Tom G. Caniels

4.1k total citations
12 papers, 306 citations indexed

About

Tom G. Caniels is a scholar working on Infectious Diseases, Radiology, Nuclear Medicine and Imaging and Immunology. According to data from OpenAlex, Tom G. Caniels has authored 12 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Infectious Diseases, 5 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Immunology. Recurrent topics in Tom G. Caniels's work include SARS-CoV-2 and COVID-19 Research (8 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and COVID-19 Clinical Research Studies (4 papers). Tom G. Caniels is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (8 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and COVID-19 Clinical Research Studies (4 papers). Tom G. Caniels collaborates with scholars based in Netherlands, United States and United Kingdom. Tom G. Caniels's co-authors include Marit J. van Gils, Rogier W. Sanders, Philip J. M. Brouwer, Ian A. Wilson, Hejun Liu, Meng Yuan, Jonathan L. Torres, Chang‐Chun D. Lee, Sandhya Bangaru and Xueyong Zhu and has published in prestigious journals such as Nature Communications, Immunity and The Journal of Immunology.

In The Last Decade

Tom G. Caniels

12 papers receiving 302 citations

Peers

Tom G. Caniels
Mallorie E. Fouch United States
Belinda M. Dcosta United States
Elaine C. Chen United States
Saathvik R. Kannan United States
Erik Boehm Switzerland
Anshu Joshi United States
Tom G. Caniels
Citations per year, relative to Tom G. Caniels Tom G. Caniels (= 1×) peers Pan-Pan Zhou

Countries citing papers authored by Tom G. Caniels

Since Specialization
Citations

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

Fields of papers citing papers by Tom G. Caniels

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tom G. Caniels. 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 Tom G. Caniels. The network helps show where Tom G. Caniels may publish in the future.

Co-authorship network of co-authors of Tom G. Caniels

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

All Works

12 of 12 papers shown
1.
Schaik, Barbera D. C. van, Jeroen E. J. Guikema, Tom G. Caniels, et al.. (2024). Systematic evaluation of B-cell clonal family inference approaches. BMC Immunology. 25(1). 13–13. 2 indexed citations
2.
Geyer, Chiara E., Hung‐Jen Chen, Alexander P. Bye, et al.. (2023). Identification of new drugs to counteract anti-spike IgG-induced hyperinflammation in severe COVID-19. Life Science Alliance. 6(11). e202302106–e202302106. 6 indexed citations
3.
Jongejan, Aldo, Tom G. Caniels, Mathieu Claireaux, et al.. (2023). Understanding repertoire sequencing data through a multiscale computational model of the germinal center. npj Systems Biology and Applications. 9(1). 8–8. 3 indexed citations
4.
Bondt, Albert, Max Hoek, Karlijn van der Straten, et al.. (2022). Discriminating cross-reactivity in polyclonal IgG1 responses against SARS-CoV-2 variants of concern. Nature Communications. 13(1). 6103–6103. 11 indexed citations
5.
Bliss, Carly M., Alec W. Freyn, Tom G. Caniels, et al.. (2022). A single-shot adenoviral vaccine provides hemagglutinin stalk-mediated protection against heterosubtypic influenza challenge in mice. Molecular Therapy. 30(5). 2024–2047. 24 indexed citations
6.
Velden, Yme U. van der, Marloes Grobben, Tom G. Caniels, et al.. (2022). A SARS-CoV-2 Wuhan spike virosome vaccine induces superior neutralization breadth compared to one using the Beta spike. Scientific Reports. 12(1). 3884–3884. 11 indexed citations
7.
Brinkkemper, Mitch, Philip J. M. Brouwer, Pauline Maisonnasse, et al.. (2021). A third SARS-CoV-2 spike vaccination improves neutralization of variants-of-concern. npj Vaccines. 6(1). 146–146. 8 indexed citations
8.
Yin, Victor, Szu‐Hsueh Lai, Tom G. Caniels, et al.. (2021). Probing Affinity, Avidity, Anticooperativity, and Competition in Antibody and Receptor Binding to the SARS-CoV-2 Spike by Single Particle Mass Analyses. ACS Central Science. 7(11). 1863–1873. 20 indexed citations
9.
Caniels, Tom G., Christianne J.M. de Groot, Dasja Pajkrt, et al.. (2021). Human Milk Antibodies Against SARS-CoV-2: A Longitudinal Follow-Up Study. Journal of Human Lactation. 37(3). 485–491. 18 indexed citations
10.
Wu, Nicholas C., Meng Yuan, Hejun Liu, et al.. (2020). An Alternative Binding Mode of IGHV3-53 Antibodies to the SARS-CoV-2 Receptor Binding Domain. Cell Reports. 33(3). 108274–108274. 95 indexed citations
11.
Liu, Hejun, Nicholas C. Wu, Meng Yuan, et al.. (2020). Cross-Neutralization of a SARS-CoV-2 Antibody to a Functionally Conserved Site Is Mediated by Avidity. Immunity. 53(6). 1272–1280.e5. 100 indexed citations
12.
Brandsma, Arianne M., et al.. (2017). Single Nucleotide Polymorphisms of the High Affinity IgG Receptor FcγRI Reduce Immune Complex Binding and Downstream Effector Functions. The Journal of Immunology. 199(7). 2432–2439. 8 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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