Florence Biétrix

842 citations
16 papers · 524 · h-index 9

Impact in

Papers in

    • Bioinformatics and Genomic Networks 3
    • Glycosylation and Glycoproteins Research 2
    • Sphingolipid Metabolism and Signaling 2
    • Cholesterol and Lipid Metabolism 3

Florence Biétrix

16 papers receiving 514 citations

Peers

Florence Biétrix
Comparison fields: 5 of 86
  • Biochemistry 123
  • Nutrition and Dietetics 74
  • Biochemistry 31
  • Molecular Biology 275
  • Surgery 135
Replace Michel Nauze with:
Michel Nauze France
Mark T. Yates United States
Zeyad El-Akawi Jordan
Andrew M. Hruszkewycz United States
Rodolphe Filomenko France
Thomas C. Dembinski Canada
Florent Lalanne France
K. Proudfoot United Kingdom
Dler Faieeq Darweesh Mahmood France
Edward R. Abril United States
Florence Biétrix relative to Michel Nauze France Michel Nauze's profile →
Citations per field
00.5×3.3×
Michel Nauze · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Florence Biétrix, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Florence Biétrix Line = papers co-authored together Florence Biétrix links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2005195
2 2006104
3 201055
4 201152
5 201743
6 201814
7 201213
8 202212
9 201612
10 20218
11 20226
12 20203
13 20203
14 20222
15 20221
16 20091

About Florence Biétrix

Florence Biétrix is a scholar working on Molecular Biology, Surgery, Computational Theory and Mathematics, Infectious Diseases and Information Systems, having authored 16 papers that have together received 524 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (3 papers), Cholesterol and Lipid Metabolism (3 papers), Bioinformatics and Genomic Networks (3 papers), Cell Image Analysis Techniques (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Scientific Computing and Data Management (2 papers), Glycosylation and Glycoproteins Research (2 papers) and Sphingolipid Metabolism and Signaling (2 papers). The work is most often cited by research in Biochemistry (123 citations), Nutrition and Dietetics (74 citations), Biochemistry (31 citations), Molecular Biology (275 citations) and Surgery (135 citations). Florence Biétrix has collaborated with scholars based in Netherlands, Italy and France. Frequent co-authors include Xavier Collet, Béatrice Gleize, Patrick Borel, Emmanuelle Reboul, Alain Margotat, Alexis Klein, Christiane Malezet‐Desmoulins, Martina Schneider, Laurent Lagrost and Albert K. Groen. Their work appears in journals such as Journal of Biological Chemistry, Nature Reviews Drug Discovery, Clinical Infectious Diseases, Scientific Reports and Journal of Personalized Medicine.

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