Niek Dekker

6.0k citations
71 papers · 4.4k indexed · 1 hit paper · h-index 35
Topics
Bacterial Genetics and Biotechnology (21 papers)Extracellular vesicles in disease (14 papers)RNA and protein synthesis mechanisms (13 papers)

In The Last Decade

Niek Dekker

70 papers receiving 4.4k citations

Hit Papers

Thermofluor-based high-throughput stability optimization ...20062026201220192006200400600

Peers

Niek Dekker
Comparison fields: 5 of 133
  • Molecular Biology 3.4k
  • Genetics 868
  • Cancer Research 468
  • Materials Chemistry 311
  • Biomedical Engineering 286
Replace Xuejun C. Zhang with:
Xuejun C. Zhang China
Lin Guo China
Kyeong Kyu Kim South Korea
Markus F. Templin Germany
Savvas N. Savvides Belgium
Ulrich Baumann Germany
Hanno Langen Switzerland
Thomas Grundström Sweden
Joel G. Belasco United States
Matthias Trost United Kingdom
Niek Dekker relative to Xuejun C. Zhang China Xuejun C. Zhang's profile →
Citations per field
00.5×3.3×
Xuejun C. Zhang · 1×
Citations per year

Countries citing papers authored by Niek Dekker

Since Specialization
Citations

This map shows the geographic impact of Niek 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 Niek Dekker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Niek Dekker more than expected).

Fields of papers citing papers by Niek Dekker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Niek 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 Niek Dekker. The network helps show where Niek Dekker may publish in the future.

Co-authorship network of co-authors of Niek Dekker

This figure shows the co-authorship network connecting the top 25 collaborators of Niek Dekker. A scholar is included among the top collaborators of Niek Dekker based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Niek Dekker. Niek Dekker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 46
3 4
4 148
5 29
6 144
7 37
8 28
9 9
10
Thermofluor based high throughput stability optimisation of proteins for structural and functional studies
5
11 5
12 64
13 39
14 12
15 31
16 56
17 4
18 184
19 68
20 56

About Niek Dekker

Niek Dekker is a scholar working on Molecular Biology, Genetics and Molecular Medicine, having authored 71 papers that have together received 4.4k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (21 papers), Extracellular vesicles in disease (14 papers) and RNA and protein synthesis mechanisms (13 papers). The work is most often cited by research in Endocrinology (259 citations), Molecular Medicine (251 citations) and Molecular Biology (3.4k citations). Niek Dekker has collaborated with scholars based in Netherlands, Sweden and United Kingdom. Frequent co-authors include Maarten R. Egmond, George T. DeTitta, B.M. Hallberg, U.B. Ericsson, P. Nordlund, Reinhard Krämer, Hubertus M. Verheij, Arjan Snijder, H.M. Verheij and Jan Tommassen. Their work appears in journals such as Nature, Journal of Biological Chemistry and Nature Communications.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026