016) Vol. 914, pp. 17-34
Closed Access | Times Cited: 264
Use of Metabolomics in Improving Assessment of Dietary Intake
Marta Guasch‐Ferré, Shilpa N. Bhupathiraju, Frank B. Hu
Clinical Chemistry (2017) Vol. 64, Iss. 1, pp. 82-98
Open Access | Times Cited: 246
Systematic Error Removal Using Random Forest for Normalizing Large-Scale Untargeted Lipidomics Data
Sili Fan, Tobias Kind, Tomáš Čajka, et al.
Analytical Chemistry (2019) Vol. 91, Iss. 5, pp. 3590-3596
Open Access | Times Cited: 225
Beyond the paradigm: Combining mass spectrometry and nuclear magnetic resonance for metabolomics
Darrell D. Marshall, Robert Powers
Progress in Nuclear Magnetic Resonance Spectroscopy (2017) Vol. 100, pp. 1-16
Open Access | Times Cited: 212
Nutrimetabolomics: An Integrative Action for Metabolomic Analyses in Human Nutritional Studies
Marynka Ulaszewska, Christoph H. Weinert, Alessia Trimigno, et al.
Molecular Nutrition & Food Research (2018) Vol. 63, Iss. 1
Open Access | Times Cited: 209
Improved batch correction in untargeted MS-based metabolomics
Ron Wehrens, Jos A. Hageman, Fred van Eeuwijk, et al.
Metabolomics (2016) Vol. 12, Iss. 5
Open Access | Times Cited: 203
Navigating freely-available software tools for metabolomics analysis
Rachel Spicer, Reza M. Salek, Pablo Moreno, et al.
Metabolomics (2017) Vol. 13, Iss. 9
Open Access | Times Cited: 200
Rise of Deep Learning for Genomic, Proteomic, and Metabolomic Data Integration in Precision Medicine
Dmitry Grapov, Johannes F. Fahrmann, Kwanjeera Wanichthanarak, et al.
OMICS A Journal of Integrative Biology (2018) Vol. 22, Iss. 10, pp. 630-636
Open Access | Times Cited: 190
Metabolite patterns predicting sex and age in participants of the Karlsruhe Metabolomics and Nutrition (KarMeN) study
Manuela J. Rist, Alexander Röth, Lara Frommherz, et al.
PLoS ONE (2017) Vol. 12, Iss. 8, pp. e0183228-e0183228
Open Access | Times Cited: 186
NOREVA: enhanced normalization and evaluation of time-course and multi-class metabolomic data
Qingxia Yang, Yunxia Wang, Ying Zhang, et al.
Nucleic Acids Research (2020) Vol. 48, Iss. W1, pp. W436-W448
Open Access | Times Cited: 174
statTarget: A streamlined tool for signal drift correction and interpretations of quantitative mass spectrometry-based omics data
Hemi Luan, Fenfen Ji, Yu Chen, et al.
Analytica Chimica Acta (2018) Vol. 1036, pp. 66-72
Closed Access | Times Cited: 167
Optimization of metabolomic data processing using NOREVA
Jianbo Fu, Ying Zhang, Yunxia Wang, et al.
Nature Protocols (2021) Vol. 17, Iss. 1, pp. 129-151
Closed Access | Times Cited: 158
Reference Standardization for Quantification and Harmonization of Large-Scale Metabolomics
Ken Liu, Mary M. Nellis, Karan Uppal, et al.
Analytical Chemistry (2020) Vol. 92, Iss. 13, pp. 8836-8844
Open Access | Times Cited: 146
Quality control and removal of technical variation of NMR metabolic biomarker data in ~120,000 UK Biobank participants
Scott C. Ritchie, Praveen Surendran, Savita Karthikeyan, et al.
Scientific Data (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 79
Normalization and integration of large-scale metabolomics data using support vector regression
Xiaotao Shen, Xiaoyun Gong, Yuping Cai, et al.
Metabolomics (2016) Vol. 12, Iss. 5
Closed Access | Times Cited: 147
Performance Evaluation and Online Realization of Data-driven Normalization Methods Used in LC/MS based Untargeted Metabolomics Analysis
Bo Li, Jing Tang, Qingxia Yang, et al.
Scientific Reports (2016) Vol. 6, Iss. 1
Open Access | Times Cited: 144
Implementation of liquid chromatography–high resolution mass spectrometry methods for untargeted metabolomic analyses of biological samples: A tutorial
Julian Pezzatti, Julien Boccard, Santiago Codesido, et al.
Analytica Chimica Acta (2020) Vol. 1105, pp. 28-44
Closed Access | Times Cited: 116
Non-oncogene Addiction to SIRT3 Plays a Critical Role in Lymphomagenesis
Meng Li, Ying‐Ling Chiang, Costas A. Lyssiotis, et al.
Cancer Cell (2019) Vol. 35, Iss. 6, pp. 916-931.e9
Open Access | Times Cited: 103
Filtering procedures for untargeted LC-MS metabolomics data
Courtney Schiffman, Lauren Petrick, Kelsi Perttula, et al.
BMC Bioinformatics (2019) Vol. 20, Iss. 1
Open Access | Times Cited: 100
Correcting gene expression data when neither the unwanted variation nor the factor of interest are observed
Laurent Jacob, Johann A. Gagnon-Bartsch, Terence P. Speed
Biostatistics (2015) Vol. 17, Iss. 1, pp. 16-28
Open Access | Times Cited: 96
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