Ben de Wet

728 total citations
13 papers, 493 citations indexed

About

Ben de Wet is a scholar working on Immunology, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Ben de Wet has authored 13 papers receiving a total of 493 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 5 papers in Molecular Biology and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Ben de Wet's work include Immune Cell Function and Interaction (7 papers), T-cell and B-cell Immunology (6 papers) and Immunotherapy and Immune Responses (3 papers). Ben de Wet is often cited by papers focused on Immune Cell Function and Interaction (7 papers), T-cell and B-cell Immunology (6 papers) and Immunotherapy and Immune Responses (3 papers). Ben de Wet collaborates with scholars based in United Kingdom, South Africa and United States. Ben de Wet's co-authors include Thomas Harder, Tobias Zech, Andrej Shevchenko, Katharina Gaus, Kai Simons, Christer S. Ejsing, Bernard A. Prior, Willem H. van Zyl, Oreste Acuto and Mario R. Ehlers and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The EMBO Journal.

In The Last Decade

Ben de Wet

12 papers receiving 489 citations

Peers

Ben de Wet
Dana M. Francis United States
Paul A. Aeed United States
William P. Bozza United States
Orli Yogev Israel
R. Overman United Kingdom
Dana M. Francis United States
Ben de Wet
Citations per year, relative to Ben de Wet Ben de Wet (= 1×) peers Dana M. Francis

Countries citing papers authored by Ben de Wet

Since Specialization
Citations

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

Fields of papers citing papers by Ben de Wet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ben de Wet. 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 Ben de Wet. The network helps show where Ben de Wet may publish in the future.

Co-authorship network of co-authors of Ben de Wet

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

All Works

13 of 13 papers shown
1.
Winter, Christian, Claire Battin, Ben de Wet, et al.. (2024). Dual role of the peptide-loading complex as proofreader and limiter of MHC-I presentation. Proceedings of the National Academy of Sciences. 121(22). e2321600121–e2321600121. 6 indexed citations
2.
Wet, Ben de, Salah Mansour, Marco Lepore, et al.. (2024). Characterization of Human CD8αβ Interaction With Classical and Unconventional MHC Molecules. European Journal of Immunology. 55(1). e202451230–e202451230.
3.
Bridgeman, John S., Anne K. Wouters, Ben de Wet, et al.. (2023). High-affinity CD8 variants enhance the sensitivity of pMHCI antigen recognition via low-affinity TCRs. Journal of Biological Chemistry. 299(8). 104981–104981. 5 indexed citations
4.
Barton, Michael I., et al.. (2019). A generic cell surface ligand system for studying cell–cell recognition. PLoS Biology. 17(12). e3000549–e3000549. 8 indexed citations
5.
Wet, Ben de, et al.. (2016). Multisite Phosphorylation Modulates the T Cell Receptor ζ-Chain Potency but not the Switchlike Response. Biophysical Journal. 110(8). 1896–1906. 17 indexed citations
6.
Salek, Mogjiborahman, Simon J. McGowan, David C. Trudgian, et al.. (2013). Quantitative Phosphoproteome Analysis Unveils LAT as a Modulator of CD3ζ and ZAP-70 Tyrosine Phosphorylation. PLoS ONE. 8(10). e77423–e77423. 26 indexed citations
7.
Paster, Wolfgang, Guo Fu, Philip C. Simister, et al.. (2013). GRB2-Mediated Recruitment of THEMIS to LAT Is Essential for Thymocyte Development. The Journal of Immunology. 190(7). 3749–3756. 59 indexed citations
8.
Wet, Ben de, Tobias Zech, Mogjiborahman Salek, Oreste Acuto, & Thomas Harder. (2010). Proteomic Characterization of Plasma Membrane-proximal T Cell Activation Responses. Journal of Biological Chemistry. 286(6). 4072–4080. 19 indexed citations
9.
Zech, Tobias, Christer S. Ejsing, Katharina Gaus, et al.. (2009). Accumulation of raft lipids in T‐cell plasma membrane domains engaged in TCR signalling. The EMBO Journal. 28(5). 466–476. 229 indexed citations
10.
Cronin, Bríd, Ben de Wet, & Mark I. Wallace. (2009). Lucky Imaging: Improved Localization Accuracy for Single Molecule Imaging. Biophysical Journal. 96(7). 2912–2917. 11 indexed citations
11.
Wet, Ben de, et al.. (2007). Characterization of a family 54 α-l-arabinofuranosidase from Aureobasidium pullulans. Applied Microbiology and Biotechnology. 77(5). 975–983. 29 indexed citations
12.
Wet, Ben de, Willem H. van Zyl, & Bernard A. Prior. (2005). Characterization of the Aureobasidium pullulans α-glucuronidase expressed in Saccharomyces cerevisiae. Enzyme and Microbial Technology. 38(5). 649–656. 24 indexed citations
13.
Hoppe, Heinrich C., et al.. (1997). Identification of phosphatidylinositol mannoside as a mycobacterial adhesin mediating both direct and opsonic binding to nonphagocytic mammalian cells. Infection and Immunity. 65(9). 3896–3905. 60 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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