# Andrew Kasarskis

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/andrew-kasarskis/

## Facts

| Field | Value |
| --- | --- |
| Citations | 56,506 |
| Field | Antibiotic Resistance in Bacteria |
| h-index | 49 |
| i10-index | 94 |
| Last Known Institution | Icahn School of Medicine at Mount Sinai |
| OpenAlex ID | https://openalex.org/A5032714338 |
| ORCID iD | https://orcid.org/0000-0001-6454-9076 |
| Works | 203 |

## Researcher papers

- [Machine Learning to Predict Mortality and Critical Events in a Cohort of Patients With COVID-19 in New York City: Model Development and Validation](https://scholariq.org/papers/machine-learning-to-predict-mortality-and-critical-events-in-a-cohort-of/)

## Researcher topics

- [Antibiotic Resistance in Bacteria](https://scholariq.org/topics/antibiotic-resistance-in-bacteria/)
- [Inflammatory Bowel Disease](https://scholariq.org/topics/inflammatory-bowel-disease/)
- [Cancer Genomics and Diagnostics](https://scholariq.org/topics/cancer-genomics-and-diagnostics/)
- [Antimicrobial Resistance in Staphylococcus](https://scholariq.org/topics/antimicrobial-resistance-in-staphylococcus/)
- [Genomics and Rare Diseases](https://scholariq.org/topics/genomics-and-rare-diseases/)

## Researcher university

- [Icahn School of Medicine at Mount Sinai](https://scholariq.org/institutions/icahn-school-of-medicine-at-mount-sinai/)

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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.