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V. Fa · SciRah

Researcher profile · Semantic Scholar

V. Fa

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V. Fa — researcher profile on SciRah

h-index: 3
Works: 19
Citations: 74

Most-cited papers

Microarray analysis of spaceflown murine thymus tissue reveals changes in gene expression regulating stress and glucocorticoid receptors
Ty W. Lebsack, V. Fa, C. Woods, R. Gruener +6 more
2010Journal of Cellular Biochemistry56 citations
Semantic Scholar
Utilizing Serum-Derived Lipidomics with Protein Biomarkers and Machine Learning for Early Detection of Ovarian Cancer in the Symptomatic Population
Brendan M Giles, Rachel Culp-Hill, Robert A Law, Charles M Nichols +17 more
2025Cancer Research Communications8 citations
Semantic Scholar
Clinical Evaluation of a Multi-Omic Diagnostic Model for Early-Stage Ovarian Cancer Detection
Robert A Law, Brendan M Giles, Rachel Culp-Hill, E. Radnaa +14 more
2025Diagnostics4 citations
Semantic Scholar
Abstract IA023: Improved sensitivity of a multi-analyte early detection test based on mutation, methylation, aneuploidy, and protein biomarkers
Vladimir Gianullin, Leonardo N. Hagmann, Kevin J. Arvai, A. Djebbari +12 more
2023Cancer Prevention Research3 citations
Semantic Scholar
Abstract 72: Comprehensive liquid biopsy profiling enabled by PGDx elio plasmacomplete to facilitate precision oncology through decentralized access to testing
K. Valkenburg, Vito Caropreso, Jesse M. Fox, Christopher Gault +7 more
2022Cancer Research2 citations
Semantic Scholar
Abstract 1925: Development of a multi-omics diagnostic approach for the early detection of ovarian cancer in asymptomatic women
Rachel Culp-Hill, Charles M Nichols, Collin Hill, Brendan M Giles +12 more
2025Cancer Research1 citations
Semantic Scholar
A first-of-its-kind multi-omic assay using lipids and proteins to identify early-stage ovarian cancer in symptomatic individuals.
Abigail McElhinny, Rachel Culp-Hill, Brendan M Giles, S. Kilkenny +9 more
2026Journal of Clinical Oncology0 citations
Semantic Scholar
A novel serum-based multi-omic machine learning model improves early detection of ovarian cancer in the symptomatic population
Anna Jeter, Rachel Culp-Hill, Brendan M Giles, Robert A Law +9 more
2026Gynecologic Oncology0 citations
Semantic Scholar
Multi-Omics Profiling in a Symptomatic Cohort Identifies Coordinated Biomarker Signatures in Ovarian Cancer Serum
Rachel Culp-Hill, Charles M Nichols, S. Kilkenny, Mattie Goldberg +9 more
2026Diagnostics0 citations Open access
Semantic Scholar
Performance of a multi-biomarker class, multi-cancer early detection (MCED) blood test in a prospectively collected cohort.
Vladimir G. Gainullin, Mael Manesse, Fang-Lei Zhuang, Melissa Gray +24 more
2026Cancer Epidemiology, Biomarkers and Prevention0 citations Open access
Semantic Scholar
Abstract 2031: Reproducible serum metabolomics drives biomarker discovery in ovarian cancer.
Rachel Culp-Hill, Brendan M Giles, Mattie Goldberg, Robert A Law +8 more
2026Cancer Research0 citations
Semantic Scholar
Abstract 2547: Translating to targeted: Bridging discovery lipidomics to multi-omic clinical diagnostic application in ovarian cancer detection
Rachel Culp-Hill, Charles M Nichols, Yu Han, Brendan M Giles +12 more
2026Cancer Research0 citations
Semantic Scholar
Identification of tumor-marker ganglioside in serum for detection of ovarian cancer
Abigail McElhinny, Rachel Culp-Hill, Charles M Nichols, Collin Hill +7 more
2025Gynecologic Oncology0 citations
Semantic Scholar
Global lipidomics analysis of early- and late-stage ovarian cancer serum.
Rachel Culp-Hill, Charles M Nichols, Robert A Law, E. Radnaa +4 more
2025Journal of Clinical Oncology0 citations
Semantic Scholar
Abstract LB253: Utilizing serum-derived lipidomics with protein biomarkers and machine learning for early detection of ovarian cancer in the symptomatic population
Rachel Culp-Hill, Charles M Nichols, Brendan M Giles, Robert A Law +6 more
2025Cancer Research0 citations
Semantic Scholar
Performance of a multi-target, multi-cancer early detection (MCED) blood test in a prospectively collected cohort
Vladimir G. Gainullin, Mael Manesse, Fang-Lei Zhuang, Melissa Gray +24 more
2025medRxiv0 citations Open access
Semantic Scholar
Abstract B019: Serum-based multi-omic signatures of ovarian cancer in women with vague abdominal symptoms: analysis of two independent cohorts
Rachel Culp-Hill, Brendan M Giles, Charles M Nichols, Robert A Law +7 more
2025Cancer Research0 citations
Semantic Scholar
A multi-omics approach using lipids and proteins for early detection in individuals with signs and symptoms of ovarian cancer.
Rachel Culp-Hill, Charles M Nichols, Brendan M Giles, Robert A Law +8 more
2025Journal of Clinical Oncology0 citations
Semantic Scholar
Molecular analysis ofpatients ofSardinian descent withCrigler-Naj jarsyndrome typeI
M. Rosatelli, Antonella Meloni, V. Fa, L. Saba +5 more
19970 citations
Semantic Scholar

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