Plasma proteomic biomarker signature of age predicts health and life span is a research paper published in eLife (2020). On theSindex it has a DataRank of 0. It has been cited 221 times.
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National Institutes of Health
Grant: U01 AG060906
National Institutes of Health
Grant: K99 AG065484
NIMHD NIH HHS
Grant: R01 MD009164
FWCI
11.99
Citation Percentile
1.0%
Citation Trend
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Sustainable Development Goals
Additional file 1 of Clarifying the biological and statistical assumptions of cross-sectional biological age predictors: an elaborate illustration using synthetic and real data
Additional file 1 of Clarifying the biological and statistical assumptions of cross-sectional biological age predictors: an elaborate illustration using synthetic and real data
Additional file 2 of Clarifying the biological and statistical assumptions of cross-sectional biological age predictors: an elaborate illustration using synthetic and real data
Additional file 2 of Clarifying the biological and statistical assumptions of cross-sectional biological age predictors: an elaborate illustration using synthetic and real data
Additional file 1 of Combination of automated sample preparation and micro-flow LC–MS for high-throughput plasma proteomics
Additional file 1 of Combination of automated sample preparation and micro-flow LC–MS for high-throughput plasma proteomics
Additional file 2 of Combination of automated sample preparation and micro-flow LC–MS for high-throughput plasma proteomics
Additional file 2 of Combination of automated sample preparation and micro-flow LC–MS for high-throughput plasma proteomics
Additional file 3 of Combination of automated sample preparation and micro-flow LC–MS for high-throughput plasma proteomics
Additional file 3 of Combination of automated sample preparation and micro-flow LC–MS for high-throughput plasma proteomics