MRI-Based Model for Personalizing Neoadjuvant Treatment in Breast Cancer is a research paper published in Tomography (2025). On theSindex it has a DataRank of 0.300. It has been cited 4 times, with 4 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?
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.
Base Score Contribution
0.241
From this paper's citation signal
Citation Network Contribution
0.0584
From 1 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 4 citers.
NIH HHS
Grant: R01 CA132870
NIH/NCI
Grant: R01 CA255442
NIH HHS
Grant: P01 CA210961
NIH/NCI
Grant: U01 CA225427
National Institutes of Health
Grant: 5R01CA132870-10
Real-time In Vivo MRI Biomarkers for Breast Cancer Pre-Operative Treatment Trials
National Institutes of Health
Grant: 1R01CA255442-01
Strategy for combining circulating tumor DNA (ctDNA) and magnetic resonance imaging (MRI) measures of tumor burden for prediction of response and outcome in neoadjuvant-treated early breast cancer
National Institutes of Health
Grant: 1P01CA210961-01A1
I-SPY2 +: Evolving the I-SPY 2 TRIAL to include MRI-directed, adaptive sequential treatment to optimize breast cancer outcomes
National Institutes of Health
Grant: 5U01CA225427-02
Quantitative Imaging for Assessing Breast Cancer Response to Treatment
FWCI
1.99
Citation Percentile
0.8%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals