Gurvan Quéniat

20 total papers · 1.3k total citations
9 papers, 798 citations indexed

About

Gurvan Quéniat is a scholar working on Surgery, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Gurvan Quéniat has authored 9 papers receiving a total of 798 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Surgery, 3 papers in Molecular Biology and 3 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Gurvan Quéniat's work include Pancreatic function and diabetes (4 papers), Metabolism, Diabetes, and Cancer (2 papers) and Diabetes Treatment and Management (2 papers). Gurvan Quéniat is often cited by papers focused on Pancreatic function and diabetes (4 papers), Metabolism, Diabetes, and Cancer (2 papers) and Diabetes Treatment and Management (2 papers). Gurvan Quéniat collaborates with scholars based in France, Algeria and Belgium. Gurvan Quéniat's co-authors include Amar Abderrahmani, François Pattou, Julie Kerr‐Conte, Valéry Gmyr, Caroline Bonner, Ericka Moerman, Julien Thévenet, Bart Staels, Iuliana Popescu and Willy Malaisse and has published in prestigious journals such as Nature Medicine, Journal of Controlled Release and Sensors and Actuators B Chemical.

In The Last Decade

Gurvan Quéniat

9 papers receiving 775 citations

Hit Papers

Inhibition of the glucose... 2015 2026 2018 2022 2015 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Gurvan Quéniat 502 411 272 114 101 9 798
Leda Racanicchi 174 0.3× 408 1.0× 306 1.1× 162 1.4× 112 1.1× 21 793
Peter J. Feilen 211 0.4× 539 1.3× 162 0.6× 175 1.5× 219 2.2× 23 821
A.R. Sørensen 325 0.6× 282 0.7× 409 1.5× 116 1.0× 26 0.3× 10 747
Andreea Barbu 151 0.3× 317 0.8× 194 0.7× 157 1.4× 68 0.7× 22 769
Maysoon Al‐Haideri 302 0.6× 320 0.8× 276 1.0× 53 0.5× 53 0.5× 25 984
Maria Grupillo 288 0.6× 354 0.9× 176 0.6× 244 2.1× 84 0.8× 14 709
Sharon Pangburn 109 0.2× 207 0.5× 329 1.2× 37 0.3× 81 0.8× 8 853
Valérie F. Duvivier-Kali 505 1.0× 759 1.8× 239 0.9× 324 2.8× 68 0.7× 9 925
Emily E. Morin 152 0.3× 222 0.5× 389 1.4× 20 0.2× 284 2.8× 21 1.0k
Adam Armstrong 191 0.4× 260 0.6× 329 1.2× 89 0.8× 30 0.3× 9 752

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

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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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