Metabolomics

Aims & Scope

Metabolomics publishes current research regarding the development of technology platforms for metabolomics.

This includes, but is not limited to: metabolomic applications within man, including pre-clinical and clinical pharmacometabolomics for precision medicine metabolic profiling and fingerprinting metabolite target analysis metabolomic applications within animals, plants and microbes transcriptomics and proteomics in systems biology Metabolomics is an indispensable platform for researchers using new post-genomics approaches, to discover networks and interactions between metabolites, pharmaceuticals, SNPs, proteins and more.

Its articles go beyond the genome and metabolome, by including original clinical study material together with big data from new emerging technologies.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	3.3
2024	3.50

SJR (SCImago Journal Rank)

Year	Value
2024	0.835

Quartile

Year	Value
2024	Q2

h-index

Year	Value
2024	103

Journal Rank

Year	Value
2024	6369

Journal Citation Indicator

Year	Value
2024	1039

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science
• Medline
• Embase

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Biochemistry, Genetics and Molecular Biology and Medicine, designed to support cutting-edge academic discovery.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Proposed minimum reporting standards for chemical analysis

  Citation: 4146

  Authors: Lloyd W., Alexander, Dave, Michael H., Richard, Clare A., Teresa W.-M., Oliver, Royston, Julian L., Thomas, Nigel, James, Richard, Joachim, Andrew N., John C., Philip, Andrew W., Michael D., John J., Mark R.

• Assessment of PLSDA cross validation

  Citation: 1237

  Authors: Johan A., Huub C. J., Suzanne, Daniel J., Age K., Ewoud J. J., John P. M., Ferdi A.

• Capillary electrophoresis mass spectrometry-based saliva metabolomics identified oral, breast and pancreatic cancer-specific profiles

  Citation: 840

  Authors: Masahiro, David T., Akiyoshi, Tomoyoshi, Masaru

• Translational biomarker discovery in clinical metabolomics: an introductory tutorial

  Citation: 789

  Authors: Jianguo, David I., Michael, David S.

• Double-check: validation of diagnostic statistics for PLS-DA models in metabolomics studies

  Citation: 696

  Authors: Ewa, Edoardo, Age K., Johan A.

• Statistical strategies for avoiding false discoveries in metabolomics and related experiments

  Citation: 684

  Authors: David I., Douglas B.

• Environmental metabolomics: a critical review and future perspectives

  Citation: 684

  Authors: Jacob G., Matthew P., Mark R.

• Guidelines and considerations for the use of system suitability and quality control samples in mass spectrometry assays applied in untargeted clinical metabolomic studies

  Citation: 682

  Authors: David, Royston, Stacey N., Julia, Ian D., Matthew R., Warwick B.

• Reflections on univariate and multivariate analysis of metabolomics data

  Citation: 511

  Authors: Edoardo, Huub C. J., Age K., Johan A., Margriet M. W. B.

• Metabolomics enables precision medicine: “A White Paper, Community Perspective”

  Citation: 468

  Authors: Richard D., Warwick, Michael A., Steven S., Jennifer A., Marta, Lorraine, David S., Matej, Thomas, David I., Andrew N., Karsten, Gabi, Susan J., Ines, Oliver, Rima

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