Maude Fer

599 total citations
8 papers, 470 citations indexed

About

Maude Fer is a scholar working on Molecular Biology, Biochemistry and Pharmacology. According to data from OpenAlex, Maude Fer has authored 8 papers receiving a total of 470 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Biochemistry and 3 papers in Pharmacology. Recurrent topics in Maude Fer's work include Eicosanoids and Hypertension Pharmacology (4 papers), Metabolomics and Mass Spectrometry Studies (3 papers) and Pharmacogenetics and Drug Metabolism (3 papers). Maude Fer is often cited by papers focused on Eicosanoids and Hypertension Pharmacology (4 papers), Metabolomics and Mass Spectrometry Studies (3 papers) and Pharmacogenetics and Drug Metabolism (3 papers). Maude Fer collaborates with scholars based in France, Morocco and Germany. Maude Fer's co-authors include Yvonne Dréano, F. Berthou, Danièle Lucas, Laurent Corcos, Yolande Amet, Jean‐Pierre Salaün, Xavier Vitrac, Jean‐Michel Mérillon, Emmanuelle Plée‐Gautier and Sophie Goulitquer and has published in prestigious journals such as Journal of Lipid Research, Journal of Chromatography A and Archives of Biochemistry and Biophysics.

In The Last Decade

Maude Fer

8 papers receiving 464 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maude Fer France 8 211 143 116 102 75 8 470
Marta Chataigneau France 7 74 0.4× 158 1.1× 45 0.4× 73 0.7× 79 1.1× 9 758
Ghada Abdelhamid Canada 15 226 1.1× 149 1.0× 108 0.9× 39 0.4× 69 0.9× 28 530
Osama H. Elshenawy Canada 15 220 1.0× 135 0.9× 97 0.8× 40 0.4× 61 0.8× 20 444
J Świȩs Poland 12 70 0.3× 208 1.5× 54 0.5× 38 0.4× 70 0.9× 27 771
Eugenia Piragine Italy 20 311 1.5× 308 2.2× 27 0.2× 45 0.4× 48 0.6× 43 864
Ren‐Bo Ding Macao 9 39 0.2× 281 2.0× 120 1.0× 33 0.3× 134 1.8× 19 664
Jong Cheol Shon South Korea 17 60 0.3× 267 1.9× 86 0.7× 38 0.4× 47 0.6× 35 571
Ahmed A. El-Sherbeni Canada 17 394 1.9× 165 1.2× 223 1.9× 38 0.4× 84 1.1× 34 689
Jinyong Peng China 17 32 0.2× 381 2.7× 167 1.4× 30 0.3× 73 1.0× 27 788
Tristan E. Rose United States 9 306 1.5× 173 1.2× 62 0.5× 33 0.3× 102 1.4× 11 520

Countries citing papers authored by Maude Fer

Since Specialization
Citations

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

Fields of papers citing papers by Maude Fer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maude Fer

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

All Works

8 of 8 papers shown
1.
Przybylski, Cédric, Gaëlle Correc, Maude Fer, et al.. (2015). MALDI-TOF MS and ESI-LTQ-Orbitrap tandem mass spectrometry reveal specific porphyranase activity from a Pseudoalteromonas atlantica bacterial extract. RSC Advances. 5(98). 80793–80803. 11 indexed citations
2.
Fer, Maude, Jean‐François Sassi, Marc Lahaye, et al.. (2012). Medium-throughput profiling method for screening polysaccharide-degrading enzymes in complex bacterial extracts. Journal of Microbiological Methods. 89(3). 222–229. 9 indexed citations
3.
Ropartz, David, Cédric Przybylski, Florence Gonnet, et al.. (2011). Performance evaluation on a wide set of matrix‐assisted laser desorption ionization matrices for the detection of oligosaccharides in a high‐throughput mass spectrometric screening of carbohydrate depolymerizing enzymes. Rapid Communications in Mass Spectrometry. 25(14). 2059–2070. 49 indexed citations
4.
Lucas, Danièle, Sophie Goulitquer, Jan Marienhagen, et al.. (2009). Stereoselective epoxidation of the last double bond of polyunsaturated fatty acids by human cytochromes P450. Journal of Lipid Research. 51(5). 1125–1133. 63 indexed citations
5.
Fer, Maude, Yvonne Dréano, Danièle Lucas, et al.. (2008). Metabolism of eicosapentaenoic and docosahexaenoic acids by recombinant human cytochromes P450. Archives of Biochemistry and Biophysics. 471(2). 116–125. 124 indexed citations
6.
Fer, Maude, Laurent Corcos, Yvonne Dréano, et al.. (2008). Cytochromes P450 from family 4 are the main omega hydroxylating enzymes in humans: CYP4F3B is the prominent player in PUFA metabolism. Journal of Lipid Research. 49(11). 2379–2389. 81 indexed citations
7.
Fer, Maude, Sophie Goulitquer, Yvonne Dréano, et al.. (2006). Determination of polyunsatured fatty acid monoepoxides by high performance liquid chromatography–mass spectrometry. Journal of Chromatography A. 1115(1-2). 1–7. 18 indexed citations
8.
Fer, Maude, Xavier Vitrac, Jean‐Michel Mérillon, et al.. (2004). Involvement of cytochrome P450 1A2 in the biotransformation of trans-resveratrol in human liver microsomes. Biochemical Pharmacology. 68(4). 773–782. 115 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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