V. Thybaud

603 total citations
8 papers, 438 citations indexed

About

V. Thybaud is a scholar working on Cancer Research, Plant Science and Molecular Biology. According to data from OpenAlex, V. Thybaud has authored 8 papers receiving a total of 438 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cancer Research, 5 papers in Plant Science and 3 papers in Molecular Biology. Recurrent topics in V. Thybaud's work include Carcinogens and Genotoxicity Assessment (7 papers), Genetically Modified Organisms Research (4 papers) and Effects and risks of endocrine disrupting chemicals (3 papers). V. Thybaud is often cited by papers focused on Carcinogens and Genotoxicity Assessment (7 papers), Genetically Modified Organisms Research (4 papers) and Effects and risks of endocrine disrupting chemicals (3 papers). V. Thybaud collaborates with scholars based in France, United Kingdom and United States. V. Thybaud's co-authors include Kerry L. Dearfield, Errol Zeiger, James T. MacGregor, B. Bhaskar Gollapudi, Paul A. White, Lya G. Soeteman‐Hernández, Jan van Benthem, Lynn H. Pottenger, David P. Lovell and George E. Johnson and has published in prestigious journals such as Mutation Research/Genetic Toxicology and Environmental Mutagenesis, Regulatory Toxicology and Pharmacology and Mutagenesis.

In The Last Decade

V. Thybaud

8 papers receiving 424 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
V. Thybaud France 8 297 171 165 125 39 8 438
Melanie Guérard Switzerland 11 320 1.1× 171 1.0× 223 1.4× 124 1.0× 51 1.3× 21 489
Wakako Ohyama Japan 12 305 1.0× 174 1.0× 120 0.7× 127 1.0× 70 1.8× 30 431
Andreas Zeller Switzerland 11 225 0.8× 116 0.7× 179 1.1× 84 0.7× 43 1.1× 27 409
Hironao Takasawa Japan 13 370 1.2× 178 1.0× 180 1.1× 136 1.1× 38 1.0× 26 490
Hans‐Joerg Martus Switzerland 10 188 0.6× 94 0.5× 118 0.7× 83 0.7× 37 0.9× 19 357
Kamala Pant United States 13 216 0.7× 177 1.0× 163 1.0× 71 0.6× 91 2.3× 34 497
Laure Khoury France 8 204 0.7× 97 0.6× 202 1.2× 144 1.2× 25 0.6× 12 470
Paul E. Kirby United States 11 288 1.0× 169 1.0× 151 0.9× 94 0.8× 48 1.2× 14 448
Ayako Saga Japan 8 244 0.8× 150 0.9× 128 0.8× 105 0.8× 37 0.9× 11 417
R.D. Callander United Kingdom 17 380 1.3× 169 1.0× 254 1.5× 133 1.1× 60 1.5× 36 630

Countries citing papers authored by V. Thybaud

Since Specialization
Citations

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

Fields of papers citing papers by V. Thybaud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of V. Thybaud

This figure shows the co-authorship network connecting the top 25 collaborators of V. Thybaud. A scholar is included among the top collaborators of V. Thybaud 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 V. Thybaud. V. Thybaud 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.
Bercu, Joel P., Sheila M. Galloway, Andrew Teasdale, et al.. (2018). Potential impurities in drug substances: Compound-specific toxicology limits for 20 synthetic reagents and by-products, and a class-specific toxicology limit for alkyl bromides. Regulatory Toxicology and Pharmacology. 94. 172–182. 36 indexed citations
2.
Lorge, Elisabeth, Martha M. Moore, Julie Clements, et al.. (2016). Standardized cell sources and recommendations for good cell culture practices in genotoxicity testing. Mutation Research/Genetic Toxicology and Environmental Mutagenesis. 809. 1–15. 48 indexed citations
3.
Johnson, George E., Lya G. Soeteman‐Hernández, B. Bhaskar Gollapudi, et al.. (2014). Derivation of point of departure (PoD) estimates in genetic toxicology studies and their potential applications in risk assessment. Environmental and Molecular Mutagenesis. 55(8). 609–623. 114 indexed citations
4.
Gollapudi, B. Bhaskar, George E. Johnson, Lya G. Soeteman‐Hernández, et al.. (2012). Quantitative approaches for assessing dose–response relationships in genetic toxicology studies. Environmental and Molecular Mutagenesis. 54(1). 8–18. 114 indexed citations
5.
Thybaud, V., Marilyn J. Aardema, Julie Clements, et al.. (2006). Strategy for genotoxicity testing: Hazard identification and risk assessment in relation to in vitro testing. Mutation Research/Genetic Toxicology and Environmental Mutagenesis. 627(1). 41–58. 89 indexed citations
7.
Brault, Daniel, et al.. (1994). Validation of the in vivo CD1 mouse splenocyte micronucleus test. Mutagenesis. 9(3). 199–204. 17 indexed citations
8.
Thybaud, V., et al.. (1991). Optimum associations of tester strains for maximum detection of mutagenic compounds in the Ames test. Mutation Research/Environmental Mutagenesis and Related Subjects. 252(3). 269–279. 11 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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