# Citrine Informatics (United States)

**Type:** Institutions  
**Canonical URL:** https://scholariq.org/institutions/citrine-informatics-united-states/

## Facts

| Field | Value |
| --- | --- |
| Avg h-index | 3 |
| Citations | 13,048 |
| City | Redwood City |
| Country | US |
| Description | Citrine Informatics (United States) is a research organisation in Redwood City, US. OpenAlex records 128 works and 13,048 citations for it. 36 researchers list it as their most recent affiliation. |
| Homepage | https://www.citrine.io/ |
| OpenAlex ID | https://openalex.org/I4210143896 |
| Region | California |
| Researchers | 36 |
| ROR ID | https://ror.org/04wka5f51 |
| Type | company |
| Works | 128 |

## University papers

- [Cannabis-Responsive Biomarkers: A Pharmacometabolomics-Based Application to Evaluate the Impact of Medical Cannabis Treatment on Children with Autism Spectrum Disorder](https://scholariq.org/papers/cannabis-responsive-biomarkers-a-pharmacometabolomics-based-application-to/)
- [A machine learning approach for understanding the metabolomics response of children with autism spectrum disorder to medical cannabis treatment](https://scholariq.org/papers/a-machine-learning-approach-for-understanding-the-metabolomics-response-of/)
- [The Potential of Salivary Lipid-Based Cannabis-Responsive Biomarkers to Evaluate Medical Cannabis Treatment in Children with Autism Spectrum Disorder](https://scholariq.org/papers/the-potential-of-salivary-lipid-based-cannabis-responsive-biomarkers-to-evaluate/)
- [The Importance of Data Sources for Machine Learning Applications in Autism: A Mini Review](https://scholariq.org/papers/the-importance-of-data-sources-for-machine-learning-applications-in-autism-a/)
- [Cannabis-Responsive Biomarkers: Answering the Call for Critical Appraisal of Medical Cannabis](https://scholariq.org/papers/cannabis-responsive-biomarkers-answering-the-call-for-critical-appraisal-of/)

## University researchers

- [Itzhak Kurek](https://scholariq.org/researchers/itzhak-kurek/)

## University top topics

Showing 8 of 24.

- [Machine Learning in Materials Science](https://scholariq.org/topics/machine-learning-in-materials-science/)
- [X-ray Diffraction in Crystallography](https://scholariq.org/topics/x-ray-diffraction-in-crystallography/)
- [Computational Drug Discovery Methods](https://scholariq.org/topics/computational-drug-discovery-methods/)
- [Electronic and Structural Properties of Oxides](https://scholariq.org/topics/electronic-and-structural-properties-of-oxides/)
- [High Entropy Alloys Studies](https://scholariq.org/topics/high-entropy-alloys-studies/)
- [Fluid Dynamics and Turbulent Flows](https://scholariq.org/topics/fluid-dynamics-and-turbulent-flows/)
- [Hydrogen embrittlement and corrosion behaviors in metals](https://scholariq.org/topics/hydrogen-embrittlement-and-corrosion-behaviors-in-metals/)
- [Catalysis and Oxidation Reactions](https://scholariq.org/topics/catalysis-and-oxidation-reactions/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.