Validation of liver quantitative susceptibility mapping across imaging parameters at 1.5 T and 3.0 T using SQUID susceptometry as reference is a research paper published in Magnetic Resonance in Medicine (2022). On theSindex it has a DataRank of 0. It has been cited 8 times.
Scored on demand from live citation data
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.
We only score data papers we can read in full — never from an abstract alone.
National Institutes of Health
Grant: R01‐DK088925
National Institutes of Health
Grant: R01‐DK100651
National Institutes of Health
Grant: R01‐DK117354
NIDDK NIH HHS
Grant: R01 DK100651
NIDDK NIH HHS
Grant: R01 DK117354
NIDDK NIH HHS
Grant: R01 DK088925
NIBIB NIH HHS
Grant: R01 EB031886
National Institutes of Health
Grant: 3R01DK088925-02S1
Technical Validation of MRI Biomarkers of Liver Fat
National Institutes of Health
Grant: 5R01DK117354-04
MRI-based Quantitative Susceptibility Mapping of Hepatic Iron Overload
National Institutes of Health
Grant: 5R01DK100651-04
Confounder-Corrected Quantitative MRI Biomarkers of Hepatic
Wisconsin Alumni Research Foundation
GE Healthcare
Stanford University
University of Wisconsin-Madison
FWCI
0.96
Citation Percentile
0.8%
Citation Trend
Fields of Study
MeSH Terms
Keywords