# Matthew B. Schabath

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/matthew-b-schabath/

## Facts

| Field | Value |
| --- | --- |
| Citations | 21,547 |
| Field | Lung Cancer Diagnosis and Treatment |
| h-index | 66 |
| i10-index | 186 |
| Last Known Institution | Moffitt Cancer Center |
| OpenAlex ID | https://openalex.org/A5066835564 |
| ORCID iD | https://orcid.org/0000-0003-3241-3216 |
| Works | 540 |

## Researcher papers

- [Radiomics: the process and the challenges](https://scholariq.org/papers/radiomics-the-process-and-the-challenges/)
- [Large-scale association analysis identifies new lung cancer susceptibility loci and heterogeneity in genetic susceptibility across histological subtypes](https://scholariq.org/papers/large-scale-association-analysis-identifies-new-lung-cancer-susceptibility-loci/)
- [Obesity, metabolic factors and risk of different histological types of lung cancer: A Mendelian randomization study](https://scholariq.org/papers/obesity-metabolic-factors-and-risk-of-different-histological-types-of-lung/)
- [Differential association of STK11 and TP53 with KRAS mutation-associated gene expression, proliferation and immune surveillance in lung adenocarcinoma](https://scholariq.org/papers/differential-association-of-stk11-and-tp53-with-kras-mutation-associated-gene/)

## Researcher topics

- [Lung Cancer Diagnosis and Treatment](https://scholariq.org/topics/lung-cancer-diagnosis-and-treatment/)
- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)
- [Lung Cancer Treatments and Mutations](https://scholariq.org/topics/lung-cancer-treatments-and-mutations/)
- [LGBTQ Health, Identity, and Policy](https://scholariq.org/topics/lgbtq-health-identity-and-policy/)
- [Lung Cancer Research Studies](https://scholariq.org/topics/lung-cancer-research-studies/)

## Researcher university

- [Moffitt Cancer Center](https://scholariq.org/institutions/moffitt-cancer-center/)

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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.