Multi‐omics‐based analysis of high grade serous ovarian cancer subtypes reveals distinct molecular processes linked to patient prognosis is a research paper published in FEBS Open Bio (2023). On theSindex it has a DataRank of 0.330. It has been cited 8 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
0.330
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 Institutes of Health
Grant: R01DK118243
National Institutes of Health
Grant: RF1AG057440
National Institutes of Health
Grant: U01AG046170
National Institutes of Health
Grant: U01AI111598
NCI NIH HHS
Grant: R01 CA204191
NIA NIH HHS
Grant: R01 AG006170
NCI NIH HHS
Grant: R01 CA208703
National Institutes of Health
Grant: 5U01AI111598-05
Omics-Based Predictive Modeling of Age-Dependent Outcome to Influenza Infection
National Institutes of Health
Grant: 1RF1AG057440-01
Towards a comprehensive signaling pathway map of parahippocampal vulnerability in Alzheimers Disease
National Institutes of Health
Grant: 5R01DK118243-02
Identifying Genetic Drivers of Expression Networks Causing Insulin Resistance
National Institutes of Health
Grant: 3U01AG046170-01S1
Accelerating Medicine Partnership in Alzheimer's Disease: Enabling collaborative
FWCI
0.84
Citation Percentile
0.7%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals