Laure Fournier

124 papers and 3.2k indexed citations i.

About

Laure Fournier is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Laure Fournier has authored 124 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Radiology, Nuclear Medicine and Imaging, 32 papers in Pulmonary and Respiratory Medicine and 28 papers in Surgery. Recurrent topics in Laure Fournier’s work include Radiomics and Machine Learning in Medical Imaging (32 papers), MRI in cancer diagnosis (31 papers) and Renal cell carcinoma treatment (20 papers). Laure Fournier is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (32 papers), MRI in cancer diagnosis (31 papers) and Renal cell carcinoma treatment (20 papers). Laure Fournier collaborates with scholars based in France, United States and Italy. Laure Fournier's co-authors include C.A. Cuénod, Daniel Balvay, Stéphane Oudard, Jacques Médioni, Isabelle Thomassin‐Naggara, Marie‐Pierre Revel, Olivier Clémеnt, Guy Frija, R. Thiam and Jean‐Marc Guinebretière and has published in prestigious journals such as Journal of Clinical Oncology, Gastroenterology and PLoS ONE.

In The Last Decade

Co-authorship network of co-authors of Laure Fournier i

Fields of papers citing papers by Laure Fournier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Laure Fournier

Since Specialization
Citations

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