Marie-Laure Chabi

11 papers and 195 indexed citations i.

About

Marie-Laure Chabi is a scholar working on Pulmonary and Respiratory Medicine, Epidemiology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Marie-Laure Chabi has authored 11 papers receiving a total of 195 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pulmonary and Respiratory Medicine, 4 papers in Epidemiology and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Marie-Laure Chabi’s work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (3 papers), COVID-19 diagnosis using AI (2 papers) and COVID-19 Clinical Research Studies (2 papers). Marie-Laure Chabi is often cited by papers focused on Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (3 papers), COVID-19 diagnosis using AI (2 papers) and COVID-19 Clinical Research Studies (2 papers). Marie-Laure Chabi collaborates with scholars based in France, Italy and Canada. Marie-Laure Chabi's co-authors include Marie‐Pierre Revel, Audrey Lupo, Nicolás Roche, A. Paugam, Clarisse Dromain, Samia Boussouar, Corinne Balleyguier, Isabelle Borget, Philippe Greniér and François Mellot and has published in prestigious journals such as American Journal of Roentgenology, European Radiology and Respiratory Research.

In The Last Decade

Co-authorship network of co-authors of Marie-Laure Chabi i

Fields of papers citing papers by Marie-Laure Chabi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marie-Laure Chabi. 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 Marie-Laure Chabi. The network helps show where Marie-Laure Chabi may publish in the future.

Countries citing papers authored by Marie-Laure Chabi

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025