Aurélie Jonneaux

39 total papers · 2.3k total citations
16 papers, 1.2k citations indexed

About

Aurélie Jonneaux is a scholar working on Molecular Biology, Surgery and Neurology. According to data from OpenAlex, Aurélie Jonneaux has authored 16 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Surgery and 4 papers in Neurology. Recurrent topics in Aurélie Jonneaux's work include Nerve injury and regeneration (3 papers), Ferroptosis and cancer prognosis (3 papers) and Inflammatory mediators and NSAID effects (2 papers). Aurélie Jonneaux is often cited by papers focused on Nerve injury and regeneration (3 papers), Ferroptosis and cancer prognosis (3 papers) and Inflammatory mediators and NSAID effects (2 papers). Aurélie Jonneaux collaborates with scholars based in France, United Kingdom and Australia. Aurélie Jonneaux's co-authors include David Devos, Kelly Timmerman, Jean-Christophe Devedjian, Flore Gouel, Charlotte Laloux, Régis Bordet, Caroline Moreau, Maud Pétrault, Patrick Gelé and M. Bastide and has published in prestigious journals such as Angewandte Chemie International Edition, PLoS ONE and Biomaterials.

In The Last Decade

Aurélie Jonneaux

16 papers receiving 1.1k citations

Hit Papers

Ferroptosis, a newly char... 2016 2026 2019 2022 2016 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Aurélie Jonneaux 721 411 377 153 146 16 1.2k
Wen Bao 605 0.8× 555 1.4× 424 1.1× 110 0.7× 92 0.6× 18 1.1k
Sho Kobayashi 694 1.0× 563 1.4× 427 1.1× 122 0.8× 104 0.7× 40 1.3k
William S. Hambright 800 1.1× 658 1.6× 436 1.2× 107 0.7× 154 1.1× 23 1.4k
Chisato Kubota 510 0.7× 552 1.3× 386 1.0× 81 0.5× 70 0.5× 13 1.0k
Ross Weber 816 1.1× 480 1.2× 398 1.1× 75 0.5× 45 0.3× 8 1.2k
David H. Manz 619 0.9× 459 1.1× 366 1.0× 133 0.9× 203 1.4× 10 1.3k
Dongcheng Feng 789 1.1× 517 1.3× 619 1.6× 84 0.5× 62 0.4× 22 1.4k
Diane Moujalled 678 0.9× 149 0.4× 145 0.4× 98 0.6× 69 0.5× 22 1.1k
Huan Xiong 443 0.6× 392 1.0× 318 0.8× 39 0.3× 83 0.6× 15 1.1k
Maud Pétrault 452 0.6× 366 0.9× 225 0.6× 46 0.3× 101 0.7× 23 971

Countries citing papers authored by Aurélie Jonneaux

Since Specialization
Citations

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

Fields of papers citing papers by Aurélie Jonneaux

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aurélie Jonneaux

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

All Works

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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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