Florence Biétrix

842 total citations
16 papers, 524 citations indexed

About

Florence Biétrix is a scholar working on Molecular Biology, Surgery and Computational Theory and Mathematics. According to data from OpenAlex, Florence Biétrix has authored 16 papers receiving a total of 524 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Surgery and 3 papers in Computational Theory and Mathematics. Recurrent topics in Florence Biétrix's work include Computational Drug Discovery Methods (3 papers), Bioinformatics and Genomic Networks (3 papers) and Cholesterol and Lipid Metabolism (3 papers). Florence Biétrix is often cited by papers focused on Computational Drug Discovery Methods (3 papers), Bioinformatics and Genomic Networks (3 papers) and Cholesterol and Lipid Metabolism (3 papers). Florence Biétrix collaborates with scholars based in Netherlands, Italy and France. Florence Biétrix's co-authors include Xavier Collet, Martina Schneider, Laurent Lagrost, Emmanuelle Reboul, Béatrice Gleize, Alexis Klein, Christiane Malezet‐Desmoulins, Alain Margotat, Patrick Borel and Albert K. Groen and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Nature Reviews Drug Discovery.

In The Last Decade

Florence Biétrix

16 papers receiving 514 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Florence Biétrix Netherlands 9 275 135 123 83 75 16 524
Mark T. Yates United States 13 204 0.7× 170 1.3× 163 1.3× 86 1.0× 116 1.5× 19 731
Andrew M. Hruszkewycz United States 15 439 1.6× 63 0.5× 54 0.4× 85 1.0× 119 1.6× 21 842
Michel Nauze France 13 247 0.9× 167 1.2× 37 0.3× 80 1.0× 50 0.7× 18 482
Thomas C. Dembinski Canada 12 326 1.2× 84 0.6× 36 0.3× 146 1.8× 33 0.4× 27 695
Rodolphe Filomenko France 16 493 1.8× 117 0.9× 33 0.3× 114 1.4× 45 0.6× 18 809
Karishma Gupta United States 9 355 1.3× 36 0.3× 83 0.7× 91 1.1× 27 0.4× 30 704
Svanhild A. Schønberg Norway 14 243 0.9× 75 0.6× 28 0.2× 51 0.6× 63 0.8× 22 641
Florent Lalanne France 12 287 1.0× 545 4.0× 57 0.5× 76 0.9× 55 0.7× 15 812
Maleppillil Vavachan Vijayakumar India 11 246 0.9× 72 0.5× 25 0.2× 134 1.6× 54 0.7× 14 590
Tracey A-M. Neville Canada 13 247 0.9× 298 2.2× 34 0.3× 46 0.6× 38 0.5× 16 592

Countries citing papers authored by Florence Biétrix

Since Specialization
Citations

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

Fields of papers citing papers by Florence Biétrix

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Florence Biétrix

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

All Works

16 of 16 papers shown
1.
David, Romain, Christian Ohmann, Jan‐Willem Boiten, et al.. (2022). An iterative and interdisciplinary categorisation process towards FAIRer digital resources for sensitive life-sciences data. Scientific Reports. 12(1). 20989–20989. 1 indexed citations
2.
Oldoni, Emanuela, Gary Saunders, Florence Biétrix, et al.. (2022). Tackling the translational challenges of multi-omics research in the realm of European personalised medicine: A workshop report. Frontiers in Molecular Biosciences. 9. 974799–974799. 12 indexed citations
3.
Ohmann, Christian, Romain David, Florence Biétrix, et al.. (2022). Pilot Study on the Intercalibration of a Categorisation System for FAIRer Digital Objects Related to Sensitive Data in the Life Sciences. Data Intelligence. 4(2). 196–211. 2 indexed citations
4.
Oldoni, Emanuela, Chiara Gerardi, Rita Banzi, et al.. (2022). Evaluating Translational Methods for Personalized Medicine—A Scoping Review. Journal of Personalized Medicine. 12(7). 1177–1177. 6 indexed citations
5.
Tanoli, Ziaurrehman, Jehad Aldahdooh, Yinyin Wang, et al.. (2021). Minimal information for chemosensitivity assays (MICHA): a next-generation pipeline to enable the FAIRification of drug screening experiments. Briefings in Bioinformatics. 23(1). 8 indexed citations
6.
Oldoni, Emanuela, Alain J. van Gool, Laura García‐Bermejo, et al.. (2020). Biomarker Research and Development for Coronavirus Disease 2019 (COVID-19): European Medical Research Infrastructures Call for Global Coordination. Clinical Infectious Diseases. 72(10). 1838–1842. 3 indexed citations
7.
Banzi, Rita, Chiara Gerardi, Maddalena Fratelli, et al.. (2020). Methodological approaches for personalised medicine: protocol for a series of scoping reviews. Zenodo (CERN European Organization for Nuclear Research). 3 indexed citations
8.
Medaglini, Donata, et al.. (2018). Innovation Partnership for a Roadmap on Vaccines in Europe (IPROVE): A vision for the vaccines of tomorrow. Vaccine. 36(9). 1136–1145. 14 indexed citations
9.
Gool, Alain J. van, Florence Biétrix, Eric Caldenhoven, et al.. (2017). Bridging the translational innovation gap through good biomarker practice. Nature Reviews Drug Discovery. 16(9). 587–588. 43 indexed citations
10.
Kočiš, Petr, Marián Hajdúch, Florence Biétrix, et al.. (2016). Putting translational science on to a global stage. Nature Reviews Drug Discovery. 15(4). 217–218. 12 indexed citations
11.
Roomen, Cindy P. A. A. van, Roelof Ottenhoff, Marco van Eijk, et al.. (2012). Correction of Liver Steatosis by a Hydrophobic Iminosugar Modulating Glycosphingolipids Metabolism. PLoS ONE. 7(10). e38520–e38520. 13 indexed citations
12.
Aerts, Johannes M. F. G., Rolf G. Boot, Marco van Eijk, et al.. (2011). Glycosphingolipids and Insulin Resistance. Advances in experimental medicine and biology. 721. 99–119. 52 indexed citations
13.
Biétrix, Florence, Cindy P. A. A. van Roomen, Roelof Ottenhoff, et al.. (2010). Inhibition of Glycosphingolipid Synthesis Induces a Profound Reduction of Plasma Cholesterol and Inhibits Atherosclerosis Development in APOE*3 Leiden and Low-Density Lipoprotein Receptor−/− Mice. Arteriosclerosis Thrombosis and Vascular Biology. 30(5). 931–937. 55 indexed citations
14.
Biétrix, Florence, et al.. (2009). Abstract: P158 INHIBITION OF GLYCOSPHINGOLIPID SYNTHESIS STRONGLY REDUCES ATHEROSCLEROSIS DEVELOPMENT IN APOE*3 LEIDEN MICE. Atherosclerosis Supplements. 10(2). e475–e475. 1 indexed citations
15.
Biétrix, Florence, Daoguang Yan, Michel Nauze, et al.. (2006). Accelerated Lipid Absorption in Mice Overexpressing Intestinal SR-BI. Journal of Biological Chemistry. 281(11). 7214–7219. 104 indexed citations
16.
Reboul, Emmanuelle, Alexis Klein, Florence Biétrix, et al.. (2005). Scavenger Receptor Class B Type I (SR-BI) Is Involved in Vitamin E Transport across the Enterocyte. Journal of Biological Chemistry. 281(8). 4739–4745. 195 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Mark T. Yates Breakdown of academic impact, for papers by Andrew M. Hruszkewycz Breakdown of academic impact, for papers by Michel Nauze Breakdown of academic impact, for papers by Thomas C. Dembinski Breakdown of academic impact, for papers by Rodolphe Filomenko Breakdown of academic impact, for papers by Karishma Gupta Breakdown of academic impact, for papers by Svanhild A. Schønberg Breakdown of academic impact, for papers by Florent Lalanne Breakdown of academic impact, for papers by Maleppillil Vavachan Vijayakumar Breakdown of academic impact, for papers by Tracey A-M. Neville
Rankless by CCL
2026