Michael Benzinou

876 total citations
9 papers, 389 citations indexed

About

Michael Benzinou is a scholar working on Pharmacology, Endocrine and Autonomic Systems and Molecular Biology. According to data from OpenAlex, Michael Benzinou has authored 9 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Pharmacology, 3 papers in Endocrine and Autonomic Systems and 2 papers in Molecular Biology. Recurrent topics in Michael Benzinou's work include Cannabis and Cannabinoid Research (2 papers), Biochemical Analysis and Sensing Techniques (2 papers) and Diet, Metabolism, and Disease (2 papers). Michael Benzinou is often cited by papers focused on Cannabis and Cannabinoid Research (2 papers), Biochemical Analysis and Sensing Techniques (2 papers) and Diet, Metabolism, and Disease (2 papers). Michael Benzinou collaborates with scholars based in France, United Kingdom and Netherlands. Michael Benzinou's co-authors include Philippe Froguel, Stephen Eyre, Cécile Lecœur, Beverley Balkau, Charles A. Mein, Barbara Heude, Christian Dina, Marie‐Aline Charles, Andrew J. Walley and Béatrice Jouret and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Diabetes and Human Molecular Genetics.

In The Last Decade

Michael Benzinou

9 papers receiving 374 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michael Benzinou France 9 126 99 99 94 90 9 389
Marie Fournier France 11 57 0.5× 134 1.4× 77 0.8× 85 0.9× 51 0.6× 27 445
Lívia Bitencourt Pascoal Brazil 12 116 0.9× 109 1.1× 136 1.4× 107 1.1× 109 1.2× 33 501
A. Berthold Germany 9 85 0.7× 154 1.6× 138 1.4× 100 1.1× 42 0.5× 15 439
Kristin E. Claflin United States 14 57 0.5× 278 2.8× 183 1.8× 102 1.1× 59 0.7× 19 570
Björn Stenström Norway 12 36 0.3× 106 1.1× 165 1.7× 166 1.8× 202 2.2× 19 523
Mi-Seon Shin South Korea 10 85 0.7× 143 1.4× 96 1.0× 50 0.5× 74 0.8× 15 443
Isabel Göhring Germany 8 99 0.8× 137 1.4× 106 1.1× 83 0.9× 62 0.7× 8 380
Akiyoshi Fukamizu Japan 6 25 0.2× 119 1.2× 87 0.9× 43 0.5× 31 0.3× 7 370
Stephanie R. Villa United States 8 73 0.6× 167 1.7× 109 1.1× 16 0.2× 81 0.9× 8 363
Lia C. Romano United States 8 83 0.7× 95 1.0× 263 2.7× 205 2.2× 91 1.0× 9 452

Countries citing papers authored by Michael Benzinou

Since Specialization
Citations

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

Fields of papers citing papers by Michael Benzinou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Benzinou

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Benzinou. A scholar is included among the top collaborators of Michael Benzinou 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 Michael Benzinou. Michael Benzinou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
2.
Freimuth, Julia, Dominique S. Meyer, Michael Benzinou, et al.. (2014). Genetic variants of Adam17 differentially regulate TGFβ signaling to modify vascular pathology in mice and humans. Proceedings of the National Academy of Sciences. 111(21). 7723–7728. 36 indexed citations
3.
Xiao, Yong‐Fu, et al.. (2013). Xylazine-induced reduction of tissue sensitivity to insulin leads to acute hyperglycemia in diabetic and normoglycemic monkeys. BMC Anesthesiology. 13(1). 33–33. 26 indexed citations
4.
Gueorguiev, Maria, Cécile Lecœur, Stephen Eyre, et al.. (2009). Association Studies on Ghrelin and Ghrelin Receptor Gene Polymorphisms With Obesity. Obesity. 17(4). 745–754. 57 indexed citations
5.
Gueorguiev, Maria, Cécile Lecœur, Michael Benzinou, et al.. (2008). A Genetic Study of the Ghrelin and Growth Hormone Secretagogue Receptor (GHSR) Genes and Stature. Annals of Human Genetics. 73(1). 1–9. 19 indexed citations
6.
Benzinou, Michael, Jean-Claude Chèvre, Kirsten Ward, et al.. (2008). Endocannabinoid receptor 1 gene variations increase risk for obesity and modulate body mass index in European populations. Human Molecular Genetics. 17(13). 1916–1921. 87 indexed citations
7.
Durand, Emmanuelle, Cécile Lecœur, Jérôme Delplanque, et al.. (2008). Evaluating the Association of <i>FAAH</i> Common Gene Variation with Childhood, Adult Severe Obesity and Type 2 Diabetes in the French Population. Obesity Facts. 1(6). 305–309. 19 indexed citations
8.
Benzinou, Michael, Andrew J. Walley, Marie‐Aline Charles, et al.. (2006). Bardet-Biedl Syndrome Gene Variants Are Associated With Both Childhood and Adult Common Obesity in French Caucasians. Diabetes. 55(10). 2876–2882. 72 indexed citations
9.
Bell, Christopher G., Michael Benzinou, Afshan Siddiq, et al.. (2004). Genome-wide Linkage Analysis for Severe Obesity in French Caucasians Finds Significant Susceptibility Locus on Chromosome 19q. Diabetes. 53(7). 1857–1865. 57 indexed citations

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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