A. Pery

821 total citations
29 papers, 702 citations indexed

About

A. Pery is a scholar working on Health, Toxicology and Mutagenesis, Ecology and Pollution. According to data from OpenAlex, A. Pery has authored 29 papers receiving a total of 702 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Health, Toxicology and Mutagenesis, 8 papers in Ecology and 5 papers in Pollution. Recurrent topics in A. Pery's work include Environmental Toxicology and Ecotoxicology (8 papers), Effects and risks of endocrine disrupting chemicals (6 papers) and Carcinogens and Genotoxicity Assessment (5 papers). A. Pery is often cited by papers focused on Environmental Toxicology and Ecotoxicology (8 papers), Effects and risks of endocrine disrupting chemicals (6 papers) and Carcinogens and Genotoxicity Assessment (5 papers). A. Pery collaborates with scholars based in France, Morocco and Denmark. A. Pery's co-authors include Jeanne Garric, R. Mons, Laurent Lagadic, Patrick Flammarion, Virginie Ducrot, Rémy Beaudouin, Lydie Sparfel, Olivier Fardel, Benoît Goussen and Céline Pelosi and has published in prestigious journals such as PLoS ONE, Analytical Chemistry and The Science of The Total Environment.

In The Last Decade

A. Pery

29 papers receiving 678 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. Pery France 15 377 189 167 116 73 29 702
Malyka Galay‐Burgos United Kingdom 19 536 1.4× 379 2.0× 104 0.6× 131 1.1× 24 0.3× 26 1.2k
Kurt A. Gust United States 19 414 1.1× 163 0.9× 118 0.7× 141 1.2× 56 0.8× 53 796
Séverine Jean France 15 272 0.7× 218 1.2× 216 1.3× 114 1.0× 16 0.2× 26 925
Jiancao Gao China 18 341 0.9× 178 0.9× 147 0.9× 130 1.1× 15 0.2× 65 945
Mark P. Gunderson United States 18 517 1.4× 319 1.7× 177 1.1× 138 1.2× 31 0.4× 29 1.2k
Simone Hasenbein United States 13 325 0.9× 235 1.2× 72 0.4× 59 0.5× 25 0.3× 18 536
Seiichi Uno Japan 21 582 1.5× 382 2.0× 99 0.6× 148 1.3× 20 0.3× 76 1.1k
Armando Vega‐López Mexico 16 383 1.0× 172 0.9× 69 0.4× 112 1.0× 16 0.2× 65 761
Claire Streten Australia 16 169 0.4× 134 0.7× 158 0.9× 73 0.6× 31 0.4× 32 662
Éric Thybaud France 14 470 1.2× 370 2.0× 59 0.4× 63 0.5× 20 0.3× 33 783

Countries citing papers authored by A. Pery

Since Specialization
Citations

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

Fields of papers citing papers by A. Pery

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Pery

This figure shows the co-authorship network connecting the top 25 collaborators of A. Pery. A scholar is included among the top collaborators of A. Pery 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 A. Pery. A. Pery 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.
Nélieu, Sylvie, et al.. (2020). Soil dissipation and bioavailability to earthworms of two fungicides under laboratory and field conditions. Environmental Science and Pollution Research. 27(34). 43044–43055. 3 indexed citations
2.
Bart, Sylvain, Céline Pelosi, Sylvie Nélieu, Isabelle Lamy, & A. Pery. (2019). An energy-based model to analyze growth data of earthworms exposed to two fungicides. Environmental Science and Pollution Research. 27(1). 741–750. 13 indexed citations
3.
Bart, Sylvain, et al.. (2017). Differences in sensitivity between earthworms and enchytraeids exposed to two commercial fungicides. Ecotoxicology and Environmental Safety. 140. 177–184. 35 indexed citations
4.
Ferrari, B., Pierre Labadie, Rémy Beaudouin, et al.. (2017). Refining uptake and depuration constants for fluoroalkyl chemicals in Chironomus riparius larvae on the basis of experimental results and modelling. Ecotoxicology and Environmental Safety. 149. 284–290. 5 indexed citations
5.
Sonavane, Manoj, Nicolas Creusot, Emmanuelle Maillot‐Maréchal, et al.. (2016). Zebrafish-based reporter gene assays reveal different estrogenic activities in river waters compared to a conventional human-derived assay. The Science of The Total Environment. 550. 934–939. 28 indexed citations
6.
Tebby, Cléo, et al.. (2016). Analysis of real-time mixture cytotoxicity data following repeated exposure using BK/TD models. Toxicology and Applied Pharmacology. 305. 118–126. 3 indexed citations
7.
8.
Bois, Frédéric Y., Simona Kovarich, Klaus Mauch, et al.. (2016). Multiscale modelling approaches for assessing cosmetic ingredients safety. Toxicology. 392. 130–139. 20 indexed citations
9.
Beaudouin, Rémy, Benoît Goussen, Benjamin Piccini, et al.. (2015). An Individual-Based Model of Zebrafish Population Dynamics Accounting for Energy Dynamics. PLoS ONE. 10(5). e0125841–e0125841. 40 indexed citations
10.
Beaudouin, Rémy, et al.. (2015). BK/TD models for analyzing in vitro impedance data on cytotoxicity. Toxicology Letters. 235(2). 96–106. 8 indexed citations
11.
Goussen, Benoît, et al.. (2014). Energy-based modelling to assess effects of chemicals on Caenorhabditis elegans: A case study on uranium. Chemosphere. 120. 507–514. 32 indexed citations
12.
Shintu, Laetitia, R. Baudoin, Vincent Navratil, et al.. (2012). Metabolomics-on-a-Chip and Predictive Systems Toxicology in Microfluidic Bioartificial Organs. Analytical Chemistry. 84(4). 1840–1848. 83 indexed citations
13.
Yengo, Loïc, Céline Brochot, & A. Pery. (2010). Combined Global Sensitivity Analysis and Population PBPK Modeling for Assessing Consistency of TCDD Toxicokinetics Data in Mice. Procedia - Social and Behavioral Sciences. 2(6). 7770–7771. 1 indexed citations
14.
15.
Sparfel, Lydie, et al.. (2010). Transcriptional Signature of Human Macrophages Exposed to the Environmental Contaminant Benzo(a)pyrene. Toxicological Sciences. 114(2). 247–259. 70 indexed citations
16.
Ducrot, Virginie, A. Pery, R. Mons, et al.. (2007). Dynamic energy budget as a basis to model population-level effects of zinc-spiked sediments in the gastropodValvata piscinalis. Environmental Toxicology and Chemistry. 26(8). 1774–1783. 16 indexed citations
17.
Servia, María J., et al.. (2006). Effects of copper on energy metabolism and larval development in the midge Chironomus riparius. Ecotoxicology. 15(3). 229–240. 50 indexed citations
18.
Ducrot, Virginie, Philippe Usseglio‐Polatera, A. Pery, et al.. (2005). Using aquatic macroinvertebrate species traits to build test batteries for sediment toxicity assessment: Accounting for the diversity of potential biological responses to toxicants. Environmental Toxicology and Chemistry. 24(9). 2306–2315. 28 indexed citations
19.
Pery, A., Virginie Ducrot, R. Mons, & Jeanne Garric. (2003). Modelling toxicity and mode of action of chemicals to analyse growth and emergence tests with the midge Chironomus riparius. Aquatic Toxicology. 65(3). 281–292. 37 indexed citations
20.
Pery, A., et al.. (2003). A model to understand the confounding effects of natural sediments in toxicity tests with Chironomus riparius. Environmental Toxicology and Chemistry. 22(10). 2476–2481. 19 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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