A semiempirical and machine learning approach for fragment-based structural analysis of non-hydroxamate HDAC3 inhibitors is a research paper published in Biophysical Chemistry (2025). On theSindex it has a DataRank of 0.165. It has been cited 2 times.
Scored on demand from live citation data
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.
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Base Score Contribution
0.165
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 →European Cooperation in Science and Technology
Grant: CA21113
Science and Engineering Research Board
Grant: MTR/2022/000286
European Cooperation in Science and Technology
FWCI
3.06
Citation Percentile
0.9%
Citation Trend
Fields of Study
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Keywords