Diego de Miguel-Perez

About Diego de Miguel-Perez

Diego de Miguel-Perez, With an exceptional h-index of 17 and a recent h-index of 17 (since 2020), a distinguished researcher at University of Maryland, Baltimore, specializes in the field of Liquid biopsy - Cancer.

His recent articles reflect a diverse array of research interests and contributions to the field:

Engineered EVs for cancer drug delivery and therapeutics

Validation of a multiomic model of plasma extracellular vesicle PD-L1 and radiomics for prediction of response to immunotherapy in NSCLC

Clinical utility of Next Generation Sequencing of plasma cell-free DNA for the molecular profiling of patients with NSCLC at diagnosis and disease progression

Genomic profiling of tissue and blood predicts survival outcomes in patients with resected pleural mesothelioma

Circulating epithelial cell as viral infection and tissue origin marker in patients with severe COVID-19

Baseline extracellular vesicle miRNA-30c and autophagic CTCs predict chemoradiotherapy resistance and outcomes in patients with lung cancer

Extracellular vesicles as mediators of resistance to EGFR-tyrosine kinase inhibitors in non-small cell lung cancer preclinical models

Early Non-Small Cell Lung Cancer Heterogeneity and Recurrence Assessed by Tissue Next-Generation Sequencing Genotyping and Circulating Tumor Cell EZH2 Characterization

Diego de Miguel-Perez Information

University

Position

___

Citations(all)

1016

Citations(since 2020)

931

Cited By

302

hIndex(all)

17

hIndex(since 2020)

17

i10Index(all)

25

i10Index(since 2020)

25

Email

University Profile Page

Google Scholar

Diego de Miguel-Perez Skills & Research Interests

Liquid biopsy - Cancer

Top articles of Diego de Miguel-Perez

Engineered EVs for cancer drug delivery and therapeutics

2024/4/23

Diego De Miguel-Perez
Diego De Miguel-Perez

H-Index: 10

Validation of a multiomic model of plasma extracellular vesicle PD-L1 and radiomics for prediction of response to immunotherapy in NSCLC

Journal of Experimental & Clinical Cancer Research

2024/3/15

Clinical utility of Next Generation Sequencing of plasma cell-free DNA for the molecular profiling of patients with NSCLC at diagnosis and disease progression

Translational Oncology

2024/3/1

Genomic profiling of tissue and blood predicts survival outcomes in patients with resected pleural mesothelioma

European Journal of Cancer

2024/1/1

Circulating epithelial cell as viral infection and tissue origin marker in patients with severe COVID-19

The Journal of Liquid Biopsy

2023/12/1

Diego De Miguel-Perez
Diego De Miguel-Perez

H-Index: 10

Baseline extracellular vesicle miRNA-30c and autophagic CTCs predict chemoradiotherapy resistance and outcomes in patients with lung cancer

Biomarker Research

2023/11/15

Extracellular vesicles as mediators of resistance to EGFR-tyrosine kinase inhibitors in non-small cell lung cancer preclinical models

The Journal of Liquid Biopsy

2023/11/1

Early Non-Small Cell Lung Cancer Heterogeneity and Recurrence Assessed by Tissue Next-Generation Sequencing Genotyping and Circulating Tumor Cell EZH2 Characterization

The Journal of Liquid Biopsy

2023/11/1

Extracellular Vesicles Carry SARS-COV-2 Proteins Associated With Lower Antibody Production, Cardiovascular Complications, and Worse Outcomes in Patients With Severe COVID-19

The Journal of Liquid Biopsy

2023/11/1

P1. 21-06 Extracellular Vesicles and Radiomics Predict Durable Response to Immune-Checkpoint Inhibitors in Patients with Non-small Cell Lung Cancer

Journal of Thoracic Oncology

2023/11/1

Tracking Clonal Evolution of EGFR-Mutated Non-Small Cell Lung Cancer Through Liquid Biopsy: Management of C797S Acquired Mutation

Clinical Lung Cancer

2023/11/1

Alessandro Russo
Alessandro Russo

H-Index: 24

Diego De Miguel-Perez
Diego De Miguel-Perez

H-Index: 10

Impact of Tyrosine Kinase Inhibitors on the Immune Response to SARS-CoV-2 Vaccination in Patients with Non-Small Cell Lung Cancer

Vaccines

2023/10/19

Diego De Miguel-Perez
Diego De Miguel-Perez

H-Index: 10

Gene-network analysis predicts clinical response to immunotherapy in patients affected by NSCLC

Lung Cancer

2023/9/1

Genomic Landscape of Primary Resistance to Osimertinib Among Hispanic Patients with EGFR-Mutant Non-Small Cell Lung Cancer (NSCLC): Results of an …

Targeted Oncology

2023/5

Predictive capability of PD-L1 protein expression for patients with advanced NSCLC: Any differences based on histology?

2023/4/25

Diego De Miguel-Perez
Diego De Miguel-Perez

H-Index: 10

PD. 01.03 Genomic Landscape of Primary-Resistance to Osimertinib among Hispanic Patients With EGFR-Mutant Non-Small-Cell Lung Cancer: Results of an Observational Longitudinal …

Journal of Thoracic Oncology

2023/3/1

Baseline extracellular vesicle TGF‐β is a predictive biomarker for response to immune checkpoint inhibitors and survival in non–small cell lung cancer

Cancer

2023/2/15

Microfluidic systems in extracellular vesicles single analysis. A systematic review

2023/2/1

Matias Regiart
Matias Regiart

H-Index: 10

Diego De Miguel-Perez
Diego De Miguel-Perez

H-Index: 10

EP16. 03-002 Mechanisms of Resistance to First-line Osimertinib in Hispanic Patients with EGFR mutant Non-Small Cell Lung Cancer (FRESTON-CLICaP∫)

Journal of Thoracic Oncology

2022/9/1

P2. 13-01 Low EV miR-30c Levels as Biomarker of Increased Tumor Autophagy and Chemoradiotherapy Resistance in Locally Advanced NSCLC

Journal of Thoracic Oncology

2022/9/1

See List of Professors in Diego de Miguel-Perez University(University of Maryland, Baltimore)