Guus van Dalum
Impact in
- Cancer Research top 2%
- Cancer Genomics and Diagnostics
- Oncology top 2%
- Cancer Cells and Metastasis
- Pancreatic and Hepatic Oncology Research
Papers in
- Oncology 23
- Cancer Cells and Metastasis 23
- Pancreatic and Hepatic Oncology Research 3
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- Cancer Genomics and Diagnostics 14
- Co-authors
- Leon W.M.M. Terstappen (19 shared papers)Kiki Andree (3 shared papers)Frank Coumans (4 shared papers)Markus Beck (3 shared papers)Sanne de Wit (6 shared papers)Arjan G.J. Tibbe (5 shared papers)Leonie L. Zeune (5 shared papers)Harry J.M. Groen (4 shared papers)
- Journals
- Cancer Research (4 papers)PLoS ONE (3 papers)Molecular Oncology (2 papers)International Journal of Oncology (2 papers)Cancers (2 papers)
- Partner nations
- NetherlandsGermanyUnited Kingdom
In The Last Decade
Guus van Dalum
27 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 89
- Cancer Research 747
- Oncology 1.0k
- Biomedical Engineering 550
- Biophysics 56
- Pulmonary and Respiratory Medicine 234
Countries citing papers authored by Guus van Dalum
This map shows the geographic impact of Guus van Dalum'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 Guus van Dalum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guus van Dalum more than expected).
Fields of papers citing papers by Guus van Dalum
This network shows the impact of papers produced by Guus van Dalum. 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 Guus van Dalum. The network helps show where Guus van Dalum may publish in the future.
Co-authors
The 25 scholars most cited alongside Guus van Dalum, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 279 | |
| 2 | 2015 | 221 | |
| 3 | 2019 | 217 | |
| 4 | 2013 | 162 | |
| 5 | 2015 | 94 | |
| 6 | 2016 | 94 | |
| 7 | 2013 | 85 | |
| 8 | 2020 | 67 | |
| 9 | 2014 | 64 | |
| 10 | 2018 | 57 | |
| 11 | 2015 | 55 | |
| 12 | 2018 | 54 | |
| 13 | 2014 | 54 | |
| 14 | 2019 | 52 | |
| 15 | 2018 | 35 | |
| 16 | 2017 | 33 | |
| 17 | 2020 | 20 | |
| 18 | 2020 | 16 | |
| 19 | 2020 | 13 | |
| 20 | 2019 | 11 |
About Guus van Dalum
Guus van Dalum is a scholar working on Oncology, Cancer Research, Biomedical Engineering, Pulmonary and Respiratory Medicine and Molecular Biology, having authored 27 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (23 papers), Cancer Genomics and Diagnostics (14 papers), Microfluidic and Bio-sensing Technologies (7 papers), 3D Printing in Biomedical Research (6 papers), Pancreatic and Hepatic Oncology Research (3 papers), Microfluidic and Capillary Electrophoresis Applications (3 papers), Prostate Cancer Treatment and Research (2 papers) and Single-cell and spatial transcriptomics (2 papers). The work is most often cited by research in Cancer Research (747 citations), Oncology (1.0k citations), Biomedical Engineering (550 citations), Biophysics (56 citations) and Pulmonary and Respiratory Medicine (234 citations). Guus van Dalum has collaborated with scholars based in Netherlands, Germany and United Kingdom. Frequent co-authors include Leon W.M.M. Terstappen, Kiki Andree, Frank Coumans, Markus Beck, Sanne de Wit, Arjan G.J. Tibbe, Leonie L. Zeune, Harry J.M. Groen, T. Jeroen N. Hiltermann and Joost F. Swennenhuis. Their work appears in journals such as Cancer Research, PLoS ONE, Molecular Oncology, International Journal of Oncology and Cancers.
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.