Michelle Cinel
Impact in
- Biochemistry top 10%
- Lipid metabolism and biosynthesis
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- Adipose Tissue and Metabolism
- Diet and metabolism studies
Papers in
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- Metabolomics and Mass Spectrometry Studies 6
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- Adipose Tissue and Metabolism 3
- Diet and metabolism studies 2
- Co-authors
- Peter J. Meikle (10 shared papers)Natalie A. Mellett (7 shared papers)Kevin Huynh (7 shared papers)Dianna J. Magliano (6 shared papers)Jacquelyn M. Weir (3 shared papers)Jonathan E. Shaw (4 shared papers)Kaushala S. Jayawardana (2 shared papers)Christopher K. Barlow (1 shared paper)
- Journals
- PLoS Biology (2 papers)Journal of Lipid Research (1 paper)The Journal of Clinical Endocrinology & Metabolism (1 paper)Nature Communications (1 paper)Cell chemical biology (1 paper)
- Partner nations
- AustraliaUnited StatesFrance
In The Last Decade
Michelle Cinel
10 papers receiving 509 citations
Peers
Comparison fields: 5 of 76
- Biochemistry 52
- Physiology 105
- Molecular Biology 291
- Spectroscopy 61
- Nutrition and Dietetics 50
Countries citing papers authored by Michelle Cinel
This map shows the geographic impact of Michelle Cinel'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 Michelle Cinel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michelle Cinel more than expected).
Fields of papers citing papers by Michelle Cinel
This network shows the impact of papers produced by Michelle Cinel. 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 Michelle Cinel. The network helps show where Michelle Cinel may publish in the future.
Co-authors
The 25 scholars most cited alongside Michelle Cinel, 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 | 2018 | 229 | |
| 2 | 2020 | 101 | |
| 3 | 2023 | 41 | |
| 4 | 2021 | 33 | |
| 5 | 2015 | 32 | |
| 6 | 2014 | 28 | |
| 7 | 2020 | 20 | |
| 8 | 2021 | 16 | |
| 9 | 2020 | 11 | |
| 10 | 2023 | 3 |
About Michelle Cinel
Michelle Cinel is a scholar working on Molecular Biology, Physiology, Epidemiology, Public Health, Environmental and Occupational Health and Health, Toxicology and Mutagenesis, having authored 10 papers that have together received 514 indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (6 papers), Adipose Tissue and Metabolism (3 papers), Diet and metabolism studies (2 papers), Advanced Proteomics Techniques and Applications (1 paper), Fatty Acid Research and Health (1 paper), Nutrition, Genetics, and Disease (1 paper), HIV-related health complications and treatments (1 paper) and Sex and Gender in Healthcare (1 paper). The work is most often cited by research in Biochemistry (52 citations), Physiology (105 citations), Molecular Biology (291 citations), Spectroscopy (61 citations) and Nutrition and Dietetics (50 citations). Michelle Cinel has collaborated with scholars based in Australia, United States and France. Frequent co-authors include Peter J. Meikle, Natalie A. Mellett, Kevin Huynh, Dianna J. Magliano, Jacquelyn M. Weir, Jonathan E. Shaw, Kaushala S. Jayawardana, Christopher K. Barlow, Brian G. Drew and Corey Giles. Their work appears in journals such as PLoS Biology, Journal of Lipid Research, The Journal of Clinical Endocrinology & Metabolism, Nature Communications and Cell chemical biology.
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.