Thomas Daix

31 papers and 670 indexed citations i.

About

Thomas Daix is a scholar working on Epidemiology, Infectious Diseases and Immunology. According to data from OpenAlex, Thomas Daix has authored 31 papers receiving a total of 670 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Epidemiology, 13 papers in Infectious Diseases and 7 papers in Immunology. Recurrent topics in Thomas Daix’s work include Sepsis Diagnosis and Treatment (15 papers), Nosocomial Infections in ICU (6 papers) and COVID-19 Clinical Research Studies (5 papers). Thomas Daix is often cited by papers focused on Sepsis Diagnosis and Treatment (15 papers), Nosocomial Infections in ICU (6 papers) and COVID-19 Clinical Research Studies (5 papers). Thomas Daix collaborates with scholars based in France, Ivory Coast and United States. Thomas Daix's co-authors include Bruno François, Robin Jeannet, Richard S. Hotchkiss, Guillaume Monneret, Philippe Vignon, Jacqueline Unsinger, Michel Morre, Jane Blood, Andrew H. Walton and Teresa Blood and has published in prestigious journals such as The Journal of Experimental Medicine, PLoS ONE and Journal of Leukocyte Biology.

In The Last Decade

Co-authorship network of co-authors of Thomas Daix i

Fields of papers citing papers by Thomas Daix

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Thomas Daix

Since Specialization
Citations

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