Régis Bouvet

786 total citations
10 papers, 593 citations indexed

About

Régis Bouvet is a scholar working on Molecular Biology, Hematology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Régis Bouvet has authored 10 papers receiving a total of 593 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Hematology and 2 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Régis Bouvet's work include Iron Metabolism and Disorders (3 papers), Drug Transport and Resistance Mechanisms (2 papers) and Renal and related cancers (2 papers). Régis Bouvet is often cited by papers focused on Iron Metabolism and Disorders (3 papers), Drug Transport and Resistance Mechanisms (2 papers) and Renal and related cancers (2 papers). Régis Bouvet collaborates with scholars based in France, Italy and Morocco. Régis Bouvet's co-authors include Jean Mosser, Annabelle Monnier, Marie‐Paule Roth, Hélène Coppin, Léon Kautz, Ruihong Wang, Sophie Vaulont, Delphine Meynard, Florence Corellou and Béline Jesson and has published in prestigious journals such as Blood, PLoS ONE and PLANT PHYSIOLOGY.

In The Last Decade

Régis Bouvet

10 papers receiving 587 citations

Peers

Régis Bouvet

HEMAT

GENET

ND

MB

PS

Steven M. Starnes United States

Eric S. Hanson United States

Barbara Neupert Switzerland

Haifeng Shi China

David M. Penny United States

Julie Hall United States

Nimesh Bhaskaran Sweden

Malini Rajan United States

Jim Drysdale United States

Daniel Biggs United Kingdom

Steven M. Starnes United States

Régis Bouvet

407 ×1.2

HEMAT

353 ×1.3

GENET

344 ×1.7

ND

117 ×0.7

MB

36 ×0.4

PS

Citations per year, relative to Régis Bouvet Régis Bouvet (= 1×) peers Steven M. Starnes

Countries citing papers authored by Régis Bouvet

Since Specialization

Citations

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

Fields of papers citing papers by Régis Bouvet

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Régis Bouvet

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

All Works

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10 of 10 papers shown

1.

Robin, Fabien, Jonathan Chemouny, Camille Tron, et al.. (2022). Drug transporters are implicated in the diffusion of tacrolimus into the T lymphocyte in kidney and liver transplant recipients: Genetic, mRNA, protein expression, and functionality. Drug Metabolism and Pharmacokinetics. 47. 100473–100473. 2 indexed citations

2.

Tron, Camille, Régis Bouvet, Marie‐Clémence Verdier, et al.. (2022). A Robust and Fast/Multiplex Pharmacogenetics Assay to Simultaneously Analyze 17 Clinically Relevant Genetic Polymorphisms in CYP3A4, CYP3A5, CYP1A2, CYP2C9, CYP2C19, CYP2D6, ABCB1, and VKORC1 Genes. Pharmaceuticals. 15(5). 637–637. 1 indexed citations

3.

Bouvet, Régis, et al.. (2020). PharmFrag: An Easy and Fast Multiplex Pharmacogenetics Assay to Simultaneously Analyze 9 Genetic Polymorphisms Involved in Response Variability of Anticancer Drugs. International Journal of Molecular Sciences. 21(24). 9650–9650. 1 indexed citations

4.

Monnier, Annabelle, Régis Bouvet, Amandine Etcheverry, et al.. (2018). The expression of EMX2 lead to cell cycle arrest in glioblastoma cell line. BMC Cancer. 18(1). 1213–1213. 10 indexed citations

5.

Tayrac, Marie de, Marie‐Paule Roth, Anne‐Marie Jouanolle, et al.. (2014). Genome-wide association study identifies TF as a significant modifier gene of iron metabolism in HFE hemochromatosis. Journal of Hepatology. 62(3). 664–672. 39 indexed citations

6.

Vaulont, Sophie, Jean Mosser, Hélène Coppin, et al.. (2013). Smad7, Id1, and Atoh8 in the mouse liver Iron regulates phosphorylation of Smad1/5/8 and gene expression of Bmp6,. 1 indexed citations

7.

Monnier, Annabelle, Silvia Liverani, Régis Bouvet, et al.. (2010). Orchestrated transcription of biological processes in the marine picoeukaryote Ostreococcus exposed to light/dark cycles. BMC Genomics. 11(1). 192–192. 97 indexed citations

8.

Mouchet, Nicolas, H. Adamski, Régis Bouvet, et al.. (2010). In Vivo Identification of Solar Radiation-Responsive Gene Network: Role of the p38 Stress-Dependent Kinase. PLoS ONE. 5(5). e10776–e10776. 13 indexed citations

9.

Kautz, Léon, Delphine Meynard, Annabelle Monnier, et al.. (2008). Iron regulates phosphorylation of Smad1/5/8 and gene expression of Bmp6, Smad7, Id1, and Atoh8 in the mouse liver. Blood. 112(4). 1503–1509. 356 indexed citations

10.

Monnier, Annabelle, Béline Jesson, Régis Bouvet, et al.. (2007). Light-Dependent Regulation of Cell Division inOstreococcus: Evidence for a Major Transcriptional Input. PLANT PHYSIOLOGY. 144(3). 1360–1369. 73 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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