Audrey Bednarczyk

412 total citations
8 papers, 323 citations indexed

About

Audrey Bednarczyk is a scholar working on Molecular Biology, Cell Biology and Urology. According to data from OpenAlex, Audrey Bednarczyk has authored 8 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Cell Biology and 2 papers in Urology. Recurrent topics in Audrey Bednarczyk's work include Glycosylation and Glycoproteins Research (2 papers), Skin and Cellular Biology Research (2 papers) and Hair Growth and Disorders (2 papers). Audrey Bednarczyk is often cited by papers focused on Glycosylation and Glycoproteins Research (2 papers), Skin and Cellular Biology Research (2 papers) and Hair Growth and Disorders (2 papers). Audrey Bednarczyk collaborates with scholars based in France, Switzerland and United States. Audrey Bednarczyk's co-authors include Christine Schaeffer‐Reiss, Alain Van Dorsselaer, Marie‐Claire Bussat, Olivier Colas, Elsa Wagner‐Rousset, Nathalie Corvaı̈a, Alain Beck, Nükhet Cavusoglu, Stanislas Tomavo and Christian Slomianny and has published in prestigious journals such as Nature Communications, Analytical Biochemistry and Antimicrobial Agents and Chemotherapy.

In The Last Decade

Audrey Bednarczyk

8 papers receiving 311 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Audrey Bednarczyk France	7	167	59	49	45	40	8	323
Sabine Schröter Germany	7	163 1.0×	25 0.4×	6 0.1×	19 0.4×	18 0.5×	8	396
Joana Gaifem Portugal	13	235 1.4×	28 0.5×	10 0.2×	24 0.5×	95 2.4×	18	468
Kazue Nishioka Japan	11	99 0.6×	11 0.2×	18 0.4×	36 0.8×	17 0.4×	44	346
Rachael Barry United Kingdom	8	373 2.2×	9 0.2×	8 0.2×	61 1.4×	31 0.8×	12	543
Traci Hilton United States	11	244 1.5×	12 0.2×	13 0.3×	11 0.2×	69 1.7×	24	429
Sinfu Tzeng United States	10	181 1.1×	21 0.4×	52 1.1×	11 0.2×	44 1.1×	15	302
Marja Rytkönen‐Nissinen Finland	19	78 0.5×	43 0.7×	4 0.1×	14 0.3×	6 0.1×	48	887
Deling Shi China	9	132 0.8×	6 0.1×	7 0.1×	108 2.4×	62 1.6×	19	333
Kabat Ea	7	198 1.2×	75 1.3×	10 0.2×	19 0.4×	24 0.6×	15	324
Andréa Novais Moreno Brazil	10	124 0.7×	11 0.2×	11 0.2×	24 0.5×	26 0.7×	15	344

Countries citing papers authored by Audrey Bednarczyk

Since Specialization

Citations

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

Fields of papers citing papers by Audrey Bednarczyk

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Audrey Bednarczyk

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

All Works

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8 of 8 papers shown

Wagner‐Rousset, Elsa, Christine Schaeffer‐Reiss, Audrey Bednarczyk, et al.. (2013). NanoLC Chips MS/MS for the Characterization of N-Glycopeptides Generated from Trypsin Digestion of a Monoclonal Antibody. Methods in molecular biology. 988. 81–91. 4 indexed citations

Woldt, Estelle, Jérôme Terrand, Rachel L. Matz, et al.. (2012). The nuclear hormone receptor PPARγ counteracts vascular calcification by inhibiting Wnt5a signalling in vascular smooth muscle cells. Nature Communications. 3(1). 1077–1077. 77 indexed citations

Barthélemy, Nicolas R., et al.. (2011). Proteomic tools for the investigation of human hair structural proteins and evidence of weakness sites on hair keratin coil segments. Analytical Biochemistry. 421(1). 43–55. 35 indexed citations

Castro, Antonio, Audrey Bednarczyk, Christine Schaeffer‐Reiss, et al.. (2010). Screening of Ole e 1 polymorphism among olive cultivars by peptide mapping and N‐glycopeptide analysis. PROTEOMICS. 10(5). 953–962. 14 indexed citations

Fauquenoy, Sylvain, Willy Morelle, Agnès Hovasse, et al.. (2008). Proteomics and Glycomics Analyses of N-Glycosylated Structures Involved in Toxoplasma gondii-Host Cell Interactions. Molecular & Cellular Proteomics. 7(5). 891–910. 66 indexed citations

Thibaut, S., Nükhet Cavusoglu, F. Zerbib, et al.. (2008). Transglutaminase-3 Enzyme: A Putative Actor in Human Hair Shaft Scaffolding?. Journal of Investigative Dermatology. 129(2). 449–459. 26 indexed citations

Wagner‐Rousset, Elsa, Audrey Bednarczyk, Marie‐Claire Bussat, et al.. (2008). The way forward, enhanced characterization of therapeutic antibody glycosylation: Comparison of three level mass spectrometry-based strategies. Journal of Chromatography B. 872(1-2). 23–37. 68 indexed citations

Izquierdo, Esther, Audrey Bednarczyk, Christine Schaeffer‐Reiss, et al.. (2008). Production of Enterocins L50A, L50B, and IT, a New Enterocin, by Enterococcus faecium IT62, a Strain Isolated from Italian Ryegrass in Japan. Antimicrobial Agents and Chemotherapy. 52(6). 1917–1923. 33 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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