Maud Arsac

6 papers and 293 indexed citations i.

About

Maud Arsac is a scholar working on Epidemiology, Clinical Biochemistry and Molecular Biology. According to data from OpenAlex, Maud Arsac has authored 6 papers receiving a total of 293 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Epidemiology, 4 papers in Clinical Biochemistry and 2 papers in Molecular Biology. Recurrent topics in Maud Arsac’s work include Bacterial Identification and Susceptibility Testing (4 papers), Molecular Biology Techniques and Applications (1 paper) and Hepatitis C virus research (1 paper). Maud Arsac is often cited by papers focused on Bacterial Identification and Susceptibility Testing (4 papers), Molecular Biology Techniques and Applications (1 paper) and Hepatitis C virus research (1 paper). Maud Arsac collaborates with scholars based in France, United States and Switzerland. Maud Arsac's co-authors include Victoria Girard, Alex van Belkum, G. Durand, Martin Welker, Bertrand Bonnaud, Olivier Bouton, Jean-Philippe Pichon, Juliette Gimenez, François Mallet and David Pincus and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and Journal of Clinical Microbiology.

In The Last Decade

Co-authorship network of co-authors of Maud Arsac i

Fields of papers citing papers by Maud Arsac

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Maud Arsac

Since Specialization
Citations

This map shows the geographic impact of Maud Arsac'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 Maud Arsac with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maud Arsac 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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2025