Nick Dekker
Impact in
- Physiology top 5%
- Lysosomal Storage Disorders Research
- Cell Biology top 5%
- Cellular transport and secretion
Papers in
-
- Sphingolipid Metabolism and Signaling 5
- Fungal and yeast genetics research 5
-
- Lysosomal Storage Disorders Research 9
- Co-authors
- Johannes M. F. G. Aerts (11 shared papers)Herman S. Overkleeft (6 shared papers)Dave Speijer (4 shared papers)Frans Hochstenbach (5 shared papers)Carla E. M. Hollak (4 shared papers)Rolf G. Boot (5 shared papers)María Pía Ferraz (4 shared papers)Mariëlle J. van Breemen (3 shared papers)
- Journals
- Blood Cells Molecules and Diseases (3 papers)FEBS Letters (2 papers)Yeast (1 paper)Blood (1 paper)Journal of Inherited Metabolic Disease (1 paper)
- Partner nations
- NetherlandsUnited KingdomGreece
In The Last Decade
Nick Dekker
21 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 94
- Physiology 683
- Cell Biology 338
- Physiology 39
- Molecular Biology 557
- Epidemiology 279
Countries citing papers authored by Nick Dekker
This map shows the geographic impact of Nick Dekker'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 Nick Dekker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nick Dekker more than expected).
Fields of papers citing papers by Nick Dekker
This network shows the impact of papers produced by Nick Dekker. 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 Nick Dekker. The network helps show where Nick Dekker may publish in the future.
Co-authors
The 25 scholars most cited alongside Nick Dekker, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 216 | |
| 2 | 2010 | 114 | |
| 3 | 2004 | 105 | |
| 4 | 2012 | 103 | |
| 5 | 2011 | 89 | |
| 6 | 2012 | 83 | |
| 7 | 2015 | 57 | |
| 8 | 2014 | 54 | |
| 9 | 2011 | 52 | |
| 10 | 2010 | 43 | |
| 11 | 2007 | 24 | |
| 12 | 2006 | 24 | |
| 13 | 2014 | 21 | |
| 14 | 1995 | 21 | |
| 15 | 2007 | 20 | |
| 16 | T-Scan: a new tool for analyzing Dutch text | 2014 | 18 |
| 17 | 2021 | 18 | |
| 18 | 2015 | 17 | |
| 19 | 2015 | 16 | |
| 20 | 2006 | 12 |
About Nick Dekker
Nick Dekker is a scholar working on Molecular Biology, Physiology, Organic Chemistry, Cell Biology and Plant Science, having authored 21 papers that have together received 1.1k indexed citations. Recurring topics across this work include Lysosomal Storage Disorders Research (9 papers), Sphingolipid Metabolism and Signaling (5 papers), Biofuel production and bioconversion (5 papers), Carbohydrate Chemistry and Synthesis (5 papers), Fungal and yeast genetics research (5 papers), Polysaccharides and Plant Cell Walls (5 papers), Cellular transport and secretion (4 papers) and Natural Language Processing Techniques (2 papers). The work is most often cited by research in Physiology (683 citations), Cell Biology (338 citations), Physiology (39 citations), Molecular Biology (557 citations) and Epidemiology (279 citations). Nick Dekker has collaborated with scholars based in Netherlands, United Kingdom and Greece. Frequent co-authors include Johannes M. F. G. Aerts, Herman S. Overkleeft, Dave Speijer, Frans Hochstenbach, Carla E. M. Hollak, Rolf G. Boot, María Pía Ferraz, Mariëlle J. van Breemen, J.E.M. Groener and Gabor E. Linthorst. Their work appears in journals such as Blood Cells Molecules and Diseases, FEBS Letters, Yeast, Blood and Journal of Inherited Metabolic Disease.
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.