Arnaud Augert

23 papers and 2.4k indexed citations i.

About

Arnaud Augert is a scholar working on Molecular Biology, Oncology and Physiology. According to data from OpenAlex, Arnaud Augert has authored 23 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 10 papers in Oncology and 8 papers in Physiology. Recurrent topics in Arnaud Augert’s work include Telomeres, Telomerase, and Senescence (8 papers), Neuroendocrine Tumor Research Advances (6 papers) and Lung Cancer Research Studies (6 papers). Arnaud Augert is often cited by papers focused on Telomeres, Telomerase, and Senescence (8 papers), Neuroendocrine Tumor Research Advances (6 papers) and Lung Cancer Research Studies (6 papers). Arnaud Augert collaborates with scholars based in France, United States and United Kingdom. Arnaud Augert's co-authors include David Bernard, Jesús Gil, Marco Da Costa, Ana Banito, Ana O’Loghlen, Selina Raguz, Eva Hernando, М. М. Попов, Jonathan Melamed and Fabrizio d’Adda di Fagagna and has published in prestigious journals such as Cell, Nature Communications and Genes & Development.

In The Last Decade

Co-authorship network of co-authors of Arnaud Augert i

Fields of papers citing papers by Arnaud Augert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Arnaud Augert

Since Specialization
Citations

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

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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