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A guide to reverse metabolomics—a framework for big data discovery strategy

Nature Protocols(2025)10.1038/s41596-024-01136-2Source: DataRank Database

A guide to reverse metabolomics—a framework for big data discovery strategy is a research paper published in Nature Protocols (2025). On theSindex it has a DataRank of 0. It has been cited 25 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access25 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (6 grants)Impact (FWCI 10.18)OA: greenTopics (20)IDs (PubMed, OpenAlex)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (15)

Helena Mannochio-Russo ORCID,Santosh Lamichhane ORCID,Shipei Xing ORCID,Abubaker Patan ORCID,Paulo Wender Portal Gomes ORCID

Live enrichment

PubMed:40021805 OpenAlex:https://openalex.org/W4408029127

Gordon and Betty Moore Foundation

Grant: GBMF12120

U.S. Department of Health & Human Services | National Institutes of Health

Grant: U24DK133658

U.S. Department of Health & Human Services | National Institutes of Health

Grant: R03OD034493

U.S. Department of Health & Human Services | National Institutes of Health

Grant: 5U24DK133658-02

Fonds de Recherche du Québec - Santé

Grant: 335368

U.S. Department of Energy

Grant: DE-AC02-05CH11231

FWCI

10.18

Citation Percentile

1.0%

Citation Trend

2025

2026

greenLicense: cc-by

repositoryhttps://research.abo.fi/en/publications/2fdb3f60-60c7-456a-9c31-d1654ad9c82c

publisherhttps://www.nature.com/articles/s41596-024-01136-2.pdf

publisherhttps://www.nature.com/articles/s41596-024-01136-2

journalhttps://doi.org/10.1038/s41596-024-01136-2

Fields of Study

Metabolomics and Mass Spectrometry StudiesNutrition, Genetics, and DiseaseNutritional Studies and Diet

MeSH Terms

Big DataAnimalsChromatography, LiquidHumansDatabases, FactualTandem Mass SpectrometryMetabolomicsData Mining

Keywords

MetabolomicsDrug discoveryComputational biologyData scienceBig dataComputer scienceBiologyBioinformaticsData mining