Theo Verrips

2.5k total citations
47 papers, 1.9k citations indexed

About

Theo Verrips is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Immunology. According to data from OpenAlex, Theo Verrips has authored 47 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Radiology, Nuclear Medicine and Imaging, 25 papers in Molecular Biology and 16 papers in Immunology. Recurrent topics in Theo Verrips's work include Monoclonal and Polyclonal Antibodies Research (27 papers), Glycosylation and Glycoproteins Research (13 papers) and HIV Research and Treatment (12 papers). Theo Verrips is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (27 papers), Glycosylation and Glycoproteins Research (13 papers) and HIV Research and Treatment (12 papers). Theo Verrips collaborates with scholars based in Netherlands, United Kingdom and Belgium. Theo Verrips's co-authors include Hans de Haard, Christian Cambillau, Robin A. Weiss, Leon Frenken, Silvia Spinelli, Andrea Gorlani, Anna Hultberg, Pim Hermans, Peter Vanlandschoot and M. Tegoni and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Theo Verrips

46 papers receiving 1.9k citations

Peers

Theo Verrips
Weizao Chen United States
Anthony H. Keeble United Kingdom
Yang Feng United States
G. Jonah Rainey United States
Hans J. de Haard Netherlands
Oleksandr Kalyuzhniy United States
Tom J. Mason Australia
Weizao Chen United States
Theo Verrips
Citations per year, relative to Theo Verrips Theo Verrips (= 1×) peers Weizao Chen

Countries citing papers authored by Theo Verrips

Since Specialization
Citations

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

Fields of papers citing papers by Theo Verrips

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Theo Verrips

This figure shows the co-authorship network connecting the top 25 collaborators of Theo Verrips. A scholar is included among the top collaborators of Theo Verrips 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 Theo Verrips. Theo Verrips 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.
Zhou, Tongqing, Lei Chen, Jason Gorman, et al.. (2022). Structural basis for llama nanobody recognition and neutralization of HIV-1 at the CD4-binding site. Structure. 30(6). 862–875.e4. 9 indexed citations
2.
Haaren, Marlies M. van, Meliawati Poniman, Gillian Dekkers, et al.. (2022). Anti-HIV-1 Nanobody-IgG1 Constructs With Improved Neutralization Potency and the Ability to Mediate Fc Effector Functions. Frontiers in Immunology. 13. 893648–893648. 20 indexed citations
3.
Klarenbeek, A., Vladimir Bobkov, Jordi Doijen, et al.. (2018). CXCR4-targeting nanobodies differentially inhibit CXCR4 function and HIV entry. Biochemical Pharmacology. 158. 402–412. 43 indexed citations
4.
Zhong, Leilei, Xiaobin Huang, Jeroen Leijten, et al.. (2016). Endogenous DKK1 and FRZB Regulate Chondrogenesis and Hypertrophy in Three-Dimensional Cultures of Human Chondrocytes and Human Mesenchymal Stem Cells. Stem Cells and Development. 25(23). 1808–1817. 32 indexed citations
5.
Zhong, Leilei, Xiaojian Huang, Elsa Rodrigues, et al.. (2016). DKK1 AND FRZB are necessary for chondrocyte (RE)differentiation and prevention of cell hypertrophy in 3D cultures of human chondrocytes and human mesenchymal stem cells. Osteoarthritis and Cartilage. 24. S142–S142. 2 indexed citations
6.
Klarenbeek, A., Aline Desmyter, Christophe Blanchetot, et al.. (2015). Camelid Ig V genes reveal significant human homology not seen in therapeutic target genes, providing for a powerful therapeutic antibody platform. mAbs. 7(4). 693–706. 74 indexed citations
7.
Pepers, Barry A., Rinse Klooster, Silvère M. van der Maarel, et al.. (2014). Selection and characterization of llama single domain antibodies against N-terminal huntingtin. Neurological Sciences. 36(3). 429–434. 12 indexed citations
9.
Rutten, Lucy, Hans de Haard, & Theo Verrips. (2012). Improvement of Proteolytic Stability Through In Silico Engineering. Methods in molecular biology. 911. 373–381. 1 indexed citations
10.
Dolk, Edward, Theo Verrips, & Hans de Haard. (2012). Selection of VHHs Under Application Conditions. Methods in molecular biology. 911. 199–209. 2 indexed citations
11.
Gorlani, Andrea, Hans de Haard, & Theo Verrips. (2012). Expression of VHHs in Saccharomyces cerevisiae. Methods in molecular biology. 911. 277–286. 27 indexed citations
12.
Gorlani, Andrea, Joachim Brouwers, Christopher McConville, et al.. (2011). Llama Antibody Fragments Have Good Potential for Application as HIV Type 1 Topical Microbicides. AIDS Research and Human Retroviruses. 28(2). 198–205. 26 indexed citations
13.
Schepens, Bert, Lorena Itatí Ibañez, Anna Hultberg, et al.. (2011). Nanobodies® Specific for Respiratory Syncytial Virus Fusion Protein Protect Against Infection by Inhibition of Fusion. The Journal of Infectious Diseases. 204(11). 1692–1701. 43 indexed citations
14.
Ibañez, Lorena Itatí, Marina De Filette, Anna Hultberg, et al.. (2011). Nanobodies With In Vitro Neutralizing Activity Protect Mice Against H5N1 Influenza Virus Infection. The Journal of Infectious Diseases. 203(8). 1063–1072. 85 indexed citations
15.
Hinz, Andreas, D. Lutje Hulsik, Anna Forsman, et al.. (2010). Crystal Structure of the Neutralizing Llama VHH D7 and Its Mode of HIV-1 gp120 Interaction. PLoS ONE. 5(5). e10482–e10482. 30 indexed citations
16.
Impagliazzo, Antonietta, Armand W.J.W. Tepper, Theo Verrips, Marcellus Ubbink, & Silvère M. van der Maarel. (2010). Structural basis for a PABPN1 aggregation‐preventing antibody fragment in OPMD. FEBS Letters. 584(8). 1558–1564. 5 indexed citations
17.
Visser, Chris J., et al.. (2006). Increased heterologous protein production by Saccharomyces cerevisiae growing on ethanol as sole carbon source. Biotechnology and Bioengineering. 96(3). 483–494. 33 indexed citations
18.
Huang, Yanchao, Peter Verheesen, Andreas Roussis, et al.. (2005). Protein studies in dysferlinopathy patients using llama-derived antibody fragments selected by phage display. European Journal of Human Genetics. 13(6). 721–730. 52 indexed citations
19.
Spinelli, Silvia, Aline Desmyter, Leon Frenken, et al.. (2004). Domain swapping of a llama VHH domain builds a crystal‐wide β‐sheet structure. FEBS Letters. 564(1-2). 35–40. 32 indexed citations
20.
Geus, Bernard de, et al.. (2000). Induction of immune responses and molecular cloning of the heavy chain antibody repertoire of Lama glama. Journal of Immunological Methods. 240(1-2). 185–195. 110 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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