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Stephanie L. Pugh

NRG Oncology · US
Area of research
Pulmonary and Respiratory Medicine · Genetics
Research interest
Research interests include Glioma Diagnosis and Treatment, Prostate Cancer Diagnosis and Treatment, Prostate Cancer Treatment and Research, and Brain Metastases and Treatment.
h-index
38
citations
11,157
works
202
NIH funding
primary concept
Medicine
email

Recent publications

A Computational Pathology Model to Predict Docetaxel Benefit in Localized High-Risk and Metastatic Prostate Cancer.
2026cited by 0position: contributordoi
WF-1801: Single Arm Pilot Study of Ramipril for Prevention of Radiation-Induced Cognitive Decline in Glioblastoma Patients Receiving Chemoradiotherapy
Neuro-Oncology Practice 2026cited by 0position: contributordoi
Supplementary Table S4 from A Computational Pathology Model to Predict Docetaxel Benefit in Localized High-Risk and Metastatic Prostate Cancer
2026cited by 0position: contributordoi
Supplementary Figure S1 from Radiogenomic Profiling of Prostate Tumors prior to External Beam Radiotherapy Converges on a Transcriptomic Signature of TGF-β Activity Driving Tumor Recurrence
2026cited by 0position: contributordoi
Supplementary Figure S2 from Radiogenomic Profiling of Prostate Tumors prior to External Beam Radiotherapy Converges on a Transcriptomic Signature of TGF-β Activity Driving Tumor Recurrence
2026cited by 0position: contributordoi
Supplementary Methods S1 from A Computational Pathology Model to Predict Docetaxel Benefit in Localized High-Risk and Metastatic Prostate Cancer
2026cited by 0position: contributordoi
Supplementary Figure S4 from A Computational Pathology Model to Predict Docetaxel Benefit in Localized High-Risk and Metastatic Prostate Cancer
2026cited by 0position: contributordoi
Supplementary Table S2 from Radiogenomic Profiling of Prostate Tumors prior to External Beam Radiotherapy Converges on a Transcriptomic Signature of TGF-β Activity Driving Tumor Recurrence
2026cited by 0position: contributordoi
Supplementary Figure S9 from A Computational Pathology Model to Predict Docetaxel Benefit in Localized High-Risk and Metastatic Prostate Cancer
2026cited by 0position: contributordoi
Supplementary Table S2 from A Computational Pathology Model to Predict Docetaxel Benefit in Localized High-Risk and Metastatic Prostate Cancer
2026cited by 0position: contributordoi
Data from Radiogenomic Profiling of Prostate Tumors prior to External Beam Radiotherapy Converges on a Transcriptomic Signature of TGF-β Activity Driving Tumor Recurrence
2026cited by 0position: contributordoi
Supplementary Figure S5 from A Computational Pathology Model to Predict Docetaxel Benefit in Localized High-Risk and Metastatic Prostate Cancer
2026cited by 0position: contributordoi
Supplementary Table S5 from Radiogenomic Profiling of Prostate Tumors prior to External Beam Radiotherapy Converges on a Transcriptomic Signature of TGF-β Activity Driving Tumor Recurrence
2026cited by 0position: contributordoi
Supplementary Figure S11 from A Computational Pathology Model to Predict Docetaxel Benefit in Localized High-Risk and Metastatic Prostate Cancer
2026cited by 0position: contributordoi
Supplementary Figure S12 from A Computational Pathology Model to Predict Docetaxel Benefit in Localized High-Risk and Metastatic Prostate Cancer
2026cited by 0position: contributordoi
Supplementary Figure S3 from Radiogenomic Profiling of Prostate Tumors prior to External Beam Radiotherapy Converges on a Transcriptomic Signature of TGF-β Activity Driving Tumor Recurrence
2026cited by 0position: contributordoi
Supplementary Figure S8 from A Computational Pathology Model to Predict Docetaxel Benefit in Localized High-Risk and Metastatic Prostate Cancer
2026cited by 0position: contributordoi
Supplementary Figure S14 from A Computational Pathology Model to Predict Docetaxel Benefit in Localized High-Risk and Metastatic Prostate Cancer
2026cited by 0position: contributordoi
Supplementary Table S4 from Radiogenomic Profiling of Prostate Tumors prior to External Beam Radiotherapy Converges on a Transcriptomic Signature of TGF-β Activity Driving Tumor Recurrence
2026cited by 0position: contributordoi
Supplementary Table S3 from A Computational Pathology Model to Predict Docetaxel Benefit in Localized High-Risk and Metastatic Prostate Cancer
2026cited by 0position: contributordoi
Supplementary Figure S1 from A Computational Pathology Model to Predict Docetaxel Benefit in Localized High-Risk and Metastatic Prostate Cancer
2026cited by 0position: contributordoi
Supplementary Figure S10 from A Computational Pathology Model to Predict Docetaxel Benefit in Localized High-Risk and Metastatic Prostate Cancer
2026cited by 0position: contributordoi
Supplementary Figure S7 from A Computational Pathology Model to Predict Docetaxel Benefit in Localized High-Risk and Metastatic Prostate Cancer
2026cited by 0position: contributordoi
Supplementary Table S3 from Radiogenomic Profiling of Prostate Tumors prior to External Beam Radiotherapy Converges on a Transcriptomic Signature of TGF-β Activity Driving Tumor Recurrence
2026cited by 0position: contributordoi
Supplementary Table S5 from A Computational Pathology Model to Predict Docetaxel Benefit in Localized High-Risk and Metastatic Prostate Cancer
2026cited by 0position: contributordoi
Supplementary Table S1 from Radiogenomic Profiling of Prostate Tumors prior to External Beam Radiotherapy Converges on a Transcriptomic Signature of TGF-β Activity Driving Tumor Recurrence
2026cited by 0position: contributordoi
Supplementary Figure S3 from A Computational Pathology Model to Predict Docetaxel Benefit in Localized High-Risk and Metastatic Prostate Cancer
2026cited by 0position: contributordoi
Supplementary Table S1 from A Computational Pathology Model to Predict Docetaxel Benefit in Localized High-Risk and Metastatic Prostate Cancer
2026cited by 0position: contributordoi
Supplementary Figure S6 from A Computational Pathology Model to Predict Docetaxel Benefit in Localized High-Risk and Metastatic Prostate Cancer
2026cited by 0position: contributordoi
Supplementary Figure S2 from A Computational Pathology Model to Predict Docetaxel Benefit in Localized High-Risk and Metastatic Prostate Cancer
2026cited by 0position: contributordoi

Grants

No grants ingested yet.

Frequent collaborators

Minesh P. Mehta · Carbon Engineering (Canada)13 papers (2014–2022)Deborah Watkins Bruner · Emory University11 papers (2014–2022)Mark R. Gilbert · BC Centre for Disease Control9 papers (2014–2021)Minhee Won · American College of Radiology7 papers (2014–2022)Lisa A. Kachnic · Columbia University Irving Medical Center7 papers (2013–2023)David Brachman · Medical Technologies (Czechia)7 papers (2014–2021)Jeff M. Michalski · Washington University in St. Louis6 papers (2015–2021)Howard M. Sandler · Samueli Institute6 papers (2017–2021)Paul D. Brown · Radiation Oncology Associates6 papers (2014–2021)Benjamin Movsas · Michigan United5 papers (2013–2023)Thomas M. Pisansky · Indiana University – Purdue University Indianapolis5 papers (2014–2021)Walter J. Curran · Piedmont Atlanta Hospital5 papers (2014–2018)Adam P. Dicker · Thomas Jefferson University4 papers (2015–2023)Roger Stupp · Northwestern University4 papers (2015–2017)Jean-Paul Bahary · Indiana University – Purdue University Indianapolis4 papers (2016–2020)Snehal Deshmukh · P. D. Hinduja Hospital and Medical Research Centre4 papers (2015–2023) · 3 papers (2020–2021)Lawrence Berk · Boston Medical Center3 papers (2013–2017)Jeffrey S. Wefel · The University of Texas MD Anderson Cancer Center3 papers (2014–2021)Scott Lindhorst · Medical University of South Carolina3 papers (2019–2022)