Damien Arnol
Impact in
- Biophysics top 2%
- Cell Image Analysis Techniques
- Molecular Biology top 10%
- Single-cell and spatial transcriptomics
- Bioinformatics and Genomic Networks
- Gene expression and cancer classification
- Gene Regulatory Network Analysis
- Metabolomics and Mass Spectrometry Studies
- Epigenetics and DNA Methylation
Papers in
-
- Gene expression and cancer classification 2
- Single-cell and spatial transcriptomics 2
- CRISPR and Genetic Engineering 1
- Gene Regulatory Network Analysis 1
- Metabolomics and Mass Spectrometry Studies 1
- Microbial Metabolic Engineering and Bioproduction 1
- Co-authors
- Oliver Stegle (5 shared papers)Ricard Argelaguet (3 shared papers)Britta Velten (3 shared papers)John C. Marioni (2 shared papers)Thorsten Zenz (1 shared paper)Sascha Dietrich (1 shared paper)Florian Buettner (1 shared paper)Wolfgang K. Huber (1 shared paper)
- Journals
- Genome biology (2 papers)Journal of Chemical Theory and Computation (1 paper)Cell Reports (1 paper)Nature Methods (1 paper)Molecular Systems Biology (1 paper)
- Partner nations
- United KingdomGermanySwitzerland
In The Last Decade
Damien Arnol
6 papers receiving 1.8k citations
Damien Arnol's Hit Papers
Peers
Comparison fields: 5 of 112
- Biophysics 156
- Molecular Biology 1.2k
- Cancer Research 202
- Aging 15
- Immunology 120
Countries citing papers authored by Damien Arnol
This map shows the geographic impact of Damien Arnol'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 Damien Arnol with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Damien Arnol more than expected).
Fields of papers citing papers by Damien Arnol
This network shows the impact of papers produced by Damien Arnol. 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 Damien Arnol. The network helps show where Damien Arnol may publish in the future.
Co-authors
The 25 scholars most cited alongside Damien Arnol, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Multi‐Omics Factor Analysis—a framework for unsupervised integration of multi‐omics data sets Hit paper breakdown → | 2018 | 892 |
| 2 | MOFA+: a statistical framework for comprehensive integration of multi-modal single-cell data Hit paper breakdown → | 2020 | 592 |
| 3 | 2019 | 162 | |
| 4 | 2022 | 108 | |
| 5 | 2019 | 36 | |
| 6 | 2016 | 11 |
About Damien Arnol
Damien Arnol is a scholar working on Molecular Biology, Biophysics, General Agricultural and Biological Sciences, Cellular and Molecular Neuroscience and Genetics, having authored 6 papers that have together received 1.8k indexed citations. Recurring topics across this work include Gene expression and cancer classification (2 papers), Single-cell and spatial transcriptomics (2 papers), CRISPR and Genetic Engineering (1 paper), Genetic and phenotypic traits in livestock (1 paper), Rural development and sustainability (1 paper), Gene Regulatory Network Analysis (1 paper), Metabolomics and Mass Spectrometry Studies (1 paper) and Microbial Metabolic Engineering and Bioproduction (1 paper). The work is most often cited by research in Biophysics (156 citations), Molecular Biology (1.2k citations), Cancer Research (202 citations), Aging (15 citations) and Immunology (120 citations). Damien Arnol has collaborated with scholars based in United Kingdom, Germany and Switzerland. Frequent co-authors include Oliver Stegle, Ricard Argelaguet, Britta Velten, John C. Marioni, Thorsten Zenz, Sascha Dietrich, Florian Buettner, Wolfgang K. Huber, Danila Bredikhin and Bernd Bodenmiller. Their work appears in journals such as Genome biology, Journal of Chemical Theory and Computation, Cell Reports, Nature Methods and Molecular Systems Biology.
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.