Twan van den Beucken
- Molecular Biology top 5%
- Cancer Research top 2%
- Epidemiology top 5%
- Cell Biology top 2%
- Oncology
- Co-authors
- Bradly G. WoutersMarianne KoritzinskyPhilippe LambinKasper M.A. RouschopKim G.M. SavelkoulsJan Willem VonckenMichaël G. MagagninLudwig J. Dubois
- Topics
- Cancer, Hypoxia, and Metabolism (13 papers)RNA modifications and cancer (9 papers)Endoplasmic Reticulum Stress and Disease (8 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Investigation
- Partner nations
- NetherlandsCanadaUnited States
In The Last Decade
Twan van den Beucken
45 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Molecular Biology 1.6k
- Cancer Research 940
- Epidemiology 735
- Cell Biology 681
- Oncology 228
Countries citing papers authored by Twan van den Beucken
This map shows the geographic impact of Twan van den Beucken'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 Twan van den Beucken with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Twan van den Beucken more than expected).
Fields of papers citing papers by Twan van den Beucken
This network shows the impact of papers produced by Twan van den Beucken. 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 Twan van den Beucken. The network helps show where Twan van den Beucken may publish in the future.
Co-authorship network of co-authors of Twan van den Beucken
This figure shows the co-authorship network connecting the top 25 collaborators of Twan van den Beucken. A scholar is included among the top collaborators of Twan van den Beucken 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 Twan van den Beucken. Twan van den Beucken is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 6 | |
| 3 | 20 | |
| 4 | 10 | |
| 5 | 4 | |
| 6 | 3 | |
| 7 | 32 | |
| 8 | 2 | |
| 9 | 20 | |
| 10 | 62 | |
| 11 | Hypoxia promotes stem cell phenotypes and poor prognosis through epigenetic regulation of DICER. : Hypoxia promotes stem cell phenotypes and poor prognosis through epigenetic regulation of DICER. | 1 |
| 12 | 36 | |
| 13 | 185 | |
| 14 | 31 | |
| 15 | 36 | |
| 16 | 20 | |
| 17 | 16 | |
| 18 | 48 | |
| 19 | 113 | |
| 20 | 92 |
About Twan van den Beucken
Twan van den Beucken is a scholar working on Cancer Research, Cell Biology and Physiology, having authored 45 papers that have together received 2.5k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (13 papers), RNA modifications and cancer (9 papers) and Endoplasmic Reticulum Stress and Disease (8 papers). The work is most often cited by research in Cancer Research (940 citations), Cell Biology (681 citations) and Physiology (107 citations). Twan van den Beucken has collaborated with scholars based in Netherlands, Canada and United States. Frequent co-authors include Bradly G. Wouters, Marianne Koritzinsky, Philippe Lambin, Kasper M.A. Rouschop, Kim G.M. Savelkouls, Jan Willem Voncken, Michaël G. Magagnin, Ludwig J. Dubois, Johan Bussink and Albert J. van der Kogel. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.