Kees Fluiter
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in ⓘ
-
- MicroRNA in disease regulation 9
- Co-authors
- Frank Baas (24 shared papers)Theo J.C. van Berkel (9 shared papers)Eleonora Aronica (5 shared papers)Anand M. Iyer (4 shared papers)Emanuele Zurolo (4 shared papers)Jan A. Gorter (3 shared papers)Olaf R.F. Mook (6 shared papers)Jeroen Vreijling (11 shared papers)
- Journals
- Biochemical Journal (4 papers)Journal of Biological Chemistry (3 papers)Human Molecular Genetics (2 papers)Epilepsia (2 papers)Molecular Immunology (2 papers)
- Partner nations
- NetherlandsUnited StatesUnited Kingdom
In The Last Decade
Kees Fluiter
52 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 100
- Cancer Research 747
- Neurology 246
- Molecular Biology 1.6k
- Developmental Neuroscience 68
- Immunology 334
Countries citing papers authored by Kees Fluiter
This map shows the geographic impact of Kees Fluiter'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 Kees Fluiter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kees Fluiter more than expected).
Fields of papers citing papers by Kees Fluiter
This network shows the impact of papers produced by Kees Fluiter. 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 Kees Fluiter. The network helps show where Kees Fluiter may publish in the future.
Co-authors
The 25 scholars most cited alongside Kees Fluiter, 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 269 | |
| 2 | 2010 | 269 | |
| 3 | 2011 | 177 | |
| 4 | 2014 | 146 | |
| 5 | 1998 | 132 | |
| 6 | 2007 | 132 | |
| 7 | 2003 | 121 | |
| 8 | 2014 | 110 | |
| 9 | 2010 | 93 | |
| 10 | 2009 | 92 | |
| 11 | 1999 | 67 | |
| 12 | 1999 | 67 | |
| 13 | 1995 | 64 | |
| 14 | 2005 | 63 | |
| 15 | 2014 | 62 | |
| 16 | 2013 | 51 | |
| 17 | 2008 | 48 | |
| 18 | 2011 | 46 | |
| 19 | 2011 | 45 | |
| 20 | 2013 | 44 |
About Kees Fluiter
Kees Fluiter is a scholar working on Cancer Research, Biochemistry, Immunology, Molecular Biology and Neurology, having authored 53 papers that have together received 2.7k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (14 papers), Advanced biosensing and bioanalysis techniques (12 papers), MicroRNA in disease regulation (9 papers), Complement system in diseases (5 papers), Cholesterol and Lipid Metabolism (5 papers), DNA and Nucleic Acid Chemistry (5 papers), RNA modifications and cancer (4 papers) and RNA Research and Splicing (3 papers). The work is most often cited by research in Cancer Research (747 citations), Neurology (246 citations), Molecular Biology (1.6k citations), Developmental Neuroscience (68 citations) and Immunology (334 citations). Kees Fluiter has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Frank Baas, Theo J.C. van Berkel, Eleonora Aronica, Anand M. Iyer, Emanuele Zurolo, Jan A. Gorter, Olaf R.F. Mook, Jeroen Vreijling, Peter C. van Rijen and Wim G.M. Spliet. Their work appears in journals such as Biochemical Journal, Journal of Biological Chemistry, Human Molecular Genetics, Epilepsia and Molecular Immunology.
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.