Gurvan Quéniat

1.3k citations
9 papers · 799 indexed · 1 hit paper · h-index 8
Topics
Pancreatic function and diabetes (4 papers)Metabolism, Diabetes, and Cancer (2 papers)Graphene and Nanomaterials Applications (2 papers)
Partner nations
FranceAlgeriaBelgium

In The Last Decade

Gurvan Quéniat

9 papers receiving 776 citations

Hit Papers

Inhibition of the glucose transporter SGLT2 with dapaglif...20152026201820222015100200300400500

Peers

Gurvan Quéniat
Comparison fields: 5 of 87
  • Endocrinology, Diabetes and Metabolism 504
  • Surgery 412
  • Molecular Biology 272
  • Genetics 115
  • Biomedical Engineering 101
Replace Nathalie Henley with:
Nathalie Henley Canada
Yoshiji Ogawa Japan
R Heintz United States
Steven R. Hager United States
Kozue Ochi Japan
William J. Stanley Australia
Bo Ge China
T Wheatley United States
Cheng Zhao China
Emilia Sokołowska Poland
Gurvan Quéniat relative to Nathalie Henley Canada Nathalie Henley's profile →
Citations per field
00.5×10×12.7×
Nathalie Henley · 1×
Citations per year

Countries citing papers authored by Gurvan Quéniat

Since Specialization
Citations

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

Fields of papers citing papers by Gurvan Quéniat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gurvan Quéniat

This figure shows the co-authorship network connecting the top 25 collaborators of Gurvan Quéniat. A scholar is included among the top collaborators of Gurvan Quéniat 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 Gurvan Quéniat. Gurvan Quéniat 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
#WorkIndexed citations
1 74
2 65
3 23
4
Inhibition of the glucose transporter SGLT2 with dapagliflozin in pancreatic alpha cells triggers glucagon secretionbreakdown →
538
5 11
6
Glucose transporter SGLT2 inhibition triggers glucagon secretion in alpha cells
5
7 19
8 31
9 33

About Gurvan Quéniat

Gurvan Quéniat is a scholar working on Endocrinology, Diabetes and Metabolism, Pharmaceutical Science and Reproductive Medicine, having authored 9 papers that have together received 799 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (4 papers), Metabolism, Diabetes, and Cancer (2 papers) and Graphene and Nanomaterials Applications (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (504 citations), Pharmaceutical Science (57 citations) and Surgery (412 citations). Gurvan Quéniat has collaborated with scholars based in France, Algeria and Belgium. Frequent co-authors include Amar Abderrahmani, Valéry Gmyr, François Pattou, Julie Kerr‐Conte, Caroline Bonner, Ericka Moerman, Julien Thévenet, Willy Malaisse, Abdullah Sener and Benoît Déprez. Their work appears in journals such as Nature Medicine, Journal of Controlled Release and Sensors and Actuators B Chemical.

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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