F.J. Verbaan

624 total citations
8 papers, 518 citations indexed

About

F.J. Verbaan is a scholar working on Molecular Biology, Genetics and Pharmaceutical Science. According to data from OpenAlex, F.J. Verbaan has authored 8 papers receiving a total of 518 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Genetics and 1 paper in Pharmaceutical Science. Recurrent topics in F.J. Verbaan's work include RNA Interference and Gene Delivery (7 papers), Virus-based gene therapy research (5 papers) and Advanced biosensing and bioanalysis techniques (4 papers). F.J. Verbaan is often cited by papers focused on RNA Interference and Gene Delivery (7 papers), Virus-based gene therapy research (5 papers) and Advanced biosensing and bioanalysis techniques (4 papers). F.J. Verbaan collaborates with scholars based in Netherlands and Japan. F.J. Verbaan's co-authors include Wim E. Hennink, G. Storm, Daan J.A. Crommelin, Cor J. Snel, Christien Oussoren, Jan Hein van Steenis, Mitsuru Hashida, Raymond M. Schiffelers, R. Verrijk and Gert Storm and has published in prestigious journals such as Journal of Controlled Release, International Journal of Pharmaceutics and European Journal of Pharmaceutical Sciences.

In The Last Decade

F.J. Verbaan

8 papers receiving 509 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
F.J. Verbaan Netherlands 8 417 139 116 73 57 8 518
Srikanth Sriadibhatla United States 6 323 0.8× 96 0.7× 109 0.9× 67 0.9× 42 0.7× 6 423
Budiao Zhao China 6 636 1.5× 158 1.1× 111 1.0× 86 1.2× 29 0.5× 7 707
Kyosuke Yamauchi Japan 4 308 0.7× 100 0.7× 100 0.9× 51 0.7× 57 1.0× 4 405
Xu-Li Wang United States 11 545 1.3× 140 1.0× 122 1.1× 117 1.6× 44 0.8× 11 689
Daniel Edinger Germany 13 723 1.7× 163 1.2× 193 1.7× 93 1.3× 53 0.9× 15 831
Martin Piest Netherlands 9 324 0.8× 97 0.7× 122 1.1× 78 1.1× 62 1.1× 12 478
Tanja Buś Germany 11 394 0.9× 71 0.5× 180 1.6× 106 1.5× 87 1.5× 12 598
Christophe Masson France 8 262 0.6× 86 0.6× 95 0.8× 59 0.8× 57 1.0× 12 406
Lara Cutlar Ireland 9 495 1.2× 181 1.3× 211 1.8× 119 1.6× 62 1.1× 9 701
Muri Han Japan 8 399 1.0× 81 0.6× 203 1.8× 142 1.9× 50 0.9× 9 562

Countries citing papers authored by F.J. Verbaan

Since Specialization
Citations

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

Fields of papers citing papers by F.J. Verbaan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by F.J. Verbaan. 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 F.J. Verbaan. The network helps show where F.J. Verbaan may publish in the future.

Co-authorship network of co-authors of F.J. Verbaan

This figure shows the co-authorship network connecting the top 25 collaborators of F.J. Verbaan. A scholar is included among the top collaborators of F.J. Verbaan 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 F.J. Verbaan. F.J. Verbaan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Snel, Cor J., et al.. (2006). Effect of cationic carriers on the pharmacokinetics and tumor localization of nucleic acids after intravenous administration. International Journal of Pharmaceutics. 331(2). 167–175. 89 indexed citations
2.
Verbaan, F.J., Peter Klein Klouwenberg, Jan Hein van Steenis, et al.. (2005). Application of poly(2-(dimethylamino)ethyl methacrylate)-based polyplexes for gene transfer into human ovarian carcinoma cells. International Journal of Pharmaceutics. 304(1-2). 185–192. 51 indexed citations
3.
Verbaan, F.J., Christien Oussoren, Cor J. Snel, et al.. (2004). Steric stabilization of poly(2‐(dimethylamino)ethyl methacrylate)‐based polyplexes mediates prolonged circulation and tumor targeting in mice. The Journal of Gene Medicine. 6(1). 64–75. 128 indexed citations
4.
Verbaan, F.J., et al.. (2004). Measuring the insertion of microfabricated microneedles into skin with a penetration sensor. University of Twente Research Information. 497–499. 12 indexed citations
5.
Verbaan, F.J., et al.. (2004). A comparative study of different cationic transfection agents for in vivo gene delivery after intravenous administration. Journal of Drug Delivery Science and Technology. 14(2). 105–111. 20 indexed citations
6.
Steenis, Jan Hein van, Erik M. van Maarseveen, F.J. Verbaan, et al.. (2003). Preparation and characterization of folate-targeted pEG-coated pDMAEMA-based polyplexes. Journal of Controlled Release. 87(1-3). 167–176. 95 indexed citations
7.
Verbaan, F.J., et al.. (2003). Intravenous fate of poly(2-(dimethylamino)ethyl methacrylate)-based polyplexes. European Journal of Pharmaceutical Sciences. 20(4-5). 419–427. 44 indexed citations
8.
Verbaan, F.J., Christien Oussoren, Y Takakura, et al.. (2001). The fate of poly(2-dimethyl amino ethyl)methacrylate-based polyplexes after intravenous administration. International Journal of Pharmaceutics. 214(1-2). 99–101. 79 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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