Data-Driven Multi-Objective Optimization Tactics for Catalytic Asymmetric Reactions Using Bisphosphine Ligands is a research paper published in Journal of the American Chemical Society (2022). On theSindex it has a DataRank of 0. It has been cited 111 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.
We only score data papers we can read in full — never from an abstract alone.
Division of Chemistry
Grant: CHE-1925607
Division of Chemistry
Grant: CHE2202693
National Institute of General Medical Sciences
Grant: F32-GM140529
National Science Foundation
Grant: 1925607
CCI Phase I: NSF Center for Computer Assisted Synthesis
National Science Foundation
Grant: 2202693
NSF Center for Computer-Assisted Synthesis
National Institutes of Health
Grant: 1F32GM140529-01
A Data-Driven Approach to Chiroptical Sensor Development
NIGMS NIH HHS
Grant: F32 GM140529
FWCI
12.51
Citation Percentile
1.0%
Citation Trend
Fields of Study
MeSH Terms
Keywords