Mathieu Andreux

9 papers receiving 195 citations

Mathieu Andreux's Hit Papers

PyDESeq2: a python package for bulk RNA-seq differential expression analysis 2023 · 124 citations
1240+1+2Years since publication4080120

Peers

Mathieu Andreux
Comparison fields: 5 of 78
  • Computer Graphics and Computer-Aided Design 10
  • Aging 3
  • Biophysics 9
  • Computational Mechanics 27
  • Computer Vision and Pattern Recognition 26
Replace Alireza Khatamian with:
Alireza Khatamian United States
Carlos Loucera Spain
Song Gu China
Yasutaka Nakanishi Japan
Nora Ruef Switzerland
Morgan Weiss United States
Renying Wang China
Lynn M. Fletcher United States
Sepideh Babaei Germany
Mathieu Andreux relative to Alireza Khatamian United States Alireza Khatamian's profile →
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Countries citing papers authored by Mathieu Andreux

Since Specialization
Citations

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

Fields of papers citing papers by Mathieu Andreux

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mathieu Andreux, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mathieu Andreux Line = papers co-authored together Mathieu Andreux links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1
PyDESeq2: a python package for bulk RNA-seq differential expression analysis
Hit paper breakdown →
2023124
2 201538
3 202214
4 198613
5
Les syndromes myélodysplasiques
20006
6 20183
7 20221
8
[Metastatic cancer in an 82 year old woman: bone marrow infiltration and disseminated intravascular coagulation].
19981
9 19851

About Mathieu Andreux

Mathieu Andreux is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition, Cancer Research, Organic Chemistry and Genetics, having authored 9 papers that have together received 201 indexed citations. Recurring topics across this work include Immune Response and Inflammation (1 paper), Synthesis and Characterization of Heterocyclic Compounds (1 paper), MRI in cancer diagnosis (1 paper), Advanced Causal Inference Techniques (1 paper), Morphological variations and asymmetry (1 paper), Medical Image Segmentation Techniques (1 paper), Hemoglobinopathies and Related Disorders (1 paper) and Music and Audio Processing (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (10 citations), Aging (3 citations), Biophysics (9 citations), Computational Mechanics (27 citations) and Computer Vision and Pattern Recognition (26 citations). Mathieu Andreux has collaborated with scholars based in France and Germany. Frequent co-authors include Maria Teleńczuk, Vincent Cabeli, Boris Muzellec, Emanuele Rodolà, Daniel Cremers, Mathieu Aubry, J P Andreux, P. Smets, Nicolas Loiseau and Paul Trichelair. Their work appears in journals such as Bioinformatics, Journal of Clinical Oncology, BMC Medical Research Methodology, International Journal of Immunopharmacology and Lecture notes in computer science.

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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