Pilot corpus: NIH-funded biomedical datasets. Any DOI can be scored on demand — network effects sharpen as coverage grows.

Protein turnover models for LC–MS data of heavy water metabolic labeling

Briefings in Bioinformatics(2021)10.1093/bib/bbab598Source: DataRank Database

Protein turnover models for LC–MS data of heavy water metabolic labeling is a research paper published in Briefings in Bioinformatics (2021). On theSindex it has a DataRank of 0. It has been cited 13 times.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access13 citations

Download PDF

Cite:

Linked data & code

uniprot

DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?

›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (2 grants)Impact (FWCI 0.71)OA: greenTopics (28)IDs (PubMed, PMC, OpenAlex)Annotations (1)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

FAIR checklist signals are shown for context only and do not affect DataRank scoring.

Run a calibrated FAIR evaluation for this paper →

We only score data papers we can read in full — never from an abstract alone.

Authors (1)

Rovshan G. Sadygov ORCID

Live enrichment

PubMed:35062023 PMC:PMC8921656 OpenAlex:https://openalex.org/W4207024035

NIH

Grant: R01GM112044

National Institutes of Health

Grant: 5R01GM112044-03

Data-Driven Models of the Dynamic Proteome in NAFLD

FWCI

0.71

Citation Percentile

0.7%

Citation Trend

2022

2023

2024

2025

2026

greenLicense: OUP Standard Publication Reuse

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/8921656

publisherhttps://academic.oup.com/bib/article-pdf/23/2/bbab598/42805114/bbab598.pdf

journalhttps://doi.org/10.1093/bib/bbab598

repositoryhttps://pubmed.ncbi.nlm.nih.gov/35062023

Fields of Study

Metabolomics and Mass Spectrometry StudiesAdvanced Proteomics Techniques and ApplicationsMass Spectrometry Techniques and Applications0303 health sciences03 medical and health sciences

MeSH Terms

Chromatography, LiquidIsotope LabelingPeptidesDeuterium OxideTandem Mass SpectrometryProteolysis

Keywords

Protein turnoverChemistryComputer scienceComputational biologyChromatographyBiochemistryBiologyProtein biosynthesisEvolution Of Deuterium-enriched Mass IsotopomersNonlinear Models Of Time Course DataRate Constant Estimation From Metabolic Labeling With Heavy Water Followed By Liquid Chromatography – Mass Spectrometry (Lc–ms)Tandem Mass SpectrometryIsotope LabelingProteolysisDeuterium OxidePeptidesChromatography, Liquid

Sustainable Development Goals

SDG 0: Clean water and sanitation