Aurélie Kamoun

70 total papers · 2.8k total citations
16 papers, 968 citations indexed

About

Aurélie Kamoun is a scholar working on Cancer Research, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Aurélie Kamoun has authored 16 papers receiving a total of 968 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cancer Research, 6 papers in Molecular Biology and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Aurélie Kamoun's work include Glioma Diagnosis and Treatment (4 papers), Cancer Genomics and Diagnostics (4 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Aurélie Kamoun is often cited by papers focused on Glioma Diagnosis and Treatment (4 papers), Cancer Genomics and Diagnostics (4 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Aurélie Kamoun collaborates with scholars based in France, Switzerland and Spain. Aurélie Kamoun's co-authors include Meriem Sefta, Charlie Saillard, Alberto Romagnoni, Gilles Wainrib, Benoît Schmauch, Thomas Clozel, Julien Caldéraro, Elodie Pronier, Pierre Courtiol and Matahi Moarii and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and Bioinformatics.

In The Last Decade

Aurélie Kamoun

14 papers receiving 958 citations

Hit Papers

A deep learning model to ... 2020 2026 2022 2024 2020 50 100 150 200 250

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Aurélie Kamoun 349 283 268 227 199 16 968
Matthew Schniederjan 353 1.0× 179 0.6× 458 1.7× 93 0.4× 176 0.9× 47 1.1k
Irena Radovanovic 391 1.1× 112 0.4× 164 0.6× 77 0.3× 110 0.6× 16 1.1k
Nike Beaubier 322 0.9× 170 0.6× 243 0.9× 109 0.5× 140 0.7× 16 972
Guillaume Bataillon 220 0.6× 219 0.8× 74 0.3× 125 0.6× 134 0.7× 42 994
Darren Riehle 315 0.9× 224 0.8× 148 0.6× 71 0.3× 359 1.8× 27 1.2k
Mark Gustavson 394 1.1× 243 0.9× 117 0.4× 147 0.6× 153 0.8× 30 810
Vilppu J. Tuominen 296 0.8× 164 0.6× 31 0.1× 153 0.7× 133 0.7× 13 816
Jon Strasser 391 1.1× 216 0.8× 161 0.6× 315 1.4× 166 0.8× 25 1.2k
Xuejin Ou 203 0.6× 68 0.2× 104 0.4× 344 1.5× 163 0.8× 21 1.0k
Roeland Verhaak 576 1.7× 351 1.2× 219 0.8× 80 0.4× 110 0.6× 14 910

Countries citing papers authored by Aurélie Kamoun

Since Specialization
Citations

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

Fields of papers citing papers by Aurélie Kamoun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aurélie Kamoun

This figure shows the co-authorship network connecting the top 25 collaborators of Aurélie Kamoun. A scholar is included among the top collaborators of Aurélie Kamoun based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Aurélie Kamoun. Aurélie Kamoun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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