Match tier
Likely match
Presence
Current · Arkansas
Last published
2025
Sources
OpenAlex · ORCID
Refreshed
2026-10-06
D
Donna L. Mendrick
This is a likely match — the affiliation was inferred from OpenAlex, ORCID, and web sources but has not been fully confirmed. Treat with appropriate caution.
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Also affiliated: Human Genome Sciences (United States) (1996–2000); University of North Carolina at Chapel Hill (2015); Brigham and Women's Hospital (1986–2015); Environmental Protection Agency (2015–2024); United States Food and Drug Administration (2009–2025); Harvard University (1986–2015); Howard University (2024); University of Georgia (2024); University of California, San Francisco (1996); University of Milan (2024); University of Washington (2015); Genome Canada (2004); National Institute of Environmental Health Sciences (2015); Dana-Farber Cancer Institute (1986); Charles River Laboratories (United States) (2024); Dana-Farber/Harvard Cancer Center (1986); Health and Environmental Sciences Institute (2015); Dana-Farber Brigham Cancer Center (1986); Génome et Transcriptome - Plateforme Génomique (2004); University at Buffalo, State University of New York (1980–1981); Mississippi State University (2024)
41 h-index
100 pubs
9,092 cited
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Donna L. Mendrick's research has focused on understanding cellular activation and inflammatory responses, particularly in endothelial cells. Her early work investigated the induction of specific antigens on human vascular endothelial cells by cytokines such as interleukin 1 and tumor necrosis factor. She has also explored the identification of adhesion molecules involved in endothelial-leukocyte interactions.
Mendrick's more recent publications indicate a shift towards toxicological research, including a comparative toxicogenomic analysis of the hepatotoxic effects of TCDD in rats and mice. Her work also extends to the molecular mechanisms of cellular differentiation, as seen in her research on collagen integrin receptors and osteoblast differentiation. Her scholarship metrics include an h-index of 41, over 100 publications, and more than 9,000 citations, designating her as a highly cited researcher.
She leads a research group and has collaborated with researchers such as Dayton M. Petibone and Qiang Shi, both from the National Center for Toxicological Research. Her recent activity and 2025 publication demonstrate ongoing engagement in scientific inquiry.
Metrics
- h-index: 41
- Publications: 100
- Citations: 9,092
Selected Publications
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Considerations from the pharmaceutical industry (IQ MPS affiliate) workshop on animal microphysiological systems and 3Rs in drug development (2025)
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Biology-inspired dynamic microphysiological system approaches to revolutionize basic research, healthcare and animal welfare (2025)
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Potential value of animal microphysiological systems (2024)
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Protecting Human and Animal Health: The Road from Animal Models to New Approach Methods (2024)
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Gaps and challenges in nonclinical assessments of pharmaceuticals: An FDA/CDER perspective on considerations for development of new approach methodologies (2023)
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Co‐Culture of Human Primary Hepatocytes and Nonparenchymal Liver Cells in the Emulate® Liver‐Chip for the Study of Drug‐Induced Liver Injury (2022)
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The Gut Microbiome and Xenobiotics: Identifying Knowledge Gaps (2020)
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An FDA/CDER perspective on nonclinical testing strategies: Classical toxicology approaches and new approach methodologies (NAMs) (2020)
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“Natural” is not synonymous with “Safe”: Toxicity of natural products alone and in combination with pharmaceutical agents (2020)
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A hybrid gene selection approach to create the S1500+ targeted gene sets for use in high-throughput transcriptomics (2018)
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Metabolic Syndrome and Associated Diseases: From the Bench to the Clinic (2017)
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Proteomic analysis of acetaminophen-induced hepatotoxicity and identification of heme oxygenase 1 as a potential plasma biomarker of liver injury (2016)
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sNebula, a network-based algorithm to predict binding between human leukocyte antigens and peptides (2016)
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The Next Generation of Risk Assessment Multi-Year Study—Highlights of Findings, Applications to Risk Assessment, and Future Directions (2016)
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Adverse outcome pathways: From research to regulation scientific workshop report (2016)
Collaboration Network
Top Collaborators
Xi Yang
National Center for Toxicological Research (US)
12 shared publications
- Potential of extracellular microRNAs as biomarkers of acetaminophen toxicity in children
- Identification of Urinary microRNA Profiles in Rats That May Diagnose Hepatotoxicity
- Proteomic analysis of acetaminophen-induced hepatotoxicity and identification of heme oxygenase 1 as a potential plasma biomarker of liver injury
- Biomarkers of Tobacco Smoke Exposure
- Circulating extracellular vesicles as a potential source of new biomarkers of drug-induced liver injury
Showing 5 of 12 shared publications
Weida Tong
National Center for Toxicological Research
10 shared publications
In database
- In silico drug repositioning – what we need to know
- Molecular Docking to Identify Associations Between Drugs and Class I Human Leukocyte Antigens for Predicting Idiosyncratic Drug Reactions
- Machine Learning Methods for Predicting HLA-Peptide Binding Activity
- Understanding and predicting binding between human leukocyte antigens (HLAs) and peptides by network analysis
- Evaluating variations of genotype calling: a potential source of spurious associations in genome-wide association studies
Showing 5 of 10 shared publications
Qiang Shi
National Center for Toxicological Research
9 shared publications
In database
- Potential of extracellular microRNAs as biomarkers of acetaminophen toxicity in children
- Identification of Urinary microRNA Profiles in Rats That May Diagnose Hepatotoxicity
- Circulating extracellular vesicles as a potential source of new biomarkers of drug-induced liver injury
- Co‐Culture of Human Primary Hepatocytes and Nonparenchymal Liver Cells in the Emulate® Liver‐Chip for the Study of Drug‐Induced Liver Injury
- Green tea epigallocatechin gallate binds to and inhibits respiratory complexes in swelling but not normal rat hepatic mitochondria
Showing 5 of 9 shared publications
William F. Salminen
National Center for Toxicological Research (US)
8 shared publications
- Potential of extracellular microRNAs as biomarkers of acetaminophen toxicity in children
- Identification of Urinary microRNA Profiles in Rats That May Diagnose Hepatotoxicity
- Proteomic analysis of acetaminophen-induced hepatotoxicity and identification of heme oxygenase 1 as a potential plasma biomarker of liver injury
- Green tea epigallocatechin gallate binds to and inhibits respiratory complexes in swelling but not normal rat hepatic mitochondria
- Evaluating effects of penicillin treatment on the metabolome of rats
Showing 5 of 8 shared publications
Huixiao Hong
National Center for Toxicological Research
7 shared publications
In database
- Molecular Docking to Identify Associations Between Drugs and Class I Human Leukocyte Antigens for Predicting Idiosyncratic Drug Reactions
- Machine Learning Methods for Predicting HLA-Peptide Binding Activity
- Biomarker-Based Drug Safety Assessment in the Age of Systems Pharmacology: From Foundational to Regulatory Science
- sNebula, a network-based algorithm to predict binding between human leukocyte antigens and peptides
- Understanding and predicting binding between human leukocyte antigens (HLAs) and peptides by network analysis
Showing 5 of 7 shared publications
William B. Mattes
National Center for Toxicological Research
7 shared publications
In database
- Potential of extracellular microRNAs as biomarkers of acetaminophen toxicity in children
- Biomarkers of Tobacco Smoke Exposure
- Green tea epigallocatechin gallate binds to and inhibits respiratory complexes in swelling but not normal rat hepatic mitochondria
- Understanding and predicting binding between human leukocyte antigens (HLAs) and peptides by network analysis
- Translating Extracellular Microrna into Clinical Biomarkers for Drug-Induced Toxicity: from High-Throughput Profiling to Validation
Showing 5 of 7 shared publications
Richard D. Beger
National Center for Toxicological Research
6 shared publications
In database
- Potential of extracellular microRNAs as biomarkers of acetaminophen toxicity in children
- Proteomic analysis of acetaminophen-induced hepatotoxicity and identification of heme oxygenase 1 as a potential plasma biomarker of liver injury
- Evaluating effects of penicillin treatment on the metabolome of rats
- Identification of a metabolic biomarker panel in rats for prediction of acute and idiosyncratic hepatotoxicity
- Circulating Mitochondrial Biomarkers for Drug-Induced Liver Injury
Showing 5 of 6 shared publications
Heng Luo
University of Arkansas at Little Rock (US)
5 shared publications
- Molecular Docking to Identify Associations Between Drugs and Class I Human Leukocyte Antigens for Predicting Idiosyncratic Drug Reactions
- Machine Learning Methods for Predicting HLA-Peptide Binding Activity
- sNebula, a network-based algorithm to predict binding between human leukocyte antigens and peptides
- Understanding and predicting binding between human leukocyte antigens (HLAs) and peptides by network analysis
- HLADR: A Database System for Enhancing the Discovery of Biomarkers for Predicting Human Leukocyte Antigen-Mediated Idiosyncratic Adverse Drug Reactions
James Greenhaw
National Center for Toxicological Research
5 shared publications
In database
- Potential of extracellular microRNAs as biomarkers of acetaminophen toxicity in children
- Identification of Urinary microRNA Profiles in Rats That May Diagnose Hepatotoxicity
- Evaluating effects of penicillin treatment on the metabolome of rats
- Identification of a metabolic biomarker panel in rats for prediction of acute and idiosyncratic hepatotoxicity
- Comprehensive analysis of alterations in lipid and bile acid metabolism by carbon tetrachloride using integrated transcriptomics and metabolomics
Laura K. Schnackenberg
National Center for Toxicological Research
5 shared publications
In database
- Co‐Culture of Human Primary Hepatocytes and Nonparenchymal Liver Cells in the Emulate® Liver‐Chip for the Study of Drug‐Induced Liver Injury
- Genomic and Metabolomic Advances in the Identification of Disease and Adverse Event Biomarkers
- Evaluating effects of penicillin treatment on the metabolome of rats
- Identification of a metabolic biomarker panel in rats for prediction of acute and idiosyncratic hepatotoxicity
- Comprehensive analysis of alterations in lipid and bile acid metabolism by carbon tetrachloride using integrated transcriptomics and metabolomics
Leming Shi
4 shared publications
- Molecular Docking to Identify Associations Between Drugs and Class I Human Leukocyte Antigens for Predicting Idiosyncratic Drug Reactions
- Evaluating variations of genotype calling: a potential source of spurious associations in genome-wide association studies
- HLADR: A Database System for Enhancing the Discovery of Biomarkers for Predicting Human Leukocyte Antigen-Mediated Idiosyncratic Adverse Drug Reactions
- Potential Sources of Spurious Associations and Batch Effects in Genome‐Wide Association Studies
Jinchun Sun
National Center for Toxicological Research
4 shared publications
In database
- Proteomic analysis of acetaminophen-induced hepatotoxicity and identification of heme oxygenase 1 as a potential plasma biomarker of liver injury
- Evaluating effects of penicillin treatment on the metabolome of rats
- Identification of a metabolic biomarker panel in rats for prediction of acute and idiosyncratic hepatotoxicity
- Comprehensive analysis of alterations in lipid and bile acid metabolism by carbon tetrachloride using integrated transcriptomics and metabolomics
Paul C. Brown
United States Food and Drug Administration (US)
4 shared publications
- An FDA/CDER perspective on nonclinical testing strategies: Classical toxicology approaches and new approach methodologies (NAMs)
- Gaps and challenges in nonclinical assessments of pharmaceuticals: An FDA/CDER perspective on considerations for development of new approach methodologies
- Potential value of animal microphysiological systems
- Considerations from the pharmaceutical industry (IQ MPS affiliate) workshop on animal microphysiological systems and 3Rs in drug development
Peng Zhou
3 shared publications
- Molecular Docking to Identify Associations Between Drugs and Class I Human Leukocyte Antigens for Predicting Idiosyncratic Drug Reactions
- Green tea epigallocatechin gallate binds to and inhibits respiratory complexes in swelling but not normal rat hepatic mitochondria
- HLADR: A Database System for Enhancing the Discovery of Biomarkers for Predicting Human Leukocyte Antigen-Mediated Idiosyncratic Adverse Drug Reactions
Hui Wen Ng
National Center for Toxicological Research (US)
3 shared publications
- Machine Learning Methods for Predicting HLA-Peptide Binding Activity
- sNebula, a network-based algorithm to predict binding between human leukocyte antigens and peptides
- Understanding and predicting binding between human leukocyte antigens (HLAs) and peptides by network analysis
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