Kevin Huynh

4.8k citations
83 papers · 2.0k indexed · h-index 24
Topics
Metabolomics and Mass Spectrometry Studies (21 papers)Adipose Tissue and Metabolism (12 papers)Lipid metabolism and biosynthesis (9 papers)

In The Last Decade

Kevin Huynh

78 papers receiving 2.0k citations

Peers

Kevin Huynh
Comparison fields: 5 of 128
  • Molecular Biology 1.0k
  • Physiology 493
  • Epidemiology 434
  • Endocrinology, Diabetes and Metabolism 258
  • Surgery 219
Replace Thomas K. Felder with:
Thomas K. Felder Austria
Aaron M. Armando United States
Paul W. Hake United States
Elisabeth Altmaier Germany
Miriam Hoene Germany
Julie Massart Sweden
Werner Römisch‐Margl Germany
Jacquelyn M. Weir Australia
Anastasia V. Poznyak Russia
Caroline Duval France
Kevin Huynh relative to Thomas K. Felder Austria Thomas K. Felder's profile →
Citations per field
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Thomas K. Felder · 1×
Citations per year

Countries citing papers authored by Kevin Huynh

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Kevin Huynh

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin Huynh. A scholar is included among the top collaborators of Kevin Huynh based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kevin Huynh. Kevin Huynh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
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3 5
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5 14
6 11
7 4
8 23
9 5
10 83
11 12
12 9
13 1
14 16
15 22
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20
Abstract 17413: Plasma Lipidomic Profiles in Two Large Independent Cohorts Improve Upon Conventional Risk Factors to Predict Cardiovascular Events
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) and Lipid metabolism and biosynthesis (9 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.

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