Unique and shared transcriptomic signatures underlying localized scleroderma pathogenesis identified using interpretable machine learning is a research paper published in JCI Insight (2025). On theSindex it has a DataRank of 0.269. It has been cited 5 times.
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Base Score Contribution
0.269
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.
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Grant: P50AR060780
NIH HHS
Grant: S10 OD028483
NIAID NIH HHS
Grant: DP2 AI164325
NIAMS NIH HHS
Grant: R01 AR073516
NIAMS NIH HHS
Grant: R01 AR078560
National Institutes of Health
Grant: 5R01AR073516-02
Refining outcome measures through observational cohorts to advance trials in morphea
National Institutes of Health
Grant: 5P50AR060780-02
NIAMS: CORT
National Institutes of Health
Grant: 5R01AR078560-03
Ancillary studies to define dysregulated immune and fibrotic pathways in a well-characterized morphea cohort
National Institutes of Health
Grant: 5DP2AI164325-04
Using three-dimensional protein networks to uncover immuno-modulatory molecular phenotypes in infectious disease
National Institutes of Health
Grant: 1S10OD028483-01A1
High-Throughput Computing for Genomics and Bioinformatics Research
National Science Foundation
Grant: 2117681
MRI: Acquisition of Cutting-Edge GPU and MPI Nodes for the Interdisciplinary Pitt Center for Research Computing
FWCI
4.38
Citation Percentile
0.9%
Citation Trend
Fields of Study
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