Cees E. van der Poel

1.2k total citations
17 papers, 684 citations indexed

About

Cees E. van der Poel is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Cees E. van der Poel has authored 17 papers receiving a total of 684 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Immunology, 10 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Molecular Biology. Recurrent topics in Cees E. van der Poel's work include T-cell and B-cell Immunology (13 papers), Monoclonal and Polyclonal Antibodies Research (10 papers) and Immune Cell Function and Interaction (9 papers). Cees E. van der Poel is often cited by papers focused on T-cell and B-cell Immunology (13 papers), Monoclonal and Polyclonal Antibodies Research (10 papers) and Immune Cell Function and Interaction (9 papers). Cees E. van der Poel collaborates with scholars based in United States, Netherlands and Denmark. Cees E. van der Poel's co-authors include Jeanette H.W. Leusen, Michael C. Carroll, Jan G. J. van de Winkel, Balthasar A. Heesters, Robbert M. Spaapen, Abhishek Das, Péter Boross, Goran Bajic, J.H. Marco Jansen and Søren E. Degn and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Cees E. van der Poel

17 papers receiving 675 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cees E. van der Poel United States 13 481 250 204 73 72 17 684
Daniel Gadala-Maria United States 5 616 1.3× 259 1.0× 344 1.7× 70 1.0× 62 0.9× 5 836
Jana R. Hermes Australia 11 915 1.9× 172 0.7× 179 0.9× 102 1.4× 65 0.9× 11 1.1k
Georg Malcherek Germany 14 585 1.2× 135 0.5× 189 0.9× 79 1.1× 56 0.8× 21 823
Carla R. Nowosad United States 10 605 1.3× 92 0.4× 178 0.9× 109 1.5× 35 0.5× 14 799
Susan K. Pierce United States 11 440 0.9× 74 0.3× 227 1.1× 61 0.8× 50 0.7× 19 644
Victoria Martin United Kingdom 7 402 0.8× 161 0.6× 118 0.6× 35 0.5× 77 1.1× 7 542
Katherine Bourne Australia 11 707 1.5× 93 0.4× 145 0.7× 89 1.2× 54 0.8× 11 855
Gabriella Huerta United States 5 410 0.9× 325 1.3× 320 1.6× 70 1.0× 51 0.7× 5 736
Sebastian Spindeldreher Switzerland 15 739 1.5× 379 1.5× 381 1.9× 151 2.1× 32 0.4× 25 1.0k
Irene Ni United States 11 356 0.7× 379 1.5× 347 1.7× 166 2.3× 37 0.5× 15 743

Countries citing papers authored by Cees E. van der Poel

Since Specialization
Citations

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

Fields of papers citing papers by Cees E. van der Poel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cees E. van der Poel. 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 Cees E. van der Poel. The network helps show where Cees E. van der Poel may publish in the future.

Co-authorship network of co-authors of Cees E. van der Poel

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

All Works

17 of 17 papers shown
1.
Broek, Theo van den, et al.. (2024). Invasion of spontaneous germinal centers by naive B cells is rapid and persistent. Science Immunology. 9(93). eadi8150–eadi8150. 4 indexed citations
2.
Akama‐Garren, Elliot H., et al.. (2021). Follicular T cells are clonally and transcriptionally distinct in B cell-driven mouse autoimmune disease. Nature Communications. 12(1). 6687–6687. 15 indexed citations
3.
Présumey, Jessy, Cees E. van der Poel, Carlos Castrillón, et al.. (2020). Complement C4A Regulates Autoreactive B Cells in Murine Lupus. Cell Reports. 33(5). 108330–108330. 12 indexed citations
4.
Poel, Cees E. van der, Goran Bajic, Charles Macaulay, et al.. (2019). Follicular Dendritic Cells Modulate Germinal Center B Cell Diversity through FcγRIIB. Cell Reports. 29(9). 2745–2755.e4. 33 indexed citations
5.
Wang, Ninghai, Cees E. van der Poel, Marta Cuenca, et al.. (2019). The Checkpoint Regulator SLAMF3 Preferentially Prevents Expansion of Auto-Reactive B Cells Generated by Graft-vs.-Host Disease. Frontiers in Immunology. 10. 831–831. 7 indexed citations
6.
Bajic, Goran, Cees E. van der Poel, Masayuki Kuraoka, et al.. (2019). Autoreactivity profiles of influenza hemagglutinin broadly neutralizing antibodies. Scientific Reports. 9(1). 3492–3492. 46 indexed citations
7.
Tong, Pei, Alessandra Granato, Teng Zuo, et al.. (2017). IgH isotype-specific B cell receptor expression influences B cell fate. Proceedings of the National Academy of Sciences. 114(40). E8411–E8420. 17 indexed citations
8.
Degn, Søren E., Cees E. van der Poel, Daniel J. Firl, et al.. (2017). Clonal Evolution of Autoreactive Germinal Centers. Cell. 170(5). 913–926.e19. 91 indexed citations
9.
Heesters, Balthasar A., Cees E. van der Poel, & Michael C. Carroll. (2017). Follicular Dendritic Cell Isolation and Loading of Immune Complexes. Methods in molecular biology. 1623. 105–112. 8 indexed citations
10.
Heesters, Balthasar A., Cees E. van der Poel, Abhishek Das, & Michael C. Carroll. (2016). Antigen Presentation to B Cells. Trends in Immunology. 37(12). 844–854. 119 indexed citations
11.
Boross, Péter, Nadine van Montfoort, Daphne A. C. Stapels, et al.. (2014). FcRγ-Chain ITAM Signaling Is Critically Required for Cross-Presentation of Soluble Antibody–Antigen Complexes by Dendritic Cells. The Journal of Immunology. 193(11). 5506–5514. 29 indexed citations
12.
Boross, Péter, J.H. Marco Jansen, Agnieszka Pastuła, Cees E. van der Poel, & Jeanette H.W. Leusen. (2012). Both activating and inhibitory Fc gamma receptors mediate rituximab-induced trogocytosis of CD20 in mice. Immunology Letters. 143(1). 44–52. 33 indexed citations
13.
Boross, Péter, J.H. Marco Jansen, Simone de Haij, et al.. (2011). The in vivo mechanism of action of CD20 monoclonal antibodies depends on local tumor burden. Haematologica. 96(12). 1822–1830. 55 indexed citations
14.
Poel, Cees E. van der, Robbert M. Spaapen, Jan G. J. van de Winkel, & Jeanette H.W. Leusen. (2011). Functional Characteristics of the High Affinity IgG Receptor, FcγRI. The Journal of Immunology. 186(5). 2699–2704. 120 indexed citations
15.
Poel, Cees E. van der, et al.. (2010). Cytokine-induced immune complex binding to the high-affinity IgG receptor, FcγRI, in the presence of monomeric IgG. Blood. 116(24). 5327–5333. 50 indexed citations
16.
Beekman, Jeffrey M., Cees E. van der Poel, Debbie L. C. van den Berg, et al.. (2008). Filamin A Stabilizes FcγRI Surface Expression and Prevents Its Lysosomal Routing. The Journal of Immunology. 180(6). 3938–3945. 32 indexed citations
17.
Beekman, Jeffrey M., et al.. (2007). Protein 4.1G binds to a unique motif within the FcγRI cytoplasmic tail. Molecular Immunology. 45(7). 2069–2075. 13 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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