Françoise Grégoire

111 total papers · 1.7k total citations
54 papers, 1.3k citations indexed

About

Françoise Grégoire is a scholar working on Molecular Biology, Epidemiology and Physiology. According to data from OpenAlex, Françoise Grégoire has authored 54 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 8 papers in Epidemiology and 8 papers in Physiology. Recurrent topics in Françoise Grégoire's work include Neuropeptides and Animal Physiology (6 papers), Ion Transport and Channel Regulation (5 papers) and Adipokines, Inflammation, and Metabolic Diseases (4 papers). Françoise Grégoire is often cited by papers focused on Neuropeptides and Animal Physiology (6 papers), Ion Transport and Channel Regulation (5 papers) and Adipokines, Inflammation, and Metabolic Diseases (4 papers). Françoise Grégoire collaborates with scholars based in Belgium, United States and France. Françoise Grégoire's co-authors include Christine Delporte, Patrick Robberecht, Jason Perret, H. Brauman, Valérie Wittamer, Gilbert Vassart, Marc Parmentier, David Communi, Carine De Vriese and Jacques Corvilain and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and The Journal of Experimental Medicine.

In The Last Decade

Françoise Grégoire

51 papers receiving 1.3k citations

Author Peers

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

Author Last Decade Papers Cites
Françoise Grégoire 432 226 212 204 203 54 1.3k
Jun Tanaka 425 1.0× 275 1.2× 138 0.7× 167 0.8× 254 1.3× 41 1.1k
Misako Okita 477 1.1× 249 1.1× 347 1.6× 234 1.1× 186 0.9× 70 1.3k
Yutaka Uehara 361 0.8× 293 1.3× 138 0.7× 182 0.9× 360 1.8× 60 1.2k
Éric Paradis 496 1.1× 553 2.4× 118 0.6× 136 0.7× 218 1.1× 28 1.4k
Thierry Lesté-Lasserre 382 0.9× 366 1.6× 201 0.9× 83 0.4× 214 1.1× 49 1.5k
Marco Stebel 307 0.7× 402 1.8× 249 1.2× 183 0.9× 329 1.6× 45 1.3k
Takeshi Hasegawa 430 1.0× 210 0.9× 83 0.4× 203 1.0× 92 0.5× 102 1.8k
Helen L. Hellmich 687 1.6× 243 1.1× 242 1.1× 93 0.5× 241 1.2× 49 1.6k
S. Vincent Wu 453 1.0× 188 0.8× 116 0.5× 96 0.5× 145 0.7× 51 1.4k
K Bauer 300 0.7× 185 0.8× 77 0.4× 224 1.1× 137 0.7× 50 1.3k

Countries citing papers authored by Françoise Grégoire

Since Specialization
Citations

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

Fields of papers citing papers by Françoise Grégoire

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Françoise Grégoire

This figure shows the co-authorship network connecting the top 25 collaborators of Françoise Grégoire. A scholar is included among the top collaborators of Françoise Grégoire 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 Françoise Grégoire. Françoise Grégoire 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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2026