Pascaline Audant

651 total citations
8 papers, 532 citations indexed

About

Pascaline Audant is a scholar working on Molecular Biology, Insect Science and Pharmacology. According to data from OpenAlex, Pascaline Audant has authored 8 papers receiving a total of 532 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Insect Science and 2 papers in Pharmacology. Recurrent topics in Pascaline Audant's work include Insect Resistance and Genetics (6 papers), Insect and Pesticide Research (3 papers) and Insect-Plant Interactions and Control (3 papers). Pascaline Audant is often cited by papers focused on Insect Resistance and Genetics (6 papers), Insect and Pesticide Research (3 papers) and Insect-Plant Interactions and Control (3 papers). Pascaline Audant collaborates with scholars based in France, Japan and Morocco. Pascaline Audant's co-authors include René Feyereisen, Frédérique Hilliou, Gaëlle Le Goff, Éric Wajnberg, Maeva Giraudo, Vasakorn Bullangpoti, Thierry Fricaux, Blair D. Siegfried, Sam Boundy and Richard H. ffrench‐Constant and has published in prestigious journals such as BMC Bioinformatics, Pest Management Science and Insect Biochemistry and Molecular Biology.

In The Last Decade

Pascaline Audant

8 papers receiving 522 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pascaline Audant France 8 375 350 224 54 39 8 532
B. Surendra Nath India 7 136 0.4× 236 0.7× 207 0.9× 35 0.6× 42 1.1× 12 371
Ayako Hirao Germany 5 241 0.6× 344 1.0× 236 1.1× 14 0.3× 13 0.3× 8 435
Melanie Andrews United Kingdom 7 377 1.0× 534 1.5× 287 1.3× 22 0.4× 11 0.3× 8 611
Franklin Magliano da Cunha Brazil 13 111 0.3× 211 0.6× 227 1.0× 22 0.4× 11 0.3× 28 363
S. R. Sims United States 12 543 1.4× 436 1.2× 361 1.6× 14 0.3× 27 0.7× 23 751
Peter Demaeght Belgium 7 392 1.0× 530 1.5× 216 1.0× 14 0.3× 11 0.3× 9 633
Wilson R. Valbon Brazil 11 138 0.4× 237 0.7× 303 1.4× 27 0.5× 24 0.6× 21 479
W. R. Halliday United States 13 196 0.5× 241 0.7× 242 1.1× 23 0.4× 23 0.6× 22 375
Peian Tang China 12 253 0.7× 197 0.6× 158 0.7× 6 0.1× 12 0.3× 36 388
Xiangbing Yang United States 16 142 0.4× 567 1.6× 470 2.1× 7 0.1× 10 0.3× 46 700

Countries citing papers authored by Pascaline Audant

Since Specialization
Citations

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

Fields of papers citing papers by Pascaline Audant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pascaline Audant

This figure shows the co-authorship network connecting the top 25 collaborators of Pascaline Audant. A scholar is included among the top collaborators of Pascaline Audant 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 Pascaline Audant. Pascaline Audant 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.
Giraudo, Maeva, Frédérique Hilliou, Thierry Fricaux, et al.. (2014). Cytochrome P450s from the fall armyworm ( S podoptera frugiperda ): responses to plant allelochemicals and pesticides. Insect Molecular Biology. 24(1). 115–128. 117 indexed citations
2.
Giraudo, Maeva, Pascaline Audant, René Feyereisen, & Gaëlle Le Goff. (2013). Nuclear receptors HR96 and ultraspiracle from the fall armyworm (Spodoptera frugiperda), developmental expression and induction by xenobiotics. Journal of Insect Physiology. 59(5). 560–568. 18 indexed citations
3.
Bullangpoti, Vasakorn, Éric Wajnberg, Pascaline Audant, & René Feyereisen. (2012). Antifeedant activity of Jatropha gossypifolia and Melia azedarach senescent leaf extracts on Spodoptera frugiperda (Lepidoptera: Noctuidae) and their potential use as synergists. Pest Management Science. 68(9). 1255–1264. 81 indexed citations
4.
Wajnberg, Éric & Pascaline Audant. (2012). Antifeedant activity of Jatrophagossypifolia and Meliaazedarach senescent leaf extracts on Spodopterafrugiperda (Lepidoptera: Noctuidae)andtheirpotentialuseassynergists. 7 indexed citations
5.
Brun‐Barale, Alexandra, Omer S.A. Hema, Thibaud Martin, et al.. (2010). Multiple P450 genes overexpressed in deltamethrin‐resistant strains of Helicoverpa armigera. Pest Management Science. 66(8). 900–909. 86 indexed citations
6.
Audant, Pascaline, et al.. (2007). 7thInternational Workshop on the Molecular Biology and Genetics of the Lepidoptera. Journal of Insect Science. 7(29). 1–5. 8 indexed citations
7.
Hôtelier, Thierry, Anne‐Nathalie Volkoff, Sylvie Gimenez, et al.. (2006). SPODOBASE : an EST database for the lepidopteran crop pest Spodoptera. BMC Bioinformatics. 7(1). 322–322. 79 indexed citations
8.
Goff, Gaëlle Le, Frédérique Hilliou, Blair D. Siegfried, et al.. (2006). Xenobiotic response in Drosophila melanogaster: Sex dependence of P450 and GST gene induction. Insect Biochemistry and Molecular Biology. 36(8). 674–682. 136 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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