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Michael Siani-Rose
ResearcherPublications, citations & collaboration network
Michael Siani-Rose is a researcher indexed in ScholarIQ from OpenAlex & ORCID. ScholarIQ records 4 works, 46 citations, an h-index of 3 and an i10-index of 2.
4
Works
46
Citations
3
h-index
2
i10-index
IDs:OpenAlex
How has Michael Siani-Rose's publication output changed over time?
ScholarIQpublication output · 2021–2023
Output grew100% over the shown period — from 1 works in 2021 to 2 in 2023.
1
1
2
202120222023
What are the most-cited papers on Michael Siani-Rose?
ScholarIQmost cited works
Cannabis-Responsive Biomarkers: A Pharmacometabolomics-Based Application to Evaluate the Impact of Medical Cannabis Treatment on Children with Autism Spectrum Disorder
Michael Siani-Rose, Stephany Cox, Bonni Goldstein, Donald I. Abrams, Myiesha Taylor, Itzhak Kurek
Cannabis and Cannabinoid Research. 202126 CitationsOPEN ACCESS
A machine learning approach for understanding the metabolomics response of children with autism spectrum disorder to medical cannabis treatment
Jean-Christophe Quillet, Michael Siani-Rose, R. J. McKee, Bonni Goldstein, Myiesha Taylor, Itzhak Kurek
Scientific Reports. 202312 CitationsOPEN ACCESS
The Potential of Salivary Lipid-Based Cannabis-Responsive Biomarkers to Evaluate Medical Cannabis Treatment in Children with Autism Spectrum Disorder
Michael Siani-Rose, R. J. McKee, Stephany Cox, Bonni Goldstein, Donald I. Abrams, Myiesha Taylor, Itzhak Kurek
Cannabis and Cannabinoid Research. 20228 Citations
The Importance of Data Sources for Machine Learning Applications in Autism: A Mini Review
Itzhak Kurek, Jean-Christophe Quillet, Michael Siani-Rose
Journal of Neurology and Neuromedicine. 20230 CitationsOPEN ACCESS
Related on ScholarIQ
Cole Engineering Services (United States)
Institution
Cannabis-Responsive Biomarkers: A Pharmacometabolomics-Based Application to Evaluate the Impact of Medical Cannabis Treatment on Children with Autism Spectrum Disorder
Paper
A machine learning approach for understanding the metabolomics response of children with autism spectrum disorder to medical cannabis treatment
Paper
The Potential of Salivary Lipid-Based Cannabis-Responsive Biomarkers to Evaluate Medical Cannabis Treatment in Children with Autism Spectrum Disorder
Paper
The Importance of Data Sources for Machine Learning Applications in Autism: A Mini Review
Paper
Cannabis and Cannabinoid Research
Topic