Aude Ferran

2.4k total citations
83 papers, 1.6k citations indexed

About

Aude Ferran is a scholar working on Insect Science, Pharmacology and Molecular Medicine. According to data from OpenAlex, Aude Ferran has authored 83 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Insect Science, 26 papers in Pharmacology and 21 papers in Molecular Medicine. Recurrent topics in Aude Ferran's work include Antibiotics Pharmacokinetics and Efficacy (26 papers), Insect-Plant Interactions and Control (25 papers) and Antibiotic Resistance in Bacteria (21 papers). Aude Ferran is often cited by papers focused on Antibiotics Pharmacokinetics and Efficacy (26 papers), Insect-Plant Interactions and Control (25 papers) and Antibiotic Resistance in Bacteria (21 papers). Aude Ferran collaborates with scholars based in France, United Kingdom and United States. Aude Ferran's co-authors include Alain Bousquet‐mélou, Pierre‐Louis Toutain, P. Lees, Ludovic Pelligand, Hing Man Chan, Anton M. Scheuhammer, JoAnn M. Holloway, Peter Damborg, G. Iperti and Dik Mevius and has published in prestigious journals such as PLoS ONE, Scientific Reports and Chemosphere.

In The Last Decade

Aude Ferran

77 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aude Ferran France 24 463 390 309 239 233 83 1.6k
T.G. Rowan United Kingdom 29 170 0.4× 281 0.7× 133 0.4× 362 1.5× 176 0.8× 92 2.5k
Arthur L. Craigmill United States 23 570 1.2× 78 0.2× 159 0.5× 148 0.6× 129 0.6× 98 1.5k
Muhammad Kashif Saleemi Pakistan 27 97 0.2× 438 1.1× 148 0.5× 104 0.4× 1.3k 5.6× 139 2.6k
Lucinda M. C. Hall United Kingdom 39 731 1.6× 153 0.4× 1.3k 4.3× 302 1.3× 372 1.6× 65 3.7k
Mohammed Sebaihia United Kingdom 21 97 0.2× 258 0.7× 282 0.9× 172 0.7× 516 2.2× 55 2.7k
Ahrar Khan Pakistan 33 77 0.2× 497 1.3× 72 0.2× 198 0.8× 1.3k 5.6× 189 3.5k
Stephen W. Page Australia 18 126 0.3× 46 0.1× 240 0.8× 178 0.7× 77 0.3× 79 1.1k
Valério Monteiro‐Neto Brazil 23 73 0.2× 196 0.5× 239 0.8× 99 0.4× 184 0.8× 65 1.8k
Sebastian Gnat Poland 24 78 0.2× 80 0.2× 92 0.3× 94 0.4× 167 0.7× 80 1.4k
Vera Lúcia Mores Rall Brazil 30 98 0.2× 258 0.7× 121 0.4× 181 0.8× 288 1.2× 120 2.5k

Countries citing papers authored by Aude Ferran

Since Specialization
Citations

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

Fields of papers citing papers by Aude Ferran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aude Ferran

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

All Works

20 of 20 papers shown
1.
Dordet‐Frisoni, Emilie, et al.. (2024). The sub-MIC selective window decreases along the digestive tract: determination of the minimal selective concentration of oxytetracycline in sterilised intestinal contents. Frontiers in Microbiology. 15. 1377159–1377159. 1 indexed citations
2.
Üzel, Mehmet, et al.. (2024). Population pharmacokinetics modelling for clinical dose adjustment of carboplatin in dogs. BMC Veterinary Research. 20(1). 575–575.
3.
Devreese, Mathias, et al.. (2024). Pharmacokinetic modeling of sulfamethoxazole-trimethoprim and sulfadiazine-trimethoprim combinations in broilers. Poultry Science. 103(11). 104200–104200. 2 indexed citations
4.
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Toutain, Pierre‐Louis, Peggy Gandia, Ludovic Pelligand, et al.. (2023). Biased computation of probability of target attainment for antimicrobial drugs. CPT Pharmacometrics & Systems Pharmacology. 12(5). 681–689. 8 indexed citations
6.
Laurentie, Michel, et al.. (2023). O111 | Population PK modeling of different sulfonamides in association with trimethoprim in pigs. Journal of Veterinary Pharmacology and Therapeutics. 46(S1). 82–83. 1 indexed citations
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Concordet, Didier, Peggy Gandia, Jean‐Louis Montastruc, et al.. (2019). Levothyrox® New and Old Formulations: Are they Switchable for Millions of Patients?. Clinical Pharmacokinetics. 58(7). 827–833. 20 indexed citations
10.
Concordet, Didier, Peggy Gandia, Jean‐Louis Montastruc, et al.. (2019). Why Were More Than 200 Subjects Required to Demonstrate the Bioequivalence of a New Formulation of Levothyroxine with an Old One?. Clinical Pharmacokinetics. 59(1). 1–5. 7 indexed citations
11.
Ferran, Aude, et al.. (2018). Session 11: New Methods in Infectiology. Journal of Veterinary Pharmacology and Therapeutics. 41(S1). 40–42. 1 indexed citations
12.
Toutain, Pierre‐Louis, Alain Bousquet‐mélou, Peter Damborg, et al.. (2017). En Route towards European Clinical Breakpoints for Veterinary Antimicrobial Susceptibility Testing: A Position Paper Explaining the VetCAST Approach. Frontiers in Microbiology. 8. 2344–2344. 119 indexed citations
13.
Lhermie, Guillaume, Aude Ferran, Sébastien Assié, et al.. (2016). Impact of Timing and Dosage of a Fluoroquinolone Treatment on the Microbiological, Pathological, and Clinical Outcomes of Calves Challenged with Mannheimia haemolytica. Frontiers in Microbiology. 7. 237–237. 30 indexed citations
14.
Lhermie, Guillaume, Farid El Garch, Pierre‐Louis Toutain, Aude Ferran, & Alain Bousquet‐mélou. (2015). Bacterial Species-Specific Activity of a Fluoroquinolone against Two Closely Related Pasteurellaceae with Similar MICs: Differential In Vitro Inoculum Effects and In Vivo Efficacies. PLoS ONE. 10(10). e0141441–e0141441. 8 indexed citations
15.
Ferran, Aude & A. F. G. Dixon. (2013). Foraging behaviour of ladybird larvae (Coleoptera: Coccinellidae). European Journal of Entomology. 90(4). 383–402. 23 indexed citations
16.
Ferran, Aude, Pierre‐Louis Toutain, & Alain Bousquet‐mélou. (2010). Impact of early versus later fluoroquinolone treatment on the clinical; microbiological and resistance outcomes in a mouse-lung model of Pasteurella multocida infection. Veterinary Microbiology. 148(2-4). 292–297. 41 indexed citations
17.
Ferran, Aude, et al.. (2000). Introduction and release of the coccinellid Harmonia axyridis Pallas for controlling Aphis craccivora Koch on faba beans in Egypt.. Egyptian Journal of Biological Pest Control. 10. 129–136. 19 indexed citations
18.
Hénaut, Yann, et al.. (2000). Effect of Nymphal Diet on Adult Predation Behavior inOrius majusculus(Heteroptera: Anthocoridae). Journal of Economic Entomology. 93(2). 252–255. 17 indexed citations
19.
Piotte, Christine, et al.. (1999). A sedentary Harmonia axyridis ladybird against aphids. A highly efficient ally in biological control. 1 indexed citations
20.
Ferran, Aude, et al.. (1984). Les relations trophiques entre les larves de la coccinelle Semiadalia undecimnotata Schn. et le puceron Myzus persicae Sulz.: généralisation à d'autres couples «proie-prédateur» et influence des conditions d'élevage de l'auxiliaire. HAL (Le Centre pour la Communication Scientifique Directe). 5(1). 85–97. 2 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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