Michelle Cinel

1.3k citations
10 papers · 488 · h-index 9

Impact in

  • Biochemistry top 10%
    • Lipid metabolism and biosynthesis
    • Adipose Tissue and Metabolism
    • Diet and metabolism studies

Papers in

    • Metabolomics and Mass Spectrometry Studies 6
    • Sphingolipid Metabolism and Signaling 1
    • Adipose Tissue and Metabolism 3
    • Diet and metabolism studies 2

Michelle Cinel

10 papers receiving 484 citations

Peers

Michelle Cinel
Comparison fields: 5 of 80
  • Biochemistry 62
  • Physiology 146
  • Molecular Biology 301
  • Spectroscopy 62
  • Virology 17
Replace Gemma L. MacIntosh with:
Gemma L. MacIntosh Australia
Anna Gruca Poland
M. F. B. Silva Portugal
Haneesha Mohan Canada
Sandra Levrand United States
Terry Spennetta United States
Björn Wahlstrand Sweden
Janne Makkonen Finland
Hans Caster Belgium
Francesco Palmas Italy
Michelle Cinel relative to Gemma L. MacIntosh Australia Gemma L. MacIntosh's profile →
Citations per field
00.5×3.4×
Gemma L. MacIntosh · 1×
Citations per year

Countries citing papers authored by Michelle Cinel

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Michelle Cinel Line = papers co-authored together Michelle Cinel links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2018220
2 202098
3 202333
4 202131
5 201530
6 201428
7 202020
8 202115
9 202011
10 20232

About Michelle Cinel

Michelle Cinel is a scholar working on Molecular Biology, Physiology, Epidemiology, Public Health, Environmental and Occupational Health and Genetics, having authored 10 papers that have together received 488 indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (6 papers), Adipose Tissue and Metabolism (3 papers), Lipid metabolism and biosynthesis (2 papers), Diet and metabolism studies (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers), HIV Research and Treatment (1 paper), Sphingolipid Metabolism and Signaling (1 paper) and HIV-related health complications and treatments (1 paper). The work is most often cited by research in Biochemistry (62 citations), Physiology (146 citations), Molecular Biology (301 citations), Spectroscopy (62 citations) and Virology (17 citations). Michelle Cinel has collaborated with scholars based in Australia, France and United States. 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, Nature Communications, Cell chemical biology and International Journal of Obesity.

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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