Computer prediction and genetic analysis identifies retinoic acid modulation as a driver of conserved longevity pathways in genetically diverse Caenorhabditis nematodes is a research paper published in eLife (2024). On theSindex it has a DataRank of 0.104. It has been cited 1 time.
Scored on demand from live citation data
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DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
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Base Score Contribution
0.104
From this paper's citation signal
Citation Network Contribution
0
Citation network not refreshed for this result
This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.
Learn more about DataRank methodology →National Institutes of Health
Grant: AG045844
National Institutes of Health
Grant: AG045864
National Institutes of Health
Grant: AG045829
National Institutes of Health
Grant: AG056052
NIA NIH HHS
Grant: U01 AG045829
NIA NIH HHS
Grant: U01 AG045864
NIH HHS
Grant: P40 OD010440
NIA NIH HHS
Grant: U01 AG045844
NIA NIH HHS
Grant: U24 AG056052
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals