Patsy Renard

651 total citations
10 papers, 574 citations indexed

About

Patsy Renard is a scholar working on Molecular Biology, Immunology and Allergy and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Patsy Renard has authored 10 papers receiving a total of 574 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Immunology and Allergy and 2 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Patsy Renard's work include Food Allergy and Anaphylaxis Research (4 papers), Identification and Quantification in Food (3 papers) and Allergic Rhinitis and Sensitization (2 papers). Patsy Renard is often cited by papers focused on Food Allergy and Anaphylaxis Research (4 papers), Identification and Quantification in Food (3 papers) and Allergic Rhinitis and Sensitization (2 papers). Patsy Renard collaborates with scholars based in Belgium and Tunisia. Patsy Renard's co-authors include Martine Raes, Marc Dieu, Thierry Arnould, Nathalie Gillard, A. Tacheny, Philippe Delahaut, Kris Gevaert, Marc De Loose, Christof Van Poucke and Katleen Coudijzer and has published in prestigious journals such as Nucleic Acids Research, Food Chemistry and Journal of Chromatography A.

In The Last Decade

Patsy Renard

10 papers receiving 563 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Patsy Renard Belgium 8 315 152 136 73 64 10 574
Chahrazade Kantari France 7 416 1.3× 285 1.9× 94 0.7× 76 1.0× 74 1.2× 9 804
Kazunori Mori Japan 15 359 1.1× 88 0.6× 136 1.0× 75 1.0× 134 2.1× 37 731
Kiran Assi Canada 11 262 0.8× 159 1.0× 88 0.6× 81 1.1× 95 1.5× 20 556
Johng S. Rhim United States 10 290 0.9× 108 0.7× 96 0.7× 47 0.6× 119 1.9× 12 597
Huifang Hu China 13 323 1.0× 125 0.8× 91 0.7× 36 0.5× 72 1.1× 30 606
Mladen Paradžik Croatia 9 174 0.6× 123 0.8× 55 0.4× 52 0.7× 66 1.0× 16 424
Bo-Ra Na South Korea 12 171 0.5× 127 0.8× 52 0.4× 91 1.2× 36 0.6× 17 397
Lizhong Liu China 9 542 1.7× 80 0.5× 267 2.0× 95 1.3× 142 2.2× 15 850
Keita Okuda Japan 7 167 0.5× 258 1.7× 135 1.0× 37 0.5× 149 2.3× 11 587
Jingjing Wei China 10 172 0.5× 185 1.2× 59 0.4× 20 0.3× 98 1.5× 37 466

Countries citing papers authored by Patsy Renard

Since Specialization
Citations

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

Fields of papers citing papers by Patsy Renard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patsy Renard

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

All Works

10 of 10 papers shown
1.
Poucke, Christof Van, Marc De Loose, Kris Gevaert, et al.. (2020). Comparative study of concatemer efficiency as an isotope-labelled internal standard for allergen quantification. Food Chemistry. 332. 127413–127413. 18 indexed citations
2.
Dieu, Marc, Patsy Renard, Thierry Arnould, et al.. (2019). Selection of universal peptide biomarkers for the detection of the allergen hazelnut in food trough a comprehensive, high resolution mass spectrometric (HRMS) based approach. Food Chemistry. 309. 125679–125679. 25 indexed citations
3.
Poucke, Christof Van, Marc De Loose, Kris Gevaert, et al.. (2019). High-resolution mass spectrometry-based selection of peanut peptide biomarkers considering food processing and market type variation. Food Chemistry. 304. 125428–125428. 19 indexed citations
4.
Raes, Martine, Nathalie Gillard, Marc Dieu, et al.. (2018). Mass Spectrometry based Approaches for Analysing Proteins in Processed Food and Feed. Open Repository and Bibliography (University of Liège). 2 indexed citations
5.
Arnould, Thierry, et al.. (2017). Liquid chromatography coupled to tandem mass spectrometry for detecting ten allergens in complex and incurred foodstuffs. Journal of Chromatography A. 1530. 138–151. 36 indexed citations
6.
Mkannez, Ghada, et al.. (2014). MicroRNA expression profile in human macrophage in response to leishmania major infection. International Journal of Infectious Diseases. 21. 168–168. 1 indexed citations
7.
Tacheny, A., Marc Dieu, Thierry Arnould, & Patsy Renard. (2013). Mass spectrometry-based identification of proteins interacting with nucleic acids. Journal of Proteomics. 94. 89–109. 28 indexed citations
8.
Tacheny, A., et al.. (2012). Unbiased proteomic analysis of proteins interacting with the HIV-1 5′LTR sequence: role of the transcription factor Meis. Nucleic Acids Research. 40(21). e168–e168. 19 indexed citations
9.
Renard, Patsy. (2001). Development of a sensitive multi-well colorimetric assay for active NFkappaB. Nucleic Acids Research. 29(4). 21e–21. 341 indexed citations
10.
Renard, Patsy & Martine Raes. (1999). The proinflammatory transcription factor NFκB: a potential target for novel therapeutical strategies. Cell Biology and Toxicology. 15(6). 341–344. 85 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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