# Ugo Pastorino

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/ugo-pastorino/

## Facts

| Field | Value |
| --- | --- |
| Citations | 29,698 |
| Field | Lung Cancer Diagnosis and Treatment |
| h-index | 84 |
| i10-index | 320 |
| Last Known Institution | Tumori Foundation |
| OpenAlex ID | https://openalex.org/A5039981930 |
| ORCID iD | https://orcid.org/0000-0001-9974-7902 |
| Works | 718 |

## Researcher papers

- [Comprehensive genomic profiles of small cell lung cancer](https://scholariq.org/papers/comprehensive-genomic-profiles-of-small-cell-lung-cancer/)
- [IASLC Multidisciplinary Recommendations for Pathologic Assessment of Lung Cancer Resection Specimens After Neoadjuvant Therapy](https://scholariq.org/papers/iaslc-multidisciplinary-recommendations-for-pathologic-assessment-of-lung-cancer/)
- [Integrative genomic profiling of large-cell neuroendocrine carcinomas reveals distinct subtypes of high-grade neuroendocrine lung tumors](https://scholariq.org/papers/integrative-genomic-profiling-of-large-cell-neuroendocrine-carcinomas-reveals/)
- [Integrative and comparative genomic analyses identify clinically relevant pulmonary carcinoid groups and unveil the supra-carcinoids](https://scholariq.org/papers/integrative-and-comparative-genomic-analyses-identify-clinically-relevant/)

## Researcher topics

- [Lung Cancer Diagnosis and Treatment](https://scholariq.org/topics/lung-cancer-diagnosis-and-treatment/)
- [Lung Cancer Treatments and Mutations](https://scholariq.org/topics/lung-cancer-treatments-and-mutations/)
- [Lung Cancer Research Studies](https://scholariq.org/topics/lung-cancer-research-studies/)
- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)
- [RNA modifications and cancer](https://scholariq.org/topics/rna-modifications-and-cancer/)

## Researcher university

- [Tumori Foundation](https://scholariq.org/institutions/tumori-foundation/)

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