R. Gaudin

14 total papers · 463 total citations
11 papers, 389 citations indexed

About

R. Gaudin is a scholar working on Health, Toxicology and Mutagenesis, Cancer Research and Small Animals. According to data from OpenAlex, R. Gaudin has authored 11 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Health, Toxicology and Mutagenesis, 6 papers in Cancer Research and 2 papers in Small Animals. Recurrent topics in R. Gaudin's work include Carcinogens and Genotoxicity Assessment (6 papers), Effects and risks of endocrine disrupting chemicals (5 papers) and Air Quality and Health Impacts (2 papers). R. Gaudin is often cited by papers focused on Carcinogens and Genotoxicity Assessment (6 papers), Effects and risks of endocrine disrupting chemicals (5 papers) and Air Quality and Health Impacts (2 papers). R. Gaudin collaborates with scholars based in France and Switzerland. R. Gaudin's co-authors include P. Ducos, Alain Robert, Joan Bel, Pascal Wild, David Vernez, Nancy B. Hopf, Aurélie Berthet, Philipp Spring, Sophie Ndaw and G. Morel and has published in prestigious journals such as Environmental Research, Toxicology Letters and International Archives of Occupational and Environmental Health.

In The Last Decade

R. Gaudin

11 papers receiving 370 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
R. Gaudin	239	217	45	44	33	11	389
Chui Jin	227 0.9×	265 1.2×	28 0.6×	34 0.8×	26 0.8×	15	415
J. Flek	148 0.6×	150 0.7×	40 0.9×	62 1.4×	31 0.9×	19	390
William E. Rinehart	206 0.9×	76 0.4×	31 0.7×	33 0.8×	16 0.5×	28	419
Patrick W. Langvardt	126 0.5×	179 0.8×	30 0.7×	93 2.1×	42 1.3×	15	444
Ivan D. Dobrev	176 0.7×	158 0.7×	26 0.6×	87 2.0×	14 0.4×	15	407
G Maranelli	250 1.0×	141 0.6×	96 2.1×	23 0.5×	48 1.5×	26	441
E. Van Vlem	154 0.6×	141 0.6×	29 0.6×	57 1.3×	35 1.1×	14	440
Per H. Näslund	98 0.4×	97 0.4×	37 0.8×	121 2.8×	34 1.0×	22	406
Shiro Takada	209 0.9×	144 0.7×	30 0.7×	29 0.7×	14 0.4×	28	384
Carl L. Hake	97 0.4×	115 0.5×	67 1.5×	20 0.5×	18 0.5×	15	393

Countries citing papers authored by R. Gaudin

Since Specialization

Citations

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

Fields of papers citing papers by R. Gaudin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. Gaudin

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

All Works

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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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