Roeliene C. Kruizinga
Impact in
- Oncology top 5%
- Chemokine receptors and signaling
- Cancer Cells and Metastasis
- Immunology top 10%
- Immunotherapy and Immune Responses
- Immune cells in cancer
Papers in
- Oncology 5
- Chemokine receptors and signaling 4
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- Immunotherapy and Immune Responses 3
- Immune cells in cancer 2
- Co-authors
- Annemiek Walenkamp (8 shared papers)Elisabeth G.E. de Vries (6 shared papers)Hetty Timmer‐Bosscha (4 shared papers)Urszula Domańska (3 shared papers)Wouter B. Nagengast (2 shared papers)Gerwin Huls (1 shared paper)Jeanine M. Van Ancum (4 shared papers)Andrea B. Maier (4 shared papers)
- Journals
- Familial Cancer (2 papers)European Journal of Cancer (1 paper)Experimental Gerontology (1 paper)BMC Geriatrics (1 paper)Pediatric Blood & Cancer (1 paper)
- Partner nations
- NetherlandsAustraliaGermany
In The Last Decade
Roeliene C. Kruizinga
14 papers receiving 1.1k citations
Roeliene C. Kruizinga's Hit Papers
Peers
Comparison fields: 5 of 91
- Oncology 522
- Immunology 279
- Geriatrics and Gerontology 38
- Cancer Research 159
- Physiology 158
Countries citing papers authored by Roeliene C. Kruizinga
This map shows the geographic impact of Roeliene C. Kruizinga'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 Roeliene C. Kruizinga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roeliene C. Kruizinga more than expected).
Fields of papers citing papers by Roeliene C. Kruizinga
This network shows the impact of papers produced by Roeliene C. Kruizinga. 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 Roeliene C. Kruizinga. The network helps show where Roeliene C. Kruizinga may publish in the future.
Co-authors
The 25 scholars most cited alongside Roeliene C. Kruizinga, 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 | A review on CXCR4/CXCL12 axis in oncology: No place to hide Hit paper breakdown → | 2012 | 519 |
| 2 | 2012 | 157 | |
| 3 | 2017 | 85 | |
| 4 | 2017 | 66 | |
| 5 | 2009 | 50 | |
| 6 | 2019 | 44 | |
| 7 | 2013 | 38 | |
| 8 | 2012 | 36 | |
| 9 | 2017 | 31 | |
| 10 | 2010 | 30 | |
| 11 | 1990 | 17 | |
| 12 | 2019 | 14 | |
| 13 | 2016 | 12 | |
| 14 | 2010 | 8 |
About Roeliene C. Kruizinga
Roeliene C. Kruizinga is a scholar working on Oncology, Immunology, Cancer Research, Molecular Biology and Hematology, having authored 14 papers that have together received 1.1k indexed citations. Recurring topics across this work include Chemokine receptors and signaling (4 papers), Cancer, Hypoxia, and Metabolism (4 papers), Immunotherapy and Immune Responses (3 papers), Nutrition and Health in Aging (3 papers), Acute Myeloid Leukemia Research (2 papers), Immune cells in cancer (2 papers), Angiogenesis and VEGF in Cancer (1 paper) and Prostate Cancer Treatment and Research (1 paper). The work is most often cited by research in Oncology (522 citations), Immunology (279 citations), Geriatrics and Gerontology (38 citations), Cancer Research (159 citations) and Physiology (158 citations). Roeliene C. Kruizinga has collaborated with scholars based in Netherlands, Australia and Germany. Frequent co-authors include Annemiek Walenkamp, Elisabeth G.E. de Vries, Hetty Timmer‐Bosscha, Urszula Domańska, Wouter B. Nagengast, Gerwin Huls, Jeanine M. Van Ancum, Andrea B. Maier, Kira Scheerman and Carel G. M. Meskers. Their work appears in journals such as Familial Cancer, European Journal of Cancer, Experimental Gerontology, BMC Geriatrics and Pediatric Blood & Cancer.
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.