Aurélie Kamoun

2.9k total citations · 1 hit paper
16 papers, 985 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 985 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, Guadeloupe and United States. Aurélie Kamoun's co-authors include Charlie Saillard, Meriem Sefta, Thomas Clozel, Mikhail Zaslavskiy, Alberto Romagnoni, Pascale Maillé, Matahi Moarii, Pierre Courtiol, Julien Caldéraro and Benoît Schmauch 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 975 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A deep learning model to predict RNA-Seq expression of tumours from whole slide images

2020 282 citations Benoît Schmauch, Alberto Romagnoni et al. Nature Communications profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Aurélie Kamoun France	11	352	284	271	230	202	16	985
Matthew Schniederjan United States	20	354 1.0×	179 0.6×	467 1.7×	93 0.4×	177 0.9×	47	1.1k
Zhongliang Hu China	20	480 1.4×	199 0.7×	160 0.6×	152 0.7×	234 1.2×	43	1.1k
Andra Krauze United States	15	229 0.7×	124 0.4×	373 1.4×	351 1.5×	347 1.7×	64	1.0k
Friedrich Feuerhake Germany	21	433 1.2×	204 0.7×	389 1.4×	133 0.6×	156 0.8×	89	1.6k
MacLean P. Nasrallah United States	23	319 0.9×	242 0.9×	761 2.8×	543 2.4×	223 1.1×	97	1.5k
Guillaume Bataillon France	13	222 0.6×	219 0.8×	74 0.3×	125 0.5×	135 0.7×	42	1000
Zenghui Qian China	18	210 0.6×	198 0.7×	583 2.2×	672 2.9×	481 2.4×	54	1.4k
Wanming Hu China	17	215 0.6×	158 0.6×	158 0.6×	98 0.4×	190 0.9×	78	944
Stephen Yip United States	13	275 0.8×	227 0.8×	352 1.3×	1.2k 5.4×	562 2.8×	24	1.9k
Zev A. Binder United States	22	476 1.4×	283 1.0×	426 1.6×	173 0.8×	164 0.8×	69	1.2k

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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16 of 16 papers shown

Linsen, Sam, et al.. (2025). A comparison of CXR-CAD software to radiologists in identifying COVID-19 in individuals evaluated for Sars CoV-2 infection in Malawi and Zambia. PLOS Digital Health. 4(1). e0000535–e0000535.

López, Ronald, et al.. (2024). Comparative evaluation of lateral flow assays to diagnose chronic Trypanosoma cruzi infection in Bolivia. PLoS neglected tropical diseases. 18(3). e0012016–e0012016. 2 indexed citations

Saillard, Charlie, Rémy Dubois, Nicolas Loiseau, et al.. (2023). Validation of MSIntuit as an AI-based pre-screening tool for MSI detection from colorectal cancer histology slides. Nature Communications. 14(1). 6695–6695. 51 indexed citations

Garberis, Ingrid, Charlie Saillard, Damien Drubay, et al.. (2021). 1124O Prediction of distant relapse in patients with invasive breast cancer from deep learning models applied to digital pathology slides. Annals of Oncology. 32. S921–S921. 3 indexed citations

Saillard, Charlie, Benoît Schmauch, Magali Svrcek, et al.. (2021). Identification of pancreatic adenocarcinoma molecular subtypes on histology slides using deep learning models.. Journal of Clinical Oncology. 39(15_suppl). 4141–4141.

Schmauch, Benoît, Alberto Romagnoni, Elodie Pronier, et al.. (2020). A deep learning model to predict RNA-Seq expression of tumours from whole slide images. Nature Communications. 11(1). 3877–3877. 282 indexed citations breakdown →

Branzoli, Francesca, Clément Pontoizeau, Anna Luisa Di Stefano, et al.. (2019). Cystathionine as a marker for 1p/19q codeleted gliomas by in vivo magnetic resonance spectroscopy. Neuro-Oncology. 21(6). 765–774. 52 indexed citations

Appay, Romain, Caroline Dehais, Carole Colin, et al.. (2019). PL1.1 CDKN2A homozygous deletion is a strong adverse prognosis factor in diffuse malignant IDHmutant gliomas. Neuro-Oncology. 21(Supplement_3). iii1–iii1. 86 indexed citations

Appay, Romain, Caroline Dehais, Claude‐Alain Maurage, et al.. (2019). CDKN2A homozygous deletion is a strong adverse prognosis factor in diffuse malignant IDH-mutant gliomas. Neuro-Oncology. 21(12). 1519–1528. 176 indexed citations

10.

Tonon, Laurie, Gaëlle Fromont, Sandrine Boyault, et al.. (2018). Mutational Profile of Aggressive, Localised Prostate Cancer from African Caribbean Men Versus European Ancestry Men. European Urology. 75(1). 11–15. 28 indexed citations

11.

Rosenberg, Shai, François Ducray, Agustí Alentorn, et al.. (2018). Machine Learning for Better Prognostic Stratification and Driver Gene Identification Using Somatic Copy Number Variations in Anaplastic Oligodendroglioma. The Oncologist. 23(12). 1500–1510. 6 indexed citations

12.

Kamoun, Aurélie, Géraldine Cancel‐Tassin, Gaëlle Fromont, et al.. (2018). Comprehensive molecular classification of localized prostate adenocarcinoma reveals a tumour subtype predictive of non-aggressive disease. Annals of Oncology. 29(8). 1814–1821. 33 indexed citations

13.

Biton, Anne, Isabelle Bernard‐Pierrot, Yinjun Lou, et al.. (2014). Independent Component Analysis Uncovers the Landscape of the Bladder Tumor Transcriptome and Reveals Insights into Luminal and Basal Subtypes. Cell Reports. 9(4). 1235–1245. 117 indexed citations

14.

Ashoor, Haitham, Aurélie Hérault, Aurélie Kamoun, et al.. (2013). HMCan: a method for detecting chromatin modifications in cancer samples using ChIP-seq data. Bioinformatics. 29(23). 2979–2986. 27 indexed citations

15.

Behi, Mohamed El, Sophie Krumeich, Catalina Lodillinsky, et al.. (2013). An essential role for decorin in bladder cancer invasiveness. EMBO Molecular Medicine. 5(12). 1835–1851. 38 indexed citations

16.

Kamoun, Aurélie, Gaston Godeau, J. Wallach, et al.. (1995). Growth Stimulation of Human Skin Fibroblasts by Elastin-Derived Peptides. Cell adhesion and communications/Cell adhesion and communication/Cell adhesion & communication. 3(4). 273–281. 84 indexed citations

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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