Marc Audebert

4.5k citations
70 papers · 3.8k · h-index 32

Impact in

Papers in

Marc Audebert

65 papers receiving 3.7k citations

Peers

Marc Audebert
Comparison fields: 5 of 138
  • Cancer Research 773
  • Health, Toxicology and Mutagenesis 633
  • Molecular Biology 2.0k
  • Oncology 540
  • Biological Psychiatry 41
Replace Pablo Steinberg with:
Pablo Steinberg Germany
Yong Mei Zhao China
Premendu P. Mathur India
Sophie Langouët France
Muhammad Zafarullah Canada
Lisa Connolly United Kingdom
Danyel G. J. Jennen Netherlands
María Celeste Lopes Portugal
Paula Alexandra Martins Oliveira Portugal
Jianhong Gu China
Marc Audebert relative to Pablo Steinberg Germany Pablo Steinberg's profile →
Citations per field
00.5×2×2.6×
Pablo Steinberg · 1×
Citations per year

Countries citing papers authored by Marc Audebert

Since Specialization
Citations

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

Fields of papers citing papers by Marc Audebert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Marc Audebert, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Marc Audebert Line = papers co-authored together Marc Audebert links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004579
2 2017205
3 2015193
4 2019162
5 2011150
6 2015139
7 2016137
8 2011135
9 2008122
10 2018115
11 2000111
12 2013103
13 201898
14 201096
15
Alterations of the DNA repair gene OGG1 in human clear cell carcinomas of the kidney.
200094
16 200589
17 201381
18 201379
19 201270
20 200766

About Marc Audebert

Marc Audebert is a scholar working on Cancer Research, Health, Toxicology and Mutagenesis, Molecular Biology, Plant Science and Pharmacology, having authored 70 papers that have together received 3.8k indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (33 papers), DNA Repair Mechanisms (17 papers), Effects and risks of endocrine disrupting chemicals (15 papers), Toxic Organic Pollutants Impact (8 papers), Genetically Modified Organisms Research (6 papers), Computational Drug Discovery Methods (4 papers), Pesticide Exposure and Toxicity (4 papers) and Molecular Biology Techniques and Applications (4 papers). The work is most often cited by research in Cancer Research (773 citations), Health, Toxicology and Mutagenesis (633 citations), Molecular Biology (2.0k citations), Oncology (540 citations) and Biological Psychiatry (41 citations). Marc Audebert has collaborated with scholars based in France, Germany and Netherlands. Frequent co-authors include Patrick Calsou, Bernard Salles, Daniel Zalko, Laure Khoury, Jean‐Pierre Cravedi, Benjamin T. Kopp, Annaïg Lan, Martin Beaumont, Mireille Andriamihaja and Francois F. Blachier. Their work appears in journals such as Environmental and Molecular Mutagenesis, Archives of Toxicology, Mutation Research/Genetic Toxicology and Environmental Mutagenesis, Toxicology Letters and Mutagenesis.

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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