Engineering human spinal microphysiological systems to model opioid-induced tolerance is a research paper published in Bioactive Materials (2022). On theSindex it has a DataRank of 0.538. It has been cited 35 times.
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
0.538
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.
Learn more about DataRank methodology →National Science Foundation
Grant: CMMI-2025434
NIDA NIH HHS
Grant: R01 DA047858
NIDDK NIH HHS
Grant: R01 DK133864
National Science Foundation
Grant: CCF-1909509
National Institutes of Health
Grant: DA047858
National Institutes of Health
Grant: DA056242
NIAID NIH HHS
Grant: DP2 AI160242
NIDA NIH HHS
Grant: U01 DA056242
National Science Foundation
Grant: 2025434
ISS: Unveiling the Mechanical Roles of Gravity and Buoyancy in Embryonic Brain and Heart Torsion
National Institutes of Health
Grant: 1DP2AI160242-01
An acoustofluidic avidity cytometer for massive parallel profiling single autoreactive T cell in autoimmune disease
National Science Foundation
Grant: 1909509
FET: Small: A Portable and Intelligent Testing System for Power-efficient and Accurate Foodborne Pathogen Detection
NSF
Indiana University Bloomington
FWCI
3.51
Citation Percentile
0.9%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals