Niek Dekker

6.0k total citations · 1 hit paper
71 papers, 4.4k citations indexed

About

Niek Dekker is a scholar working on Molecular Biology, Genetics and Cell Biology. According to data from OpenAlex, Niek Dekker has authored 71 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Molecular Biology, 23 papers in Genetics and 9 papers in Cell Biology. Recurrent topics in Niek Dekker's work include Bacterial Genetics and Biotechnology (21 papers), Extracellular vesicles in disease (14 papers) and RNA and protein synthesis mechanisms (13 papers). Niek Dekker is often cited by papers focused on Bacterial Genetics and Biotechnology (21 papers), Extracellular vesicles in disease (14 papers) and RNA and protein synthesis mechanisms (13 papers). Niek Dekker collaborates with scholars based in Netherlands, Sweden and United Kingdom. Niek Dekker's co-authors include Maarten R. Egmond, B.M. Hallberg, George T. DeTitta, U.B. Ericsson, P. Nordlund, Reinhard Krämer, Hubertus M. Verheij, Arjan Snijder, H.M. Verheij and Jan Tommassen and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Niek Dekker

70 papers receiving 4.4k citations

Hit Papers

Thermofluor-based high-th... 2006 2026 2012 2019 2006 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Niek Dekker Netherlands 35 3.4k 868 468 311 286 71 4.4k
Xuejun C. Zhang China 38 2.5k 0.7× 657 0.8× 243 0.5× 200 0.6× 127 0.4× 108 4.4k
Lin Guo China 29 2.2k 0.7× 458 0.5× 452 1.0× 137 0.4× 146 0.5× 87 3.8k
Markus F. Templin Germany 33 2.2k 0.7× 605 0.7× 235 0.5× 160 0.5× 647 2.3× 92 4.0k
Stefan T. Arold Saudi Arabia 42 3.2k 0.9× 773 0.9× 197 0.4× 287 0.9× 274 1.0× 172 5.8k
Kyeong Kyu Kim South Korea 41 5.8k 1.7× 822 0.9× 185 0.4× 1.0k 3.3× 363 1.3× 229 7.4k
Savvas N. Savvides Belgium 40 2.8k 0.8× 518 0.6× 265 0.6× 229 0.7× 144 0.5× 123 5.3k
Ulrich Baumann Germany 41 3.7k 1.1× 819 0.9× 777 1.7× 669 2.2× 115 0.4× 130 5.8k
Zhao Wang China 29 1.7k 0.5× 523 0.6× 200 0.4× 183 0.6× 179 0.6× 110 3.0k
Matthias Müller Germany 41 3.5k 1.1× 1.4k 1.6× 122 0.3× 320 1.0× 134 0.5× 100 4.7k
Hyun Kyu Song South Korea 44 4.6k 1.4× 519 0.6× 534 1.1× 681 2.2× 270 0.9× 162 6.5k

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
1.
Gomes, Inês B., et al.. (2025). Engineering Hybrid Extracellular Vesicles for Functional mRNA Delivery. Advanced Functional Materials. 36(3). 1 indexed citations
2.
Ardisasmita, Arif Ibrahim, Songpu Xie, Anders Gunnarsson, et al.. (2023). TOP-EVs: Technology of Protein delivery through Extracellular Vesicles is a versatile platform for intracellular protein delivery. Journal of Controlled Release. 355. 579–592. 46 indexed citations
3.
González‐King, Hernán, et al.. (2023). Oncostatin M-Enriched Small Extracellular Vesicles Derived from Mesenchymal Stem Cells Prevent Isoproterenol-Induced Fibrosis and Enhance Angiogenesis. International Journal of Molecular Sciences. 24(7). 6467–6467. 4 indexed citations
4.
Nagelkerke, Anika, Miina Ojansivu, Luke van der Koog, et al.. (2021). Extracellular vesicles for tissue repair and regeneration: Evidence, challenges and opportunities. Advanced Drug Delivery Reviews. 175. 113775–113775. 148 indexed citations
5.
Saleh, Amer F., Elisa Lázaro‐Ibáñez, Olga Shatnyeva, et al.. (2019). Extracellular vesicles induce minimal hepatotoxicity and immunogenicity. Nanoscale. 11(14). 6990–7001. 144 indexed citations
6.
Jamshad, Mohammed, Jack Charlton, Yu-Pin Lin, et al.. (2015). G-protein coupled receptor solubilization and purification for biophysical analysis and functional studies, in the total absence of detergent. Bioscience Reports. 35(2). 140 indexed citations
7.
Xue, Yafeng, et al.. (2013). X‐ray Structural Analysis of Tau‐Tubulin Kinase 1 and Its Interactions with Small Molecular Inhibitors. ChemMedChem. 8(11). 1846–1854. 28 indexed citations
8.
Xia, Rong, et al.. (2011). TRPV1 Signaling: Mechanistic Understanding and Therapeutic Potential. Current Topics in Medicinal Chemistry. 11(17). 2180–2191. 24 indexed citations
9.
Xia, Rong, et al.. (2010). TRPV1: A Therapy Target That Attracts the Pharmaceutical Interests. Advances in experimental medicine and biology. 704. 637–665. 25 indexed citations
10.
Ericsson, U.B., et al.. (2006). Thermofluor based high throughput stability optimisation of proteins for structural and functional studies. 5 indexed citations
11.
Snijder, Arjan, et al.. (2002). Functional importance of calcium binding sites in outer membrane phospholipase A. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1561(2). 230–237. 5 indexed citations
12.
Vandeputte-Rutten, Lucy, Reinhard Krämer, Jan Kroon, et al.. (2001). Crystal structure of the outer membrane protease OmpT from Escherichia coli suggests a novel catalytic site. The EMBO Journal. 20(18). 5033–5039. 201 indexed citations
13.
Krämer, Reinhard, et al.. (2001). Identification of essential acidic residues of outer membrane protease OmpT supports a novel active site. FEBS Letters. 505(3). 426–430. 39 indexed citations
15.
Wiese, Andre, et al.. (2000). Biochemical and biophysical characterization of in vitro folded outer membrane porin PorA of Neisseria meningitidis. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1464(2). 284–298. 56 indexed citations
16.
Ubarretxena‐Belandia, Iban, Ruud C. Cox, Ruud Dijkman, et al.. (1999). Half‐of‐the‐sites reactivity of outer‐membrane phospholipase A against an active‐site‐directed inhibitor. European Journal of Biochemistry. 260(3). 794–800. 4 indexed citations
17.
Dekker, Niek, Jan Tommassen, Ariel Lustig, Jürg P. Rosenbusch, & Hubertus M. Verheij. (1997). Dimerization Regulates the Enzymatic Activity of Escherichia coli Outer Membrane Phospholipase A. Journal of Biological Chemistry. 272(6). 3179–3184. 68 indexed citations
18.
Simons, Jan‐Willem F. A., Hendrik Adams, Ruud C. Cox, et al.. (1996). The Lipase from Staphylococcus aureus. European Journal of Biochemistry. 242(3). 760–769. 76 indexed citations
19.
Dekker, Niek, Karin B. Merck, Jan Tommassen, & Hubertus M. Verheij. (1995). In Vitro Folding of Escherichia Coli Outer‐Membrane Phospholipase A. European Journal of Biochemistry. 232(1). 214–219. 85 indexed citations

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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