Marie‐Pierre Revel

131 papers and 3.8k indexed citations i.

About

Marie‐Pierre Revel is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Marie‐Pierre Revel has authored 131 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Pulmonary and Respiratory Medicine, 44 papers in Radiology, Nuclear Medicine and Imaging and 23 papers in Surgery. Recurrent topics in Marie‐Pierre Revel’s work include Lung Cancer Diagnosis and Treatment (32 papers), Radiomics and Machine Learning in Medical Imaging (16 papers) and Medical Imaging Techniques and Applications (13 papers). Marie‐Pierre Revel is often cited by papers focused on Lung Cancer Diagnosis and Treatment (32 papers), Radiomics and Machine Learning in Medical Imaging (16 papers) and Medical Imaging Techniques and Applications (13 papers). Marie‐Pierre Revel collaborates with scholars based in France, Switzerland and Italy. Marie‐Pierre Revel's co-authors include Olivier Sanchez, Guy Meyer, Guy Frija, Guillaume Chassagnon, C. Lefort, Marie Bienvenu, Alvine Bissery, Pierre‐Marie Roy, Henri Bounameaux and Arnaud Perrier and has published in prestigious journals such as New England Journal of Medicine, The Lancet and Journal of Clinical Oncology.

In The Last Decade

Co-authorship network of co-authors of Marie‐Pierre Revel i

Fields of papers citing papers by Marie‐Pierre Revel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marie‐Pierre Revel. 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‐Pierre Revel. The network helps show where Marie‐Pierre Revel may publish in the future.

Countries citing papers authored by Marie‐Pierre Revel

Since Specialization
Citations

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