Benoît Goussen

485 total citations
22 papers, 315 citations indexed

About

Benoît Goussen is a scholar working on Health, Toxicology and Mutagenesis, Ecology and Aging. According to data from OpenAlex, Benoît Goussen has authored 22 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Health, Toxicology and Mutagenesis, 7 papers in Ecology and 6 papers in Aging. Recurrent topics in Benoît Goussen's work include Environmental Toxicology and Ecotoxicology (7 papers), Genetics, Aging, and Longevity in Model Organisms (6 papers) and Pesticide Residue Analysis and Safety (5 papers). Benoît Goussen is often cited by papers focused on Environmental Toxicology and Ecotoxicology (7 papers), Genetics, Aging, and Longevity in Model Organisms (6 papers) and Pesticide Residue Analysis and Safety (5 papers). Benoît Goussen collaborates with scholars based in France, Germany and United Kingdom. Benoît Goussen's co-authors include Jean‐Marc Bonzom, Rémy Beaudouin, Roman Ashauer, Simon Galas, Oliver R. Price, Cecilie Rendal, Catherine Lecomte, A. Pery, André Gergs and Tjalling Jager and has published in prestigious journals such as Environmental Science & Technology, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Benoît Goussen

22 papers receiving 313 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Benoît Goussen France 11 137 85 71 51 42 22 315
Bas Kooijman Netherlands 6 130 0.9× 127 1.5× 72 1.0× 103 2.0× 31 0.7× 8 359
Tana V. McDaniel Canada 13 248 1.8× 88 1.0× 220 3.1× 66 1.3× 22 0.5× 19 457
Samuel J. Macaulay New Zealand 10 100 0.7× 99 1.2× 63 0.9× 19 0.4× 48 1.1× 12 309
Rossineide Martins da Rocha Brazil 14 96 0.7× 145 1.7× 78 1.1× 136 2.7× 18 0.4× 66 559
Jens Thaulow Norway 11 37 0.3× 129 1.5× 17 0.2× 59 1.2× 39 0.9× 18 273
Sidnei Eduardo Lima-Júnior Brazil 17 118 0.9× 83 1.0× 73 1.0× 38 0.7× 26 0.6× 46 533
Harold E. Balbach United States 11 75 0.5× 62 0.7× 45 0.6× 39 0.8× 39 0.9× 20 308
Ahmed Yahyaoui Morocco 11 52 0.4× 92 1.1× 52 0.7× 84 1.6× 37 0.9× 54 349
Francesco Polazzo Spain 9 83 0.6× 126 1.5× 36 0.5× 40 0.8× 15 0.4× 14 263
S. V. Krishnamurthy India 12 156 1.1× 78 0.9× 77 1.1× 215 4.2× 32 0.8× 34 392

Countries citing papers authored by Benoît Goussen

Since Specialization
Citations

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

Fields of papers citing papers by Benoît Goussen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benoît Goussen

This figure shows the co-authorship network connecting the top 25 collaborators of Benoît Goussen. A scholar is included among the top collaborators of Benoît Goussen 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 Benoît Goussen. Benoît Goussen 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.
2.
Romoli, C., et al.. (2023). Environmental Risk Assessment with Energy Budget Models: A Comparison Between Two Models of Different Complexity. Environmental Toxicology and Chemistry. 43(2). 440–449. 3 indexed citations
3.
Goussen, Benoît, et al.. (2023). Development of a mechanistic model for analyzing avian reproduction data for pesticide risk assessment. Environmental Pollution. 327. 121477–121477. 4 indexed citations
4.
Jager, Tjalling, et al.. (2022). The application and limitations of exposure multiplication factors in sublethal effect modelling. Scientific Reports. 12(1). 6031–6031. 3 indexed citations
5.
Jager, Tjalling, Benoît Goussen, & André Gergs. (2022). Using the standard DEB animal model for toxicokinetic-toxicodynamic analysis. Ecological Modelling. 475. 110187–110187. 16 indexed citations
6.
Baas, Jan, et al.. (2022). BeeGUTS—A Toxicokinetic–Toxicodynamic Model for the Interpretation and Integration of Acute and Chronic Honey Bee Tests. Environmental Toxicology and Chemistry. 41(9). 2193–2201. 5 indexed citations
7.
Marn, Nina, et al.. (2022). Energetic basis for bird ontogeny and egg-laying applied to the bobwhite quail. Conservation Physiology. 10(1). coac063–coac063. 10 indexed citations
8.
Preuß, Thomas G., et al.. (2022). The BEEHAVEecotox Model—Integrating a Mechanistic Effect Module into the Honeybee Colony Model. Environmental Toxicology and Chemistry. 41(11). 2870–2882. 8 indexed citations
9.
Jager, Tjalling, et al.. (2021). Considerations for using reproduction data in toxicokinetic–toxicodynamic modeling. Integrated Environmental Assessment and Management. 18(2). 479–487. 6 indexed citations
10.
Goussen, Benoît, Cecilie Rendal, David Sheffield, et al.. (2020). Bioenergetics modelling to analyse and predict the joint effects of multiple stressors: Meta-analysis and model corroboration. The Science of The Total Environment. 749. 141509–141509. 16 indexed citations
11.
Goussen, Benoît, et al.. (2018). Modelling historical mesocosm data: Application of a fish bioenergetics model in semi‐natural conditions. Ecology Of Freshwater Fish. 27(4). 1101–1113. 4 indexed citations
12.
Réale, Denis, et al.. (2017). Adaptation costs to constant and alternating polluted environments. Evolutionary Applications. 10(8). 839–851. 17 indexed citations
13.
Goussen, Benoît, Oliver R. Price, Cecilie Rendal, & Roman Ashauer. (2016). Integrated presentation of ecological risk from multiple stressors. Scientific Reports. 6(1). 36004–36004. 41 indexed citations
14.
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
15.
Goussen, Benoît, et al.. (2015). Pollution Breaks Down the Genetic Architecture of Life History Traits in Caenorhabditis elegans. PLoS ONE. 10(2). e0116214–e0116214. 8 indexed citations
16.
Goussen, Benoît, Alexandre R.R. Péry, Jean‐Marc Bonzom, & Rémy Beaudouin. (2015). Transgenerational Adaptation to Pollution Changes Energy Allocation in Populations of Nematodes. Environmental Science & Technology. 49(20). 12500–12508. 14 indexed citations
17.
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
18.
Bonzom, Jean‐Marc, Catherine Lecomte, Benoît Goussen, et al.. (2014). Rapid evolutionary responses of life history traits to different experimentally-induced pollutions in Caenorhabditis elegans. BMC Evolutionary Biology. 14(1). 252–252. 19 indexed citations
19.
Goussen, Benoît, et al.. (2014). Effects of chronic gamma irradiation: a multigenerational study using Caenorhabditis elegans. Journal of Environmental Radioactivity. 137. 190–197. 39 indexed citations
20.
Goussen, Benoît, et al.. (2013). Consequences of a multi-generation exposure to uranium on Caenorhabditis elegans life parameters and sensitivity. Ecotoxicology. 22(5). 869–878. 25 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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