Ruben Dries
Impact in
- Biophysics top 0.5%
- Cell Image Analysis Techniques
- Molecular Biology top 5%
- Single-cell and spatial transcriptomics
- Gene expression and cancer classification
- Molecular Biology Techniques and Applications
- RNA Research and Splicing
- Gene Regulatory Network Analysis
Papers in
-
- Single-cell and spatial transcriptomics 10
- Gene expression and cancer classification 3
- Protein Degradation and Inhibitors 3
- Pluripotent Stem Cells Research 3
- Epigenetics and DNA Methylation 2
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- Cell Image Analysis Techniques 3
- Co-authors
- Guo‐Cheng Yuan (9 shared papers)Long Cai (3 shared papers)Qian Zhu (3 shared papers)Chee-Huat Linus Eng (2 shared papers)Christopher J. Cronin (1 shared paper)Noushin Koulena (1 shared paper)Yodai Takei (1 shared paper)Jina Yun (1 shared paper)
- Journals
- Nature Communications (2 papers)Cell Reports (2 papers)Genome biology (2 papers)Cancer Research (2 papers)Nature (2 papers)
- Partner nations
- United StatesNetherlandsBelgium
In The Last Decade
Ruben Dries
25 papers receiving 2.6k citations
Ruben Dries's Hit Papers
Peers
Comparison fields: 5 of 105
- Biophysics 393
- Molecular Biology 2.2k
- Cancer Research 299
- Immunology 364
- Neurology 99
Countries citing papers authored by Ruben Dries
This map shows the geographic impact of Ruben Dries'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 Ruben Dries with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruben Dries more than expected).
Fields of papers citing papers by Ruben Dries
This network shows the impact of papers produced by Ruben Dries. 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 Ruben Dries. The network helps show where Ruben Dries may publish in the future.
Co-authors
The 25 scholars most cited alongside Ruben Dries, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Transcriptome-scale super-resolved imaging in tissues by RNA seqFISH+ Hit paper breakdown → | 2019 | 1160 |
| 2 | Giotto: a toolbox for integrative analysis and visualization of spatial expression data Hit paper breakdown → | 2021 | 551 |
| 3 | 2019 | 184 | |
| 4 | 2018 | 155 | |
| 5 | 2021 | 141 | |
| 6 | 2021 | 98 | |
| 7 | 2019 | 74 | |
| 8 | 2018 | 42 | |
| 9 | 2016 | 42 | |
| 10 | 2019 | 30 | |
| 11 | 2015 | 24 | |
| 12 | 2022 | 23 | |
| 13 | 2022 | 12 | |
| 14 | 2021 | 10 | |
| 15 | 2022 | 9 | |
| 16 | 2022 | 8 | |
| 17 | 2020 | 6 | |
| 18 | 2024 | 5 | |
| 19 | 2024 | 4 | |
| 20 | 2019 | 4 |
About Ruben Dries
Ruben Dries is a scholar working on Molecular Biology, Biophysics, Neurology, Pulmonary and Respiratory Medicine and Genetics, having authored 25 papers that have together received 2.6k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (10 papers), Gene expression and cancer classification (3 papers), Protein Degradation and Inhibitors (3 papers), Pluripotent Stem Cells Research (3 papers), Neuroblastoma Research and Treatments (3 papers), Cell Image Analysis Techniques (3 papers), Epigenetics and DNA Methylation (2 papers) and Neonatal Respiratory Health Research (2 papers). The work is most often cited by research in Biophysics (393 citations), Molecular Biology (2.2k citations), Cancer Research (299 citations), Immunology (364 citations) and Neurology (99 citations). Ruben Dries has collaborated with scholars based in United States, Netherlands and Belgium. Frequent co-authors include Guo‐Cheng Yuan, Long Cai, Qian Zhu, Chee-Huat Linus Eng, Christopher J. Cronin, Noushin Koulena, Yodai Takei, Jina Yun, Michael J. Lawson and Rani E. George. Their work appears in journals such as Nature Communications, Cell Reports, Genome biology, Cancer Research and Nature.
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.