Defining heritability, plasticity, and transition dynamics of cellular phenotypes in somatic evolution is a research paper published in Nature Genetics (2024). On theSindex it has a DataRank of 0.879. It has been cited 36 times, with 33 citing works in its 1-hop citation network.
Scored on demand from live citation data
Linked data & code
DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
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Base Score Contribution
0.542
From this paper's citation signal
Citation Network Contribution
0.337
From 21 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 33 citers.
NCI NIH HHS
Grant: DP2 CA239145
NCI NIH HHS
Grant: R01 CA258763
NIGMS NIH HHS
Grant: T32 GM152349
NINDS NIH HHS
Grant: UG3 NS132139
NIGMS NIH HHS
Grant: T32 GM007739
NHGRI NIH HHS
Grant: RM1 HG011014
NHLBI NIH HHS
Grant: R01 HL157387
NCI NIH HHS
Grant: R33 CA267219
National Institutes of Health
Grant: 1R01HL157387-01A1
Charting the differentiation topology of SF3B1 mutated clonal hematopoiesis (CH) and myelodysplastic syndromes (MDS) via a multi-omics single-cell toolkit
National Institutes of Health
Grant: 1UG3NS132139-01
Single-Cell Multi-omics to Link Clonal Mosaicism (CM) Genotypes with Chromatin, Epigenomic, Transcriptomic and Protein Phenotypes
National Institutes of Health
Grant: 7DP2CA239145-02
Creating a Catalog of Cancer Clonotype Drug Sensitivities with Single-CellGenome Sequencing
National Institutes of Health
Grant: 5RM1HG011014-02
Center for Integrated Cellular Analysis
National Institutes of Health
Grant: 5R33CA267219-03
Expanding the GoT toolkit to link single-cell clonal genotypes with protein, transcriptomic, epigenomic and spatial phenotypes
National Institutes of Health
Grant: 5T32GM007739-30
Weill Cornell/Rockefeller/Sloan-Kettering MST Program
National Institutes of Health
Grant: 5R01CA258763-04
Deciphering heritability, plasticity and differentiation trajectories in gliomas via single-cell multi-omics
FWCI
14.99
Citation Percentile
1.0%
Citation Trend
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