Kristin Ashby Source Confirmed

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Researcher

National Center for Toxicological Research

faculty

6 h-index 9 pubs 175 cited

Research Areas

Drug-Induced Hepatotoxicity and Protection Pharmacological Effects and Toxicity Studies Computational Drug Discovery Methods Metabolism and Genetic Disorders Liver Disease Diagnosis and Treatment Advanced Neural Network Applications Bioinformatics and Genomic Networks

Links

ORCID

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OverviewAI-generated summary

Kristin Ashby's research focuses on understanding drug-induced liver injury (DILI), investigating the factors that contribute to its development and prolonged recovery. Her work utilizes computational modeling and machine learning approaches to predict hepatotoxicity caused by drugs and chemicals. Recent publications explore the association of biochemical markers like elevated bilirubin and alkaline phosphatase with DILI recovery, and the role of drug metabolism and host genetic factors, specifically single-nucleotide polymorphisms, in predicting chronic DILI risk. Ashby also examines the contribution of drug transporters and metabolism pathways to DILI presentation in marketed drugs. She has a recent publication in 2023 on computational modeling for predicting hepatotoxicity. Ashby has a citation count of 175 and an h-index of 6 across 9 publications. She collaborates with researchers at the National Center for Toxicological Research, including Minjun Chen, Tsung-Jen Liao, Wei Zhuang, and R. E. Moore.

Metrics

  • h-index: 6
  • Publications: 9
  • Citations: 175

Selected Publications

  • Computational Modeling for the Prediction of Hepatotoxicity Caused by Drugs and Chemicals (2023) DOI
  • Machine Learning to Identify Interaction of Single-Nucleotide Polymorphisms as a Risk Factor for Chronic Drug-Induced Liver Injury (2021) DOI
  • Transporter, Drug Metabolism, and Drug‐Induced Liver Injury in Marketed Drugs (2021) DOI
  • Elevated bilirubin, alkaline phosphatase at onset, and drug metabolism are associated with prolonged recovery from DILI (2021) DOI
  • Drug properties and host factors contribute to biochemical presentation of drug-induced liver injury: a prediction model from a machine learning approach (2021) DOI

Collaborators

Researchers in the database who share publications

Minjun Chen National Center for Toxicological Research 5 shared publications Tsung‐Jen Liao National Center for Toxicological Research 2 shared publications Wei Zhuang National Center for Toxicological Research 1 shared publication R. E. Moore National Center for Toxicological Research 1 shared publication Leihong Wu National Center for Toxicological Research 1 shared publication

Similar Researchers

Based on overlapping research topics

Minjun Chen National Center for Toxicological Research
Drug-Induced Hepatotoxicity and Protection Pharmacological Effects and Toxicity Studies Computational Drug Discovery Methods
Good match 5 shared topics
Eric U. Yee University of Arkansas for Medical Sciences
Drug-Induced Hepatotoxicity and Protection Pharmacological Effects and Toxicity Studies Metabolism and Genetic Disorders
Good match 5 shared topics
Lydia M. Bilinsky National Center for Toxicological Research
Pharmacological Effects and Toxicity Studies Computational Drug Discovery Methods Metabolism and Genetic Disorders
Good match 4 shared topics
L C Schmued National Center for Toxicological Research
Drug-Induced Hepatotoxicity and Protection Pharmacological Effects and Toxicity Studies Metabolism and Genetic Disorders
Good match 3 shared topics
Grover Miller University of Arkansas for Medical Sciences
Drug-Induced Hepatotoxicity and Protection Pharmacological Effects and Toxicity Studies Computational Drug Discovery Methods
Good match 4 shared topics
Tsung‐Jen Liao National Center for Toxicological Research
Pharmacological Effects and Toxicity Studies Computational Drug Discovery Methods Liver Disease Diagnosis and Treatment
Good match 4 shared topics