The metabolomics standards initiative (MSI)

Genomics, gene expression and DNA arrays

Lockhart, D. J., & Winzeler, E. A. (2000) · Nature · doi:10.1038/35015701 · Cited by 2,055

Contemporary issues in toxicology the role of metabonomics in toxicology and its evaluation by the COMET project

Lindon, J. C., Nicholson, J. K., Holmes, E. C., Antti, H., Bollard, M. E., Keun, H. C., Beckonert, O. P., Ebbels, T. M. D., Reily, M. D., Robertson, D. G., et al. (2003) · Toxicology and Applied Pharmacology · doi:10.1016/s0041-008x(02)00079-0 · Cited by 385

A proposed framework for the description of plant metabolomics experiments and their results

JENKINS, H. A., Hardy, N. W., Beckmann, M., Draper, J., SMITH, A. R., Taylor, J., Fiehn, O., Goodacre, R., Bino, R. J., Hall, R. D., et al. (2004) · Nature Biotechnology · doi:10.1038/nbt1041 · Cited by 285

Summary recommendations for standardization and reporting of metabolic analyses

The Standard Metabolic Reporting Structures working group (2005) · Nature Biotechnology · doi:10.1038/nbt0705-833 · Cited by 277

Molecular systems biology

Sewald, N., & Pühler, A. (2007) · Journal of Biotechnology · doi:10.1016/j.jbiotec.2007.02.010 · Cited by 130

Establishing Reporting Standards for Metabolomic and Metabonomic Studies: A Call for Participation

Fiehn, O., Kristal, B. S., van Ommen, B., Sumner, L. W., Sansone, S., Taylor, C., Hardy, N. W., & Kaddurah‐Daouk, R. (2006) · OMICS A Journal of Integrative Biology · doi:10.1089/omi.2006.10.158 · Cited by 108

The Functional Genomics Experiment model (FuGE): an extensible framework for standards in functional genomics

Jones, A. R., Miller, M., Aebersold, R. H., Apweiler, R., Ball, C. A., Brāzma, A., DeGreef, J., Hardy, N. W., Hermjakob, H., Hubbard, S. J., et al. (2007) · Nature Biotechnology · doi:10.1038/nbt1347 · Cited by 106

Metabolomics Standards Workshop and the development of international standards for reporting metabolomics experimental results

Castle, A. L. (2006) · Briefings in Bioinformatics · doi:10.1093/bib/bbl008 · Cited by 102

The Work of the Human Proteome Organisation's Proteomics Standards Initiative (HUPO PSI)

Taylor, C. F., Hermjakob, H., Julian, R. K., Garavelli, J. S., Aebersold, R. H., & Apweiler, R. (2006) · OMICS A Journal of Integrative Biology · doi:10.1089/omi.2006.10.145 · Cited by 74

MGED Standards: Work in Progress

Ball, C. A., & Brāzma, A. (2006) · OMICS A Journal of Integrative Biology · doi:10.1089/omi.2006.10.138 · Cited by 64

Using 1-D 1H and 2-D 1H J-resolved NMR metabolomics to understand the effects of anemia in channel catfish (Ictalurus punctatus)

Allen, P. J., Wise, D. J., Greenway, T., Khoo, L. H., Griffin, M. J., & Jablonsky, M. J. (2014) · Metabolomics · doi:10.1007/s11306-014-0767-2 · Cited by 29

A Multi-Cohort Metabolomics Analysis Discloses Sphingomyelin (32:1) Levels to be Inversely Related to Incident Ischemic Stroke

Lind, L., Salihović, S., Ganna, A., Sundström, J., Broeckling, C. D., Magnusson, P. K. E., Pedersen, N. L., Siegbahn, A., Prenni, J. E., Fall, T., et al. (2019) · Journal of Stroke and Cerebrovascular Diseases · doi:10.1016/j.jstrokecerebrovasdis.2019.104476 · Cited by 29

Mass Spectrometry-Based Zebrafish Toxicometabolomics: A Review of Analytical and Data Quality Challenges

da Silva, K. M., Iturrospe, E., Bars, C., Knapen, D., Cruchten, S. J. M. V., Covaci, A., & van Nuijs, A. L. N. (2021) · Metabolites · doi:10.3390/metabo11090635 · Cited by 29

Evaluating the challenges associated with time-of-fight secondary ion mass spectrometry for metabolomics using pure and mixed metabolites

Fletcher, J. S., Kotze, H. L., Armitage, E. G., Lockyer, N. P., & Vickerman, J. C. (2012) · Metabolomics · doi:10.1007/s11306-012-0487-4 · Cited by 30

Metabolic fingerprinting reveals differences between northern and southern strains of the cryptic diatomChaetoceros socialis

Huseby, S., Degerlund, M., Zingone, A., & Hansen, E. H. (2012) · European Journal of Phycology · doi:10.1080/09670262.2012.741714 · Cited by 29

From Complexity to Clarity: Expanding Metabolome Coverage With Innovative Analytical Strategies

Kanukolanu, A., Rajyalakshmi, R., Nalla, L. V., & Gajula, S. N. R. (2025) · Journal of Separation Science · doi:10.1002/jssc.70099 · Cited by 28

Methodological considerations for large-scale breath analysis studies: lessons from the U-BIOPRED severe asthma project

Ahmed, W., Brinkman, P., Weda, H., Knobel, H., Yun Xu, A., Nijsen, T. M. E., Goodacre, R., Rattray, N. J. W., Vink, T. J., Santonico, M., et al. (2018) · Journal of Breath Research · doi:10.1088/1752-7163/aae557 · Cited by 28

A Tool to Encourage Minimum Reporting Guideline Uptake for Data Analysis in Metabolomics

Considine, E. C., & Salek, R. M. (2019) · Metabolites · doi:10.3390/metabo9030043 · Cited by 27

Metabolizing Data in the Cloud

Warth, B., Levin, N., Rinehart, D., Teijaro, J. R., Benton, H. P., & Siuzdak, G. E. (2017) · Trends in biotechnology · doi:10.1016/j.tibtech.2016.12.010 · Cited by 27

A urinary biosignature for mitochondrial myopathy, encephalopathy, lactic acidosis and stroke like episodes (MELAS)

Esterhuizen, K., Lindeque, J. Z., Mason, S., van der Westhuizen, F. H., Suomalainen, A., Hakonen, A. H., Carroll, C. J., Rodenburg, R. J., de Laat, P., Janssen, M. C. H., et al. (2018) · Mitochondrion · doi:10.1016/j.mito.2018.02.003 · Cited by 27

Development of an adaptable headspace sampling method for metabolic profiling of the fungal volatome

Ahmed, W., Geranios, P., White, I. R., Lawal, O., Nijsen, T. M. E., Bromley, M., Goodacre, R., Read, N. D., & Fowler, S. J. (2018) · The Analyst · doi:10.1039/c8an00841h · Cited by 27

Response of Rhizobium to Cd exposure: A volatile perspective

Cardoso, P., Santos, M., Freitas, R., Rocha, S. M., & Figueira, E. M. D. A. P. (2017) · Environmental Pollution · doi:10.1016/j.envpol.2017.08.067 · Cited by 27

Biological big-data sources, problems of storage, computational issues, and applications: a comprehensive review

Choudhari, J. K., Pant, S., Jha, R., Pathak, R. K., & Singh, D. B. (2024) · Knowledge and Information Systems · doi:10.1007/s10115-023-02049-4 · Cited by 32

Metabolomics uncovers the diabetes metabolic network: from pathophysiological mechanisms to clinical applications

Xu, Z., Zhou, Y., Xie, R., & Ning, Z. (2025) · Frontiers in Endocrinology · doi:10.3389/fendo.2025.1624878 · Cited by 28

Untargeted metabolomics analysis of the upper respiratory tract of ferrets following influenza A virus infection and oseltamivir treatment

Beale, D. J., Oh, D. Y., Karpe, A. V., Tai, C. M. K., Dunn, M. S., Tilmanis, D., Palombo, E. A., & Hurt, A. C. (2019) · Metabolomics · doi:10.1007/s11306-019-1499-0 · Cited by 26

Monitor process state of batch anaerobic digestion in reliance on volatile and semi-volatile metabolome

Lü, F., Chen, W., Duan, H., Zhang, H., Shao, L., & He, P. (2022) · Bioresource Technology · doi:10.1016/j.biortech.2022.126953 · Cited by 26

Biofluid metabonomics using 1 H NMR spectroscopy: the road to biomarker discovery in gastroenterology and hepatology

Patel, N. R., McPhail, M. J. W., Shariff, M. I. F., Keun, H. C., & Taylor-Robinson, S. D. (2012) · Expert Review of Gastroenterology & Hepatology · doi:10.1586/egh.12.1 · Cited by 26

An integrated approach to improve plant protection against olive anthracnose caused by the Colletotrichum acutatum species complex

Kolainis, S., Koletti, A., Lykogianni, M., Karamanou, D. A., Gkizi, D., Tjamos, S. E., Paraskeuopoulos, A., & Aliferis, K. A. (2020) · PLoS ONE · doi:10.1371/journal.pone.0233916 · Cited by 26

Metabolomics data and the biomarker qualification process

Beger, R. D., & Colatsky, T. J. (2011) · Metabolomics · doi:10.1007/s11306-011-0342-z · Cited by 25

Candida Species (Volatile) Metabotyping through Advanced Comprehensive Two‐Dimensional Gas Chromatography

Costa, C. P., Bezerra, A. R., Almeida, A., & Rocha, S. M. (2020) · Microorganisms · doi:10.3390/microorganisms8121911 · Cited by 26

Metabolomics, Standards, and Metabolic Modeling for Synthetic Biology in Plants

Hill, C. B., Czauderna, T., Klapperstück, M., Roessner, U., & Schreiber, F. (2015) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2015.00167 · Cited by 25

Seasonal metabolic analysis of marine sediments collected from Moreton Bay in South East Queensland, Australia, using a multi-omics-based approach

Beale, D. J., Crosswell, J. R., Karpe, A. V., Metcalfe, S. S., Morrison, P. D., Staley, C. M., Ahmed, W., Sadowsky, M. J., Palombo, E. A., & Steven, A. (2018) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2018.03.106 · Cited by 25

Blood-Derived Lipid and Metabolite Biomarkers in Cardiovascular Research from Clinical Studies: A Recent Update

Kale, D., Fatangare, A., Phapale, P. B., & Sickmann, A. (2023) · Cells · doi:10.3390/cells12242796 · Cited by 24

Mass Spectrometry Metabolomic Data Handling for Biomarker Discovery

Boccard, J., & Rudaz, S. L. (2013) · Elsevier eBooks · doi:10.1016/b978-0-12-394446-7.00027-3 · Cited by 24

The future of metabolomics in ELIXIR

van Rijswijk, M., Beirnaert, C., Caron, C., Cascante, M., Angel, V. D. D., Dunn, W. B., Ebbels, T. M. D., Giacomoni, F., Gonzalez-Beltran, A. N., Hankemeier, T., et al. (2017) · F1000Research · doi:10.12688/f1000research.12342.1 · Cited by 24

A comprehensive look into the volatile exometabolome of enteroxic and non-enterotoxic Staphylococcus aureus strains

Baptista, I. I. R., Santos, M., Rudnitskaya, A. M., Saraiva, J. A., Almeida, A., & Rocha, S. M. (2019) · The International Journal of Biochemistry & Cell Biology · doi:10.1016/j.biocel.2019.01.007 · Cited by 24

A perspective on the standards describing mass spectrometry-based metabolic phenotyping (metabolomics/metabonomics) studies in publications

Wilson, I. D., Theodoridis, G. A., & Virgiliou, C. (2020) · Journal of Chromatography B · doi:10.1016/j.jchromb.2020.122515 · Cited by 24

Artificial light at night interacts with predatory threat to alter reef fish metabolite profiles

Hillyer, K. E., Beale, D. J., & Shima, J. (2021) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2020.144482 · Cited by 25

Metabolic profile and antioxidant capacity of five Berberis leaves species: A comprehensive study to determine their potential as natural food or ingredient

Nova-Baza, D., Olivares-Caro, L., Bustamante-Salazar, L. A., Pérez, A. J., Vergara, C., Fuentealba, J., & Mardones, C. (2022) · Food Research International · doi:10.1016/j.foodres.2022.111642 · Cited by 24

Metabolomics strategy for the mapping of volatile exometabolome from Saccharomyces spp. widely used in the food industry based on comprehensive two‐dimensional gas chromatography

Martins, C., Brandão, T., Almeida, A., & Rocha, S. M. (2017) · Journal of Separation Science · doi:10.1002/jssc.201601296 · Cited by 24

Understanding the function and regulation of plant secondary metabolism through metabolomics approaches

Delfin, J. C., Watanabe, M., & Tohge, T. (2018) · Theoretical and Experimental Plant Physiology · doi:10.1007/s40626-018-0126-1 · Cited by 24

Understanding mobile phase buffer composition and chemical structure effects on electrospray ionization mass spectrometry response

Brookhart, A., Arora, M., McCullagh, M., Wilson, I. D., Plumb, R. S., Vissers, J. P. C., & Tanna, N. (2023) · Journal of Chromatography A · doi:10.1016/j.chroma.2023.463966 · Cited by 23

In-Depth Chemical Analysis of the Brain Extracellular Space Using In Vivo Microdialysis with Liquid Chromatography-Tandem Mass Spectrometry

Anderson, B. G., Popov, P., Cicali, A. R., Nwamba, A., Evans, C. R., & Kennedy, R. T. (2024) · Analytical Chemistry · doi:10.1021/acs.analchem.4c03806 · Cited by 24

Supercritical Fluid Chromatography

Jumhawan, U., & Bamba, T. (2017) · Elsevier eBooks · doi:10.1016/b978-0-12-805297-6.00016-4 · Cited by 23

Defining NASH from a Multi-Omics Systems Biology Perspective

Niu, L., Sulek, K., Vasilopoulou, C. G., Santos, A., Albrechtsen, N. J. W., Rasmussen, S., Meier, F., & Mann, M. (2021) · Journal of Clinical Medicine · doi:10.3390/jcm10204673 · Cited by 24

A Checklist for Reproducible Computational Analysis in Clinical Metabolomics Research

Du, X., Aristizabal‐Henao, J. J., Garrett, T. J., Brochhausen, M., Hogan, W. R., & Lemas, D. J. (2022) · Metabolites · doi:10.3390/metabo12010087 · Cited by 23

GC-TOF/MS-based metabolomics approach to study the cellular immunotoxicity of deoxynivalenol on murine macrophage ANA-1 cells

Ji, J., Sun, J., Pi, F., Zhang, S., Sun, C., Wang, X., Zhang, Y., & Sun, X. (2016) · Chemico-Biological Interactions · doi:10.1016/j.cbi.2016.06.017 · Cited by 23

Understanding the metabolome – challenges for metabolomics

Walsh, M. C., Nugent, A. P., Brennan, L., & Gibney, M. J. (2008) · Nutrition Bulletin · doi:10.1111/j.1467-3010.2008.00732.x · Cited by 23

Right Ventricle Remodeling Metabolic Signature in Experimental Pulmonary Hypertension Models of Chronic Hypoxia and Monocrotaline Exposure

Hautbergue, T., Antigny, F., Boët, A., Haddad, F., Masson, B., Lambert, M., Delaporte, A., Ménager, J.-B., Savale, L., Pavec, J. L., et al. (2021) · Cells · doi:10.3390/cells10061559 · Cited by 22

Trypanosoma brucei: Metabolomics for analysis of cellular metabolism and drug discovery

Fall, F., Mamede, L., Schioppa, L., Ledoux, A., Tullio, P. D., Michels, P. A. M., Frédérich, M., & Quetin‐Leclercq, J. (2022) · Metabolomics · doi:10.1007/s11306-022-01880-0 · Cited by 22

HILIC-MS/MS Multi-Targeted Method for Metabolomics Applications

Virgiliou, C., Gika, H., & Theodoridis, G. A. (2018) · Methods in molecular biology · doi:10.1007/978-1-4939-7643-0_5 · Cited by 22

Quali–Quantitative Characterization of Volatile and Non-Volatile Compounds in Protium heptaphyllum (Aubl.) Marchand Resin by GC–MS Validated Method, GC–FID and HPLC–HRMS2

Asteggiano, A., Occhipinti, A., Capuzzo, A., Mecarelli, E., Aigotti, R., & Medana, C. (2021) · Molecules · doi:10.3390/molecules26051447 · Cited by 21

Untargeted serum metabolomics reveals potential biomarkers and metabolic pathways associated with esophageal cancer

Yang, X., Wang, P., Ye, H., Jiang, M., Su, Y., Peng, X.-X., Li, H., & Zhang, J. (2022) · Frontiers in Oncology · doi:10.3389/fonc.2022.938234 · Cited by 21

High omega-6/omega-3 fatty acid and oxylipin ratio in plasma is linked to an adverse cardiometabolic profile in middle-aged adults

Jurado‐Fasoli, L., Osuna‐Prieto, F. J., Yang, W., Köhler, I., Di, X., Rensen, P. C. N., Castillo, M. J., Martínez‐Téllez, B., & Amaro‐Gahete, F. J. (2023) · The Journal of Nutritional Biochemistry · doi:10.1016/j.jnutbio.2023.109331 · Cited by 21

Untargeted MS-based small metabolite identification from the plant leaves and stems of Impatiens balsamina

Chua, L. S. (2016) · Plant Physiology and Biochemistry · doi:10.1016/j.plaphy.2016.04.040 · Cited by 21

Amitriptyline at an Environmentally Relevant Concentration Alters the Profile of Metabolites Beyond Monoamines in Gilt-Head Bream

Ziarrusta, H., Ribbenstedt, A., Mijangos, L., Picart‐Armada, S., Perera-Lluna, A., Prieto, A., Izagirre, U., Benskin, J. P., Olivares, M., Zuloaga, O., et al. (2019) · Environmental Toxicology and Chemistry · doi:10.1002/etc.4381 · Cited by 21

The yeast (Saccharomyces cerevisiae) YCF1 vacuole transporter: Evidence on its implication into the yeast resistance to flusilazole as revealed by GC/EI/MS metabolomics

Karamanou, D. A., & Aliferis, K. A. (2019) · Pesticide Biochemistry and Physiology · doi:10.1016/j.pestbp.2019.09.013 · Cited by 22

Development of a Direct Headspace Collection Method from Arabidopsis Seedlings Using HS-SPME-GC-TOF-MS Analysis

Kusano, M., Iizuka, Y., Kobayashi, M., Fukushima, A., & Saito, K. (2013) · Metabolites · doi:10.3390/metabo3020223 · Cited by 21

Metabolic Profiling of Brain Tissue and Brain‐Derived Extracellular Vesicles in Alzheimer's Disease

Hernandez, P., Rackles, E., Albóniga, O. E., Martínez‐Lage, P., Camacho, E. N., Onaindía, A., Fernandez, M., Talamillo, A., & Falcón‐Pérez, J. M. (2025) · Journal of Extracellular Vesicles · doi:10.1002/jev2.70043 · Cited by 20

Utilising lipid and, arginine and proline metabolism in blood plasma to differentiate the biochemical expression in functional dyspepsia (FD) and irritable bowel syndrome (IBS)

Karpe, A. V., Liu, J., Shah, A., Koloski, N. A., Holtmann, G., & Beale, D. J. (2022) · Metabolomics · doi:10.1007/s11306-022-01900-z · Cited by 20

Preparative‐Scale Production of Testosterone Metabolites by Human Liver Cytochrome P450 Enzyme 3A4

Fessner, N. D., Srdič, M., Weber, H., Schmid, C., Schönauer, D., Schwaneberg, U., & Glieder, A. (2020) · Advanced Synthesis & Catalysis · doi:10.1002/adsc.202000251 · Cited by 20

Gas Chromatography–Mass Spectrometry (GC-MS) in the Plant Metabolomics Toolbox: Sample Preparation and Instrumental Analysis

Frolova, N., Orlova, A., Popova, V., Bilova, T. E., & Frolov, A. (2025) · Biomolecules · doi:10.3390/biom16010016 · Cited by 31

Metabolic profiling of yeast culture using gas chromatography coupled with orthogonal acceleration accurate mass time-of-flight mass spectrometry: Application to biomarker discovery

Kondo, E., Marriott, P. J., Parker, R. M., Kouremenos, K. A., Morrison, P. D., & Adams, M. (2013) · Analytica Chimica Acta · doi:10.1016/j.aca.2013.11.004 · Cited by 19

Cloud architecture for plant phenotyping research

Debauche, O., Mahmoudi, S. A., Cock, N. D., Mahmoudi, S., Manneback, P., & Lebeau, F. (2020) · Concurrency and Computation Practice and Experience · doi:10.1002/cpe.5661 · Cited by 19

Development of RIKEN Plant Metabolome MetaDatabase

Fukushima, A., Takahashi, M., Nagasaki, H., Aono, Y., Kobayashi, M., Kusano, M., Saito, K., Kobayashi, N., & Arita, M. (2021) · Plant and Cell Physiology · doi:10.1093/pcp/pcab173 · Cited by 19

Comprehensive two‐dimensional gas chromatographic platforms comparison for exhaled breath metabolites analysis

Zanella, D., Henin, A., Mascrez, S., Stefanuto, P., Franchina, F. A., Focant, J., & Purcaro, G. (2022) · Journal of Separation Science · doi:10.1002/jssc.202200164 · Cited by 19

Analysis of exhaled breath to identify critically ill patients with ventilator‐associated pneumonia

Felton, T., Ahmed, W., White, I. R., van Oort, P. M. P., Rattray, N. J. W., Docherty, C. A., Bannard‐Smith, J., Morton, B., Welters, I. D., McMullan, R., et al. (2023) · Anaesthesia · doi:10.1111/anae.15999 · Cited by 19

Comprehensive Two-Dimensional Gas Chromatography as a Bioanalytical Platform for Drug Discovery and Analysis

Zaid, A., Hassan, N. H., Marriott, P. J., & Wong, Y. F. (2023) · Pharmaceutics · doi:10.3390/pharmaceutics15041121 · Cited by 22

Metabonomics: Analytical Techniques and Associated Chemometrics at a Glance

Bjerrum, J. T. (2015) · Methods in molecular biology · doi:10.1007/978-1-4939-2377-9_1 · Cited by 19

What can metabolomics learn from genomics and proteomics?

Arita, M. (2009) · Current Opinion in Biotechnology · doi:10.1016/j.copbio.2009.09.011 · Cited by 19

Multiple nucleobase transporters contribute to boscalid sensitivity in Aspergillus nidulans

Kalampokis, I. F., Kapetanakis, G. C., Aliferis, K. A., & Diallinas, G. (2018) · Fungal Genetics and Biology · doi:10.1016/j.fgb.2018.02.004 · Cited by 21

Plasma metabolomic fingerprint of advanced cirrhosis stages among HIV/HCV‐coinfected and HCV‐monoinfected patients

Salgüero, S., Rojo, D., Berenguer, J., González‐García, J., Fernández‐Rodríguez, A., Brochado‐Kith, O., Díez, C., Hontañón, V., Virseda‐Berdices, A., Martínez, J., et al. (2020) · Liver International · doi:10.1111/liv.14580 · Cited by 19

Differential protein expression and metabolite profiling in glaucoma: Insights from a multi‐omics analysis

Mok, J.-H., Park, D. Y., & Han, J. C. (2024) · BioFactors · doi:10.1002/biof.2079 · Cited by 18

Reference materials for food authentication

Ulberth, F., & Koeber, R. (2025) · Analytical and Bioanalytical Chemistry · doi:10.1007/s00216-025-05743-0 · Cited by 18

How the volatile organic compounds emitted by corpse plant change through flowering

Kang, L., Kaur, J., Winkeler, K., Kubiak, D., & Hill, J. E. (2023) · Scientific Reports · doi:10.1038/s41598-022-27108-8 · Cited by 18

CD98 defines a metabolically flexible, proinflammatory subset of low‐density neutrophils in systemic lupus erythematosus

Martin, K., Day, J. A., Hansen, J. A., D’Silva, D. B., Wong, H. L., Garnham, A. L., Sandow, J. J., Nijagal, B., Wilson, N. S., & Wicks, I. P. (2023) · Clinical and Translational Medicine · doi:10.1002/ctm2.1150 · Cited by 18

Machine learning for metabolomics research in drug discovery

Martinelli, D. D. (2023) · Intelligence-Based Medicine · doi:10.1016/j.ibmed.2023.100101 · Cited by 19

Impact of Environmental Exposures on Human Breast Milk Lipidome in Future Immune-Mediated Diseases

Hyötyläinen, T., Ghaffarzadegan, T., Karthikeyan, B. S., Triplett, E. W., Orešič, M., & Ludvigsson, J. (2024) · Environmental Science & Technology · doi:10.1021/acs.est.3c06269 · Cited by 20

A Metadata description of the data in "A metabolomic comparison of urinary changes in type 2 diabetes in mouse, rat, and human."

Griffin, J. L., Atherton, H. J., Steinbeck, C., & Salek, R. M. (2011) · BMC Research Notes · doi:10.1186/1756-0500-4-272 · Cited by 18

Assessing Public Metabolomics Metadata, Towards Improving Quality

Ferreira, J. D., Inácio, B., Salek, R. M., & Couto, F. M. (2017) · Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics · doi:10.1515/jib-2017-0054 · Cited by 18

First Steps toward the Giant Panda Metabolome Database: Untargeted Metabolomics of Feces, Urine, Serum, and Saliva by 1H NMR

Zhu, C., Laghi, L., Zhang, Z., He, Y., Wu, D., Zhang, H., Huang, Y., Li, C., & Zou, L. (2020) · Journal of Proteome Research · doi:10.1021/acs.jproteome.9b00564 · Cited by 19

“-Omics” workflow for paleolimnological and geological archives: A review

Bell, M. A., & Blais, J. M. (2019) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2019.03.477 · Cited by 19

Plasma Metabolomics Analysis of Aspirin Treatment and Risk of Colorectal Adenomas

Barry, E. L., Fedirko, V., Jin, Y., Liu, K., Mott, L. A., Peacock, J. L., Passarelli, M. N., Baron, J. A., & Jones, D. P. (2022) · Cancer Prevention Research · doi:10.1158/1940-6207.capr-21-0555 · Cited by 16

Bioactive Compounds and Antioxidant Properties with Involved Mechanisms of Eugenia involucrata DC Fruits

Mannino, G., Serio, G., Asteggiano, A., Gatti, N., Bertea, C. M., Medana, C., & Gentile, C. (2022) · Antioxidants · doi:10.3390/antiox11091769 · Cited by 17

Providing metabolomics education and training: pedagogy and considerations

Winder, C. L., Witting, M. A., Tugizimana, F., Dunn, W. B., & Reinke, S. N. (2022) · Metabolomics · doi:10.1007/s11306-022-01957-w · Cited by 17

Use of remote sensing to assess vegetative stress as a proxy for soil contamination

Dean, J. R., Ahmed, S., Cheung, W., Salaudeen, I. A., Reynolds, M., Bowerbank, S. L., Nicholson, C. E., & Perry, J. J. B. (2023) · Environmental Science Processes & Impacts · doi:10.1039/d3em00480e · Cited by 19

Integrative open workflow for confident annotation and molecular networking of metabolomics MSE/DIA data

Neto, A. K., Alves, M. F., Bueno, P. C. P., Nicácio, K. D. J., Ferreira, M. S., Oliveira, T. B., Barbosa, H., Murgu, M., de Paula, A. C. C., Dias, D. F., et al. (2024) · Briefings in Bioinformatics · doi:10.1093/bib/bbae013 · Cited by 19

Metabolomics and Cardiovascular Risk in Patients with Heart Failure: A Systematic Review and Meta-Analysis

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