Accounting for nonlinear effects of gene expression identifies additional associated genes in transcriptome-wide association studies is a research paper published in Human Molecular Genetics (2022). On theSindex it has a DataRank of 0.385. It has been cited 12 times.
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Base Score Contribution
0.385
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: R01AG065636
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Grant: RF1AG067924
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Grant: U01AG073079
Minnesota Supercomputing Institute
Grant: #35107
NIA NIH HHS
Grant: U01 AG032984
Medical Research Council
Grant: MC_PC_17228
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Grant: MC_QA137853
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Grant: 1RF1AG067924-01
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Grant: 5U01AG073079-03
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Grant: 5R01AG065636-02
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FWCI
2.16
Citation Percentile
0.9%
Citation Trend
Fields of Study
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