Kevin Huynh
- Biochemistry top 2%
- Lipid metabolism and biosynthesis 9
- Biological Psychiatry top 10%
- Physiology top 5%
- Adipose Tissue and Metabolism 12
- Diet and metabolism studies 6
- Molecular Biology top 10%
- Metabolomics and Mass Spectrometry Studies 21
- Peroxisome Proliferator-Activated Receptors 7
- Sphingolipid Metabolism and Signaling 6
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- Fatty Acid Research and Health 7
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- Liver Disease Diagnosis and Treatment 7
- Co-authors
- Peter J. MeikleNatalie A. MellettCorey GilesKaushala S. JayawardanaChristopher K. BarlowMichelle CinelDianna J. MaglianoMatthew J. Watt
- Journals
- Journal of Biological Chemistry (1 paper)Circulation (1 paper)Nature Communications (3 papers)
- Partner nations
- AustraliaUnited StatesCanada
In The Last Decade
Kevin Huynh
78 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 128
- Biochemistry 217
- Biological Psychiatry 57
- Physiology 493
- Endocrinology, Diabetes and Metabolism 258
- Molecular Biology 1.0k
Countries citing papers authored by Kevin Huynh
This map shows the geographic impact of Kevin Huynh's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Kevin Huynh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin Huynh more than expected).
Fields of papers citing papers by Kevin Huynh
This network shows the impact of papers produced by Kevin Huynh. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kevin Huynh. The network helps show where Kevin Huynh may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kevin Huynh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 3 | |
| 3 | 2024 | 5 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 14 | |
| 6 | 2023 | 11 | |
| 7 | 2023 | 4 | |
| 8 | 2022 | 23 | |
| 9 | 2022 | 5 | |
| 10 | 2021 | 83 | |
| 11 | 2021 | 12 | |
| 12 | 2021 | 9 | |
| 13 | 2021 | 1 | |
| 14 | 2020 | 16 | |
| 15 | 2020 | 22 | |
| 16 | 2019 | 16 | |
| 17 | 2018 | 19 | |
| 18 | 2017 | 23 | |
| 19 | 2017 | 32 | |
| 20 | Abstract 17413: Plasma Lipidomic Profiles in Two Large Independent Cohorts Improve Upon Conventional Risk Factors to Predict Cardiovascular Events | 2016 | 1 |
About Kevin Huynh
Kevin Huynh is a scholar working on Biochemistry, Biological Psychiatry and Physiology, having authored 83 papers that have together received 2.0k indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (21 papers), Adipose Tissue and Metabolism (12 papers), Lipid metabolism and biosynthesis (9 papers), Peroxisome Proliferator-Activated Receptors (7 papers), Fatty Acid Research and Health (7 papers), Liver Disease Diagnosis and Treatment (7 papers), Diet and metabolism studies (6 papers) and Sphingolipid Metabolism and Signaling (6 papers). The work is most often cited by research in Biochemistry (217 citations), Biological Psychiatry (57 citations) and Physiology (493 citations). Kevin Huynh has collaborated with scholars based in Australia, United States and Canada. Frequent co-authors include Peter J. Meikle, Natalie A. Mellett, Corey Giles, Kaushala S. Jayawardana, Christopher K. Barlow, Michelle Cinel, Dianna J. Magliano, Matthew J. Watt, Jonathan E. Shaw and Jacquelyn M. Weir. Their work appears in journals such as Journal of Biological Chemistry, Circulation and Nature Communications.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.