Jennifer Vinera

24 total papers · 2.3k total citations
9 papers, 1.8k citations indexed

About

Jennifer Vinera is a scholar working on Surgery, Physiology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Jennifer Vinera has authored 9 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Surgery, 4 papers in Physiology and 3 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Jennifer Vinera's work include Diet and metabolism studies (4 papers), T-cell and Retrovirus Studies (3 papers) and Bariatric Surgery and Outcomes (2 papers). Jennifer Vinera is often cited by papers focused on Diet and metabolism studies (4 papers), T-cell and Retrovirus Studies (3 papers) and Bariatric Surgery and Outcomes (2 papers). Jennifer Vinera collaborates with scholars based in France, Lebanon and Sweden. Jennifer Vinera's co-authors include Carine Zitoun, Gilles Mithieux, Adeline Duchampt, Daisy Goncalves, Filipe De Vadder, Petia Kovatcheva‐Datchary, Fredrik Bäckhed, Armelle Penhoat, Maud Soty and Chloé Journo and has published in prestigious journals such as Cell, Journal of Virology and Annals of Surgery.

In The Last Decade

Jennifer Vinera

8 papers receiving 1.7k citations

Hit Papers

Microbiota-Generated Meta... 2014 2026 2018 2022 2014 500 1000 1.5k

Author Peers

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

Author Last Decade Papers Cites
Jennifer Vinera 1.2k 888 269 210 179 9 1.8k
Daisy Goncalves 1.3k 1.0× 910 1.0× 281 1.0× 215 1.0× 182 1.0× 5 1.8k
Kanako Hirano 1.3k 1.0× 856 1.0× 251 0.9× 231 1.1× 171 1.0× 11 1.9k
Christina M. van der Beek 1.0k 0.8× 823 0.9× 224 0.8× 194 0.9× 157 0.9× 10 1.5k
Rozita Akrami 1.4k 1.1× 681 0.8× 287 1.1× 115 0.5× 262 1.5× 7 1.8k
Jean-Paul Thissen 1.3k 1.1× 760 0.9× 212 0.8× 409 1.9× 243 1.4× 8 2.0k
Tsung-Ru Wu 1.5k 1.2× 639 0.7× 222 0.8× 141 0.7× 323 1.8× 8 2.1k
Meliz Sahuri-Arisoylu 1.1k 0.9× 852 1.0× 263 1.0× 139 0.7× 182 1.0× 10 1.7k
Manoj Gurung 1.1k 0.9× 626 0.7× 166 0.6× 199 0.9× 170 0.9× 20 1.6k
Camille Martin‐Gallausiaux 1.5k 1.2× 665 0.7× 256 1.0× 123 0.6× 267 1.5× 17 2.1k
Tatiana M. Marques 1.3k 1.0× 756 0.9× 289 1.1× 105 0.5× 256 1.4× 19 1.7k

Countries citing papers authored by Jennifer Vinera

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer Vinera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer Vinera

This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer Vinera. A scholar is included among the top collaborators of Jennifer Vinera 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 Jennifer Vinera. Jennifer Vinera 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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