Guy Biélicki

705 citations
25 papers · 541 · h-index 14

Impact in

Papers in

Guy Biélicki

25 papers receiving 526 citations

Peers

Guy Biélicki
Comparison fields: 5 of 93
  • Animal Science and Zoology 99
  • Neurology 81
  • Clinical Biochemistry 31
  • Cellular and Molecular Neuroscience 82
  • Radiology, Nuclear Medicine and Imaging 96
Replace Yoichi Tamai with:
Yoichi Tamai Japan
Verónica Berta Dorfman Argentina
A. V. Lorenzo United States
J. Winckler Germany
A. Brand Germany
V. Cigánková Slovakia
Stephanie L. Fowler United States
L. L. Costantin United States
Yasutaka Noda Japan
Felix M. Barker United States
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Citations per field
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Citations per year

Countries citing papers authored by Guy Biélicki

Since Specialization
Citations

This map shows the geographic impact of Guy Biélicki'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 Guy Biélicki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guy Biélicki more than expected).

Fields of papers citing papers by Guy Biélicki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guy Biélicki. 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 Guy Biélicki. The network helps show where Guy Biélicki may publish in the future.

Co-authors

The 25 scholars most cited alongside Guy Biélicki, 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 Guy Biélicki Line = papers co-authored together Guy Biélicki links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201278
2 200357
3 200755
4 200651
5 200737
6 199432
7 201028
8 199424
9 200624
10 200420
11 199519
12 201418
13 200516
14 200416
15 20059
16 20129
17 19938
18 20087
19 20127
20 19987

About Guy Biélicki

Guy Biélicki is a scholar working on Molecular Biology, Physiology, Cellular and Molecular Neuroscience, Radiology, Nuclear Medicine and Imaging and Cell Biology, having authored 25 papers that have together received 541 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (6 papers), Advanced MRI Techniques and Applications (6 papers), Muscle metabolism and nutrition (6 papers), Neuroscience and Neuropharmacology Research (6 papers), Metabolism and Genetic Disorders (5 papers), Mitochondrial Function and Pathology (5 papers), Parkinson's Disease Mechanisms and Treatments (4 papers) and Neurological disorders and treatments (4 papers). The work is most often cited by research in Animal Science and Zoology (99 citations), Neurology (81 citations), Clinical Biochemistry (31 citations), Cellular and Molecular Neuroscience (82 citations) and Radiology, Nuclear Medicine and Imaging (96 citations). Guy Biélicki has collaborated with scholars based in France, Morocco and Tunisia. Frequent co-authors include Jean‐Pierre Renou, Carine Chassain, Franck Durif, Patrick Ritz, Loïc Foucat, Pierre Gachon, Didier D. Micol, Soraya Benderbous, Agnès Cornu and Claire Agabriel. Their work appears in journals such as NMR in Biomedicine, Journal of Nutrition, Magnetic Resonance Imaging, The Journal of Nutritional Biochemistry and Journal of Neurochemistry.

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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