System-level optimization in spectroscopic photoacoustic imaging of prostate cancer is a research paper published in Photoacoustics (2022). On theSindex it has a DataRank of 0.616. It has been cited 22 times, with 12 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 β 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
0.470
From this paper's citation signal
Citation Network Contribution
0.146
From 6 citing papers with measurable signal
Ranked by each citer's contribution to N(p) β log1p(Cq) divided by its reference count β out of 12 citers.
National Science Foundation
Grant: 1653322
National Institutes of Health
Grant: CA134675
National Institutes of Health
Grant: CA183031
National Institutes of Health
Grant: CA184228
National Institutes of Health
Grant: EB024495
National Institutes of Health
Grant: R01HL139543
U.S. Department of Defense
Grant: W81XWH-18-1-0188
National Institutes of Health
Grant: 5P41EB024495-02
Resource for Molecular Imaging Agents in Precision Medicine
National Institutes of Health
Grant: 5R01HL139543-03
Development of real-time, non-invasive photoacoustic imaging to rapidly detect and track perinatal focal stroke at birth
National Institutes of Health
Grant: 5U01CA183031-02
PSMA Directed Imaging of Prostate Cancer Focus on Androgen Receptor Dynamics
National Institutes of Health
Grant: 5R01CA134675-03
PSMA-based Cancer Imaging Agents
National Institutes of Health
Grant: 2R01CA184228-06
Small Molecule PSMA-Targeted Alpha Therapy
National Institutes of Health
Grant: 5R01LM013039-02
HealthyMe/MiSalud Smartphone Application: Identifying Mechanisms to Engage African Americans and Hispanics in Personal Health Libraries
FWCI
1.51
Citation Percentile
0.8%
Citation Trend
Fields of Study
Keywords