Wouter P. R. Verdurmen

2.1k total citations · 1 hit paper
50 papers, 1.7k citations indexed

About

Wouter P. R. Verdurmen is a scholar working on Molecular Biology, Biomedical Engineering and Genetics. According to data from OpenAlex, Wouter P. R. Verdurmen has authored 50 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 12 papers in Biomedical Engineering and 7 papers in Genetics. Recurrent topics in Wouter P. R. Verdurmen's work include RNA Interference and Gene Delivery (23 papers), Advanced biosensing and bioanalysis techniques (18 papers) and 3D Printing in Biomedical Research (12 papers). Wouter P. R. Verdurmen is often cited by papers focused on RNA Interference and Gene Delivery (23 papers), Advanced biosensing and bioanalysis techniques (18 papers) and 3D Printing in Biomedical Research (12 papers). Wouter P. R. Verdurmen collaborates with scholars based in Netherlands, United States and Germany. Wouter P. R. Verdurmen's co-authors include Roland Brock, Andreas Plückthun, Petra H. M. Bovée‐Geurts, Anne S. Ulrich, Mattias Hällbrink, Jan C. M. van Hest, Toin H. Van Kuppevelt, Ruud J. R. W. Peters, Roeland J. M. Nolte and Stijn F. M. van Dongen and has published in prestigious journals such as Journal of Biological Chemistry, Angewandte Chemie International Edition and Nature Communications.

In The Last Decade

Wouter P. R. Verdurmen

47 papers receiving 1.6k citations

Hit Papers

The role of fibrosis in endometriosis: a systematic review 2024 2026 2025 2024 10 20 30

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wouter P. R. Verdurmen Netherlands 23 1.2k 300 208 201 198 50 1.7k
Fatemeh Madani Iran 16 1.3k 1.1× 218 0.7× 146 0.7× 174 0.9× 353 1.8× 32 1.7k
Joshua Z. Gasiorowski United States 17 1.0k 0.9× 285 0.9× 180 0.9× 211 1.0× 653 3.3× 29 1.7k
Anders Wittrup Sweden 17 2.4k 2.0× 258 0.9× 355 1.7× 195 1.0× 264 1.3× 22 2.8k
Catherine Yao United States 12 954 0.8× 470 1.6× 121 0.6× 136 0.7× 482 2.4× 18 1.6k
Maria Lindgren Sweden 17 2.0k 1.7× 125 0.4× 241 1.2× 300 1.5× 315 1.6× 31 2.3k
Amir K. Varkouhi Netherlands 12 1.4k 1.2× 498 1.7× 175 0.8× 216 1.1× 592 3.0× 17 2.0k
Edward J. Sayers United Kingdom 15 710 0.6× 130 0.4× 106 0.5× 80 0.4× 165 0.8× 27 980
Naroa Serna Spain 22 914 0.8× 165 0.6× 335 1.6× 86 0.4× 310 1.6× 62 1.4k
Alfredo Erazo‐Oliveras United States 16 1.0k 0.9× 163 0.5× 94 0.5× 163 0.8× 157 0.8× 21 1.2k
Wolfgang Zauner Austria 22 1.6k 1.3× 191 0.6× 460 2.2× 615 3.1× 290 1.5× 35 2.4k

Countries citing papers authored by Wouter P. R. Verdurmen

Since Specialization
Citations

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

Fields of papers citing papers by Wouter P. R. Verdurmen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wouter P. R. Verdurmen. 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 Wouter P. R. Verdurmen. The network helps show where Wouter P. R. Verdurmen may publish in the future.

Co-authorship network of co-authors of Wouter P. R. Verdurmen

This figure shows the co-authorship network connecting the top 25 collaborators of Wouter P. R. Verdurmen. A scholar is included among the top collaborators of Wouter P. R. Verdurmen 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 Wouter P. R. Verdurmen. Wouter P. R. Verdurmen 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.
Gorris, Mark A.J., Kiek Verrijp, Wouter P. R. Verdurmen, et al.. (2024). Artificial intelligence-based tissue segmentation and cell identification in multiplex-stained histological endometriosis sections. Human Reproduction. 40(3). 450–460.
2.
Peek, Ronald, et al.. (2024). Endometriotic tissue fragments are viable after cryopreservation in an ex vivo tissue model recapitulating the fibrotic microenvironment. Human Reproduction. 39(9). 2067–2078. 1 indexed citations
3.
Vonk, Madelon C, et al.. (2024). Fibrosis‐on‐Chip: A Guide to Recapitulate the Essential Features of Fibrotic Disease. Advanced Healthcare Materials. 13(21). e2303991–e2303991. 3 indexed citations
4.
Verdurmen, Wouter P. R., et al.. (2024). Tumor‐On‐A‐Chip Models for Predicting In Vivo Nanoparticle Behavior. Small. 20(35). e2402311–e2402311. 11 indexed citations
5.
Verdurmen, Wouter P. R., et al.. (2023). Potent and selective eradication of tumor cells by an EpCAM-targeted Ras-degrading enzyme. Molecular Therapy — Oncolytics. 30. 16–26.
6.
Huang, Chu-Yi, et al.. (2023). The Application of Organs-on-a-Chip in Dental, Oral, and Craniofacial Research. Journal of Dental Research. 102(4). 364–375. 37 indexed citations
8.
Valerius, Thomas, et al.. (2023). Organ-on-a-chip models for development of cancer immunotherapies. Cancer Immunology Immunotherapy. 72(12). 3971–3983. 14 indexed citations
9.
Rösner, Thies, et al.. (2022). Evaluation of immunotherapies improving macrophage anti-tumor response using a microfluidic model. 4. 100019–100019. 16 indexed citations
10.
Gac, Séverine Le, et al.. (2022). Oxygen control: the often overlooked but essential piece to create betterin vitrosystems. Lab on a Chip. 22(6). 1068–1092. 32 indexed citations
11.
Oosterwijk, Egbert, et al.. (2021). Mimicking the Biology of Engineered Protein and mRNA Nanoparticle Delivery Using a Versatile Microfluidic Platform. Pharmaceutics. 13(11). 1944–1944. 6 indexed citations
12.
Groenman, Freek, D.D.M. Braat, C. C. M. Beerendonk, et al.. (2021). Assessing the use of tumor-specific DARPin-toxin fusion proteins for ex vivo purging of cancer metastases from human ovarian cortex before autotransplantation. PubMed. 2(4). 330–344. 3 indexed citations
13.
Descroix, Stéphanie, et al.. (2021). A Computational Investigation of In Vivo Cytosolic Protein Delivery for Cancer Therapy. Pharmaceutics. 13(4). 562–562. 5 indexed citations
14.
Brandl, Fabian, et al.. (2021). Thermodynamic Stability Is a Strong Predictor for the Delivery of DARPins to the Cytosol via Anthrax Toxin. Pharmaceutics. 13(8). 1285–1285. 5 indexed citations
15.
Descroix, Stéphanie, et al.. (2021). A Hybrid In Silico and Tumor-on-a-Chip Approach to Model Targeted Protein Behavior in 3D Microenvironments. Cancers. 13(10). 2461–2461. 14 indexed citations
16.
Venzac, Bastien, et al.. (2020). Metabolic Switching of Tumor Cells under Hypoxic Conditions in a Tumor-on-a-chip Model. Micromachines. 11(4). 382–382. 43 indexed citations
17.
Lith, Sanne A. M. van, Mark A.J. Gorris, Inge Ebisch, et al.. (2020). EpCAM-Binding DARPins for Targeted Photodynamic Therapy of Ovarian Cancer. Cancers. 12(7). 1762–1762. 19 indexed citations
18.
Verdurmen, Wouter P. R., et al.. (2017). A quantitative comparison of cytosolic delivery via different protein uptake systems. Scientific Reports. 7(1). 13194–13194. 67 indexed citations
19.
Verdurmen, Wouter P. R., Petra H. M. Bovée‐Geurts, Parvesh Wadhwani, et al.. (2011). Preferential Uptake of L- versus D-Amino Acid Cell-Penetrating Peptides in a Cell Type-Dependent Manner. Chemistry & Biology. 18(8). 1000–1010. 126 indexed citations
20.
Verdurmen, Wouter P. R. & Roland Brock. (2010). Biological responses towards cationic peptides and drug carriers. Trends in Pharmacological Sciences. 32(2). 116–124. 71 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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