Patrick M. Forde

Johns Hopkins University

Full Professor(heuristic)

Cancer Immunotherapy and Biomarkers · Oncology

h-index66

i10-index162

Publications543

Citations19,690

Grants

No NSF/NIH grants on record.

Career Trajectory

Research Cluster Map

Direct collaborators. Node size = influence, colour = community, dashed = past collaboration.

Potential Collaborators

Recent Publications

Last 2 years · showing 20 of 97

Supplementary Figure S6 from plasmaCHORD: A Machine Learning Approach to Distinguish Clonal Hematopoiesis–Derived Variants in Liquid Biopsies from Patients with Solid Tumors
2026-06-17
Supplementary Figure S5 from plasmaCHORD: A Machine Learning Approach to Distinguish Clonal Hematopoiesis–Derived Variants in Liquid Biopsies from Patients with Solid Tumors
2026-06-17
Supplementary Table S5 from Serial Plasma Comprehensive Genomic Profiling Captures Therapy Resistance and Guides Management of Non–Small Cell Lung Cancer
2026-06-17
Supplementary Table S10 from Serial Plasma Comprehensive Genomic Profiling Captures Therapy Resistance and Guides Management of Non–Small Cell Lung Cancer
2026-06-17
Supplementary Figure S1 from plasmaCHORD: A Machine Learning Approach to Distinguish Clonal Hematopoiesis–Derived Variants in Liquid Biopsies from Patients with Solid Tumors
2026-06-17
Data from Serial Plasma Comprehensive Genomic Profiling Captures Therapy Resistance and Guides Management of Non–Small Cell Lung Cancer
2026-06-17
Table 1 from Serial Plasma Comprehensive Genomic Profiling Captures Therapy Resistance and Guides Management of Non–Small Cell Lung Cancer
2026-06-17
Supplementary Figure S2 from Serial Plasma Comprehensive Genomic Profiling Captures Therapy Resistance and Guides Management of Non–Small Cell Lung Cancer
2026-06-17
Supplementary Table S3 from Serial Plasma Comprehensive Genomic Profiling Captures Therapy Resistance and Guides Management of Non–Small Cell Lung Cancer
2026-06-17
Supplementary Figure S3 from plasmaCHORD: A Machine Learning Approach to Distinguish Clonal Hematopoiesis–Derived Variants in Liquid Biopsies from Patients with Solid Tumors
2026-06-17
Supplementary Table S7 from Serial Plasma Comprehensive Genomic Profiling Captures Therapy Resistance and Guides Management of Non–Small Cell Lung Cancer
2026-06-17
Figure 1 from Serial Plasma Comprehensive Genomic Profiling Captures Therapy Resistance and Guides Management of Non–Small Cell Lung Cancer
2026-06-17
Supplementary Figure S7 from plasmaCHORD: A Machine Learning Approach to Distinguish Clonal Hematopoiesis–Derived Variants in Liquid Biopsies from Patients with Solid Tumors
2026-06-17
Supplementary Table S4 from Serial Plasma Comprehensive Genomic Profiling Captures Therapy Resistance and Guides Management of Non–Small Cell Lung Cancer
2026-06-17
Supplementary Figure S2 from plasmaCHORD: A Machine Learning Approach to Distinguish Clonal Hematopoiesis–Derived Variants in Liquid Biopsies from Patients with Solid Tumors
2026-06-17
Supplementary Figure S3 from Serial Plasma Comprehensive Genomic Profiling Captures Therapy Resistance and Guides Management of Non–Small Cell Lung Cancer
2026-06-17
Supplementary Figure S5 from Serial Plasma Comprehensive Genomic Profiling Captures Therapy Resistance and Guides Management of Non–Small Cell Lung Cancer
2026-06-17
Supplementary Table S2 from Serial Plasma Comprehensive Genomic Profiling Captures Therapy Resistance and Guides Management of Non–Small Cell Lung Cancer
2026-06-17
Supplementary Figure S1 from Serial Plasma Comprehensive Genomic Profiling Captures Therapy Resistance and Guides Management of Non–Small Cell Lung Cancer
2026-06-17
Supplementary Table S1 from Serial Plasma Comprehensive Genomic Profiling Captures Therapy Resistance and Guides Management of Non–Small Cell Lung Cancer
2026-06-17

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