Nick Dekker

1.5k citations
21 papers · 1.1k · h-index 18

Impact in

Papers in

    • Fungal and yeast genetics research 5
    • Sphingolipid Metabolism and Signaling 4
    • Lysosomal Storage Disorders Research 9

Nick Dekker

21 papers receiving 1.1k citations

Peers

Nick Dekker
Comparison fields: 5 of 89
  • Physiology 686
  • Cell Biology 295
  • Physiology 35
  • Molecular Biology 510
  • Epidemiology 215
Replace Tama Dinur with:
Tama Dinur Israel
Maria J. Ferraz Netherlands
Valeria De Pasquale Italy
Cristin Davidson United States
Alessandro Magini Italy
Fannie W. Chen United States
P. Durand Italy
Daniel Sevlever United States
J.C. Michalski France
Caroline Norez France
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Citations per field
00.5×3.3×
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Citations per year

Countries citing papers authored by Nick Dekker

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Nick Dekker Line = papers co-authored together Nick Dekker links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011220
2 2010118
3 2004105
4 2012104
5 201189
6 201284
7 201557
8 201456
9 201152
10 201043
11 200724
12 200624
13 201423
14 199521
15 200720
16 202119
17
T-Scan: a new tool for analyzing Dutch text
201418
18 201517
19 201516
20 200612

About Nick Dekker

Nick Dekker is a scholar working on Molecular Biology, Physiology, Cell Biology, Plant Science and Biomedical Engineering, having authored 21 papers that have together received 1.1k indexed citations. Recurring topics across this work include Lysosomal Storage Disorders Research (9 papers), Fungal and yeast genetics research (5 papers), Polysaccharides and Plant Cell Walls (5 papers), Biofuel production and bioconversion (5 papers), Cellular transport and secretion (4 papers), Carbohydrate Chemistry and Synthesis (4 papers), Sphingolipid Metabolism and Signaling (4 papers) and Trypanosoma species research and implications (2 papers). The work is most often cited by research in Physiology (686 citations), Cell Biology (295 citations), Physiology (35 citations), Molecular Biology (510 citations) and Epidemiology (215 citations). Nick Dekker has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Johannes M. F. G. Aerts, Dave Speijer, Carla E. M. Hollak, Frans Hochstenbach, Rolf G. Boot, Herman S. Overkleeft, Mariëlle J. van Breemen, J.E.M. Groener, Gabor E. Linthorst and Annett de Haan. Their work appears in journals such as Blood Cells Molecules and Diseases, FEBS Letters, BMJ Supportive & Palliative Care, Molecular Biology of the Cell and Clinical Chemistry.

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.

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