Audrey Kauffmann

10.5k total citations · 1 hit paper
24 papers, 1.8k citations indexed

About

Audrey Kauffmann is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Audrey Kauffmann has authored 24 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 7 papers in Cancer Research and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Audrey Kauffmann's work include Cancer Genomics and Diagnostics (5 papers), Gene expression and cancer classification (4 papers) and Single-cell and spatial transcriptomics (3 papers). Audrey Kauffmann is often cited by papers focused on Cancer Genomics and Diagnostics (5 papers), Gene expression and cancer classification (4 papers) and Single-cell and spatial transcriptomics (3 papers). Audrey Kauffmann collaborates with scholars based in Switzerland, France and United Kingdom. Audrey Kauffmann's co-authors include Wolfgang Huber, Robert Gentleman, Frédéric Chibon, Pauline Lagarde, Gaëlle Pérot, Philippe Dessen, Alain Aurias, Vladimir Lazar, Véronique Brouste and Jean‐Michel Coindre and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Medicine and Nature Communications.

In The Last Decade

Audrey Kauffmann

22 papers receiving 1.8k 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.

arrayQualityMetrics—a bioconductor package for quality assessment of microarray data

2008 681 citations Audrey Kauffmann, Robert Gentleman et al. Bioinformatics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Audrey Kauffmann Switzerland	14	895	397	360	311	227	24	1.8k
Sami Kilpinen Finland	20	1.4k 1.6×	290 0.7×	386 1.1×	465 1.5×	165 0.7×	39	2.0k
Bárbara Pesce Chile	17	1.2k 1.3×	492 1.2×	527 1.5×	215 0.7×	454 2.0×	37	2.2k
Demetri D. Spyropoulos United States	23	1.1k 1.2×	238 0.6×	226 0.6×	230 0.7×	277 1.2×	52	1.9k
Wencke Walter Germany	16	1.0k 1.1×	305 0.8×	196 0.5×	405 1.3×	394 1.7×	85	2.1k
Hwanseok Rhee South Korea	26	1.0k 1.2×	414 1.0×	464 1.3×	436 1.4×	135 0.6×	50	2.3k
Henry Schaefer United States	10	625 0.7×	439 1.1×	366 1.0×	295 0.9×	309 1.4×	14	1.4k
Carol C. Cheung Canada	24	865 1.0×	324 0.8×	642 1.8×	255 0.8×	265 1.2×	64	2.5k
David A. Alcorta United States	25	1.4k 1.6×	492 1.2×	594 1.6×	240 0.8×	417 1.8×	38	2.6k
Arja ter Elst Netherlands	21	1.1k 1.2×	309 0.8×	495 1.4×	445 1.4×	146 0.6×	61	1.8k

Countries citing papers authored by Audrey Kauffmann

Since Specialization

Citations

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

Fields of papers citing papers by Audrey Kauffmann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Audrey Kauffmann

This figure shows the co-authorship network connecting the top 25 collaborators of Audrey Kauffmann. A scholar is included among the top collaborators of Audrey Kauffmann 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 Audrey Kauffmann. Audrey Kauffmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Dimitrieva, Slavica, et al.. (2025). Biologically relevant integration of transcriptomics profiles from cancer cell lines, patient-derived xenografts, and clinical tumors using deep learning. Science Advances. 11(3). eadn5596–eadn5596. 1 indexed citations

Li, Gang, Giorgio Giacomo Galli, Viviana Cremasco, et al.. (2024). Abstract 896: Predicting metastatic transcriptomes of patient tumors with deep learning. Cancer Research. 84(6_Supplement). 896–896.

Pereira, Bernard, Emma Labrot, Éric Durand, et al.. (2022). Contribution and clinical relevance of germline variation to the cancer transcriptome. BMC Cancer. 22(1). 675–675.

Zhang, Xian, et al.. (2021). Fully unsupervised deep mode of action learning for phenotyping high-content cellular images. Bioinformatics. 37(23). 4548–4555. 13 indexed citations

Ferrero, Enrico, Sophie Brachat, Jeremy L. Jenkins, et al.. (2020). Ten simple rules to power drug discovery with data science. PLoS Computational Biology. 16(8). e1008126–e1008126. 10 indexed citations

Sprouffske, Kathleen, Gráinne Kerr, Anirudh Prahallad, et al.. (2020). Genetic heterogeneity and clonal evolution during metastasis in breast cancer patient-derived tumor xenograft models. Computational and Structural Biotechnology Journal. 18. 323–331. 21 indexed citations

Gaulis, Swann, Rui Lopes, Kathleen Sprouffske, et al.. (2019). PAX8 activates metabolic genes via enhancer elements in Renal Cell Carcinoma. Nature Communications. 10(1). 3739–3739. 43 indexed citations

Weck, Antoine de, Javad Golji, Michael D. Jones, et al.. (2018). Correction of copy number induced false positives in CRISPR screens. PLoS Computational Biology. 14(7). e1006279–e1006279. 12 indexed citations

Wöhrle, Simon, Andreas Weiss, Moriko Ito, et al.. (2013). Fibroblast Growth Factor Receptors as Novel Therapeutic Targets in SNF5-Deleted Malignant Rhabdoid Tumors. PLoS ONE. 8(10). e77652–e77652. 39 indexed citations

10.

Brouste, Véronique, Audrey Kauffmann, Pauline Lagarde, et al.. (2013). Prognostic Value of PLAGL1-Specific CpG Site Methylation in Soft-Tissue Sarcomas. PLoS ONE. 8(11). e80741–e80741. 12 indexed citations

11.

Puyo, Stéphane, Nadine Houédé, Audrey Kauffmann, et al.. (2012). Gene Expression Signature Predicting High-Grade Prostate Cancer Responses to Oxaliplatin. Molecular Pharmacology. 82(6). 1205–1216. 3 indexed citations

12.

Lagarde, Pauline, Gaëlle Pérot, Audrey Kauffmann, et al.. (2011). Mitotic Checkpoints and Chromosome Instability Are Strong Predictors of Clinical Outcome in Gastrointestinal Stromal Tumors. Clinical Cancer Research. 18(3). 826–838. 102 indexed citations

13.

Beisvåg, Vidar, Audrey Kauffmann, James Malone, et al.. (2011). Contributions of the EMERALD project to assessing and improving microarray data quality. BioTechniques. 50(1). 27–31. 9 indexed citations

14.

Chibon, Frédéric, Pauline Lagarde, Sébastien Salas, et al.. (2010). Validated prediction of clinical outcome in sarcomas and multiple types of cancer on the basis of a gene expression signature related to genome complexity. Nature Medicine. 16(7). 781–787. 303 indexed citations

15.

Kauffmann, Audrey & Wolfgang Huber. (2010). Microarray data quality control improves the detection of differentially expressed genes. Genomics. 95(3). 138–142. 68 indexed citations

16.

Puget, Stéphanie, Jacques Grill, Alexander Valent, et al.. (2009). Candidate Genes on Chromosome 9q33-34 Involved in the Progression of Childhood Ependymomas. Journal of Clinical Oncology. 27(11). 1884–1892. 58 indexed citations

17.

Kauffmann, Audrey, Tim F. Rayner, Helen Parkinson, et al.. (2009). Importing ArrayExpress datasets into R/Bioconductor. Bioinformatics. 25(16). 2092–2094. 71 indexed citations

18.

Bénard, Jean, Gilda Raguénez, Audrey Kauffmann, et al.. (2008). MYCN‐non‐amplified metastatic neuroblastoma with good prognosis and spontaneous regression: A molecular portrait of stage 4S. Molecular Oncology. 2(3). 261–271. 50 indexed citations

19.

Kauffmann, Audrey, Robert Gentleman, & Wolfgang Huber. (2008). arrayQualityMetrics—a bioconductor package for quality assessment of microarray data. Bioinformatics. 25(3). 415–416. 681 indexed citations breakdown →

20.

Castedo, Maria, Arnaud Coquelle, Sonia Vivet, et al.. (2006). Apoptosis regulation in tetraploid cancer cells. The EMBO Journal. 25(11). 2584–2595. 159 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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