Ruben Boon
Impact in
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
Papers in
-
- Epigenetics and DNA Methylation 8
- Pluripotent Stem Cells Research 6
- CRISPR and Genetic Engineering 3
- Renal and related cancers 2
- Mitochondrial Function and Pathology 2
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- Liver physiology and pathology 6
- Co-authors
- Catherine M. Verfaillie (19 shared papers)Sarah‐Maria Fendt (4 shared papers)Dorien Broekaert (3 shared papers)Ilaria Elia (2 shared papers)Stefan Christen (2 shared papers)Martin F. Orth (1 shared paper)Enrico Radaelli (1 shared paper)Thomas G. P. Grünewald (1 shared paper)
- Journals
- The EMBO Journal (2 papers)Stem Cell Reports (2 papers)Stem Cells (1 paper)Alzheimer s & Dementia (1 paper)Journal of Hepatology (1 paper)
- Partner nations
- BelgiumUnited StatesSpain
In The Last Decade
Ruben Boon
22 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 84
- Cancer Research 444
- Developmental Neuroscience 112
- Hepatology 187
- Molecular Biology 863
- Neurology 85
Countries citing papers authored by Ruben Boon
This map shows the geographic impact of Ruben Boon'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 Boon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruben Boon more than expected).
Fields of papers citing papers by Ruben Boon
This network shows the impact of papers produced by Ruben Boon. 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 Boon. The network helps show where Ruben Boon may publish in the future.
Co-authors
The 25 scholars most cited alongside Ruben Boon, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 293 | |
| 2 | 2019 | 224 | |
| 3 | 2018 | 172 | |
| 4 | 2016 | 149 | |
| 5 | 2020 | 83 | |
| 6 | 2018 | 78 | |
| 7 | 2021 | 71 | |
| 8 | 2018 | 65 | |
| 9 | 2015 | 58 | |
| 10 | 2016 | 52 | |
| 11 | 2015 | 42 | |
| 12 | 2021 | 29 | |
| 13 | 2021 | 26 | |
| 14 | 2021 | 23 | |
| 15 | 2016 | 14 | |
| 16 | 2021 | 10 | |
| 17 | 2023 | 6 | |
| 18 | 2023 | 5 | |
| 19 | 2024 | 4 | |
| 20 | 2022 | 4 |
About Ruben Boon
Ruben Boon is a scholar working on Molecular Biology, Hepatology, Cancer Research, Surgery and Genetics, having authored 23 papers that have together received 1.4k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (8 papers), Liver physiology and pathology (6 papers), Pluripotent Stem Cells Research (6 papers), Cancer, Hypoxia, and Metabolism (4 papers), CRISPR and Genetic Engineering (3 papers), Renal and related cancers (2 papers), Liver Disease Diagnosis and Treatment (2 papers) and Mitochondrial Function and Pathology (2 papers). The work is most often cited by research in Cancer Research (444 citations), Developmental Neuroscience (112 citations), Hepatology (187 citations), Molecular Biology (863 citations) and Neurology (85 citations). Ruben Boon has collaborated with scholars based in Belgium, United States and Spain. Frequent co-authors include Catherine M. Verfaillie, Sarah‐Maria Fendt, Dorien Broekaert, Ilaria Elia, Stefan Christen, Martin F. Orth, Enrico Radaelli, Thomas G. P. Grünewald, Raúl Mostoslavsky and Giórgia Gobbi da Silveira. Their work appears in journals such as The EMBO Journal, Stem Cell Reports, Stem Cells, Alzheimer s & Dementia and Journal of Hepatology.
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.