Carolina H. Chung
Biochemistry, Genetics and Molecular Biology · University of Michigan
Publications
30
Citations
318
Est. group size
~5
Recurring co-author estimate
Active years
8
Publishing since 2019
Typically publishes in teams of ~10 · 21% small-team papers (≤3 authors) · across 14 venues
- Targeting metabolism to combat anticancer and antibacterial drug resistance
Trends in Pharmacological Sciences · 2026
- Modeling Microbiome Modulation of Tumor Metabolic Networks to Predict Synergistic Therapies
bioRxiv (Cold Spring Harbor Laboratory) · 2026
- Protocol for single-cell optimization objective and trade-off inference
STAR Protocols · 2026
- TACTIC: A transfer learning framework to predict drug interactions in emerging pathogens
Cell Reports Methods · 2026
- Reprogramming <scp>SREBP1</scp> ‐dependent lipogenesis and inflammation in high‐risk breast with licochalcone A: A novel path to cancer prevention
International Journal of Cancer · 2025
- Abstract P1-03-12: Reprogramming SREBP1-dependent metabolism and inflammation in high-risk breast to prevent cancer: the example of licochalcone A
Clinical Cancer Research · 2025
- Reprogramming SREBP1-dependent lipogenesis and inflammation in high-risk breast with licochalcone A: a novel path to cancer prevention
bioRxiv (Cold Spring Harbor Laboratory) · 2024
- Correction: Acetyl-CoA metabolism drives epigenome change and contributes to carcinogenesis risk in fatty liver disease
Genome Medicine · 2023
- Leveraging Systems-level Metabolic Modeling and Machine Learning to Optimize Antibiotic Combination Therapy Design
Deep Blue (University of Michigan) · 2023
- Acetyl-CoA metabolism drives epigenome change and contributes to carcinogenesis risk in fatty liver disease
Genome Medicine · 2022
- Machine learning to design antimicrobial combination therapies: Promises and pitfalls
Drug Discovery Today · 2022
- A flux-based machine learning model to simulate the impact of pathogen metabolic heterogeneity on drug interactions
PNAS Nexus · 2022
- Additional file 4 of Acetyl-CoA metabolism drives epigenome change and contributes to carcinogenesis risk in fatty liver disease
Open MIND · 2022
- Additional file 3 of Acetyl-CoA metabolism drives epigenome change and contributes to carcinogenesis risk in fatty liver disease
Figshare · 2022
- Additional file 1 of Acetyl-CoA metabolism drives epigenome change and contributes to carcinogenesis risk in fatty liver disease
Figshare · 2022
- bioRxiv (Cold Spring Harbor Laboratory)×7
- Genome Medicine×2
- npj Breast Cancer×2
- SSRN Electronic Journal×2
- Figshare×2
- Xiang Cheng
Biochemistry, Genetics and Molecular Biology · The Ohio State University
- Deliang Guo
Biochemistry, Genetics and Molecular Biology · The Ohio State University
- Asmaa El-Kenawi
Biochemistry, Genetics and Molecular Biology · Indiana University
- Eswar Shankar
Biochemistry, Genetics and Molecular Biology · The Ohio State University
- Stephen D. Hursting
Biochemistry, Genetics and Molecular Biology · The Ohio State University
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 25, 2026.
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