Antoine Neuraz

62 papers and 1.1k indexed citations i.

About

Antoine Neuraz is a scholar working on Molecular Biology, Artificial Intelligence and Genetics. According to data from OpenAlex, Antoine Neuraz has authored 62 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 18 papers in Artificial Intelligence and 12 papers in Genetics. Recurrent topics in Antoine Neuraz’s work include Biomedical Text Mining and Ontologies (17 papers), Topic Modeling (15 papers) and Genomics and Rare Diseases (9 papers). Antoine Neuraz is often cited by papers focused on Biomedical Text Mining and Ontologies (17 papers), Topic Modeling (15 papers) and Genomics and Rare Diseases (9 papers). Antoine Neuraz collaborates with scholars based in France, Spain and United States. Antoine Neuraz's co-authors include Anita Burgun, Nicolas Garcelon, Rémi Salomon, Bastien Rance, Vincent Benoît, Marina Sánchez‐Rico, Nathanaël Beeker, Nicolas Hoertel, Frédéric Limosin and Raphaël Vernet and has published in prestigious journals such as Blood, Bioinformatics and PLoS ONE.

In The Last Decade

Co-authorship network of co-authors of Antoine Neuraz i

Fields of papers citing papers by Antoine Neuraz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Antoine Neuraz

Since Specialization
Citations

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