Robbert M. Spaapen

4.7k total citations · 1 hit paper
49 papers, 3.4k citations indexed

About

Robbert M. Spaapen is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Robbert M. Spaapen has authored 49 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Immunology, 21 papers in Oncology and 16 papers in Molecular Biology. Recurrent topics in Robbert M. Spaapen's work include Immunotherapy and Immune Responses (26 papers), Immune Cell Function and Interaction (24 papers) and T-cell and B-cell Immunology (20 papers). Robbert M. Spaapen is often cited by papers focused on Immunotherapy and Immune Responses (26 papers), Immune Cell Function and Interaction (24 papers) and T-cell and B-cell Immunology (20 papers). Robbert M. Spaapen collaborates with scholars based in Netherlands, United States and United Kingdom. Robbert M. Spaapen's co-authors include Yuanyuan Zha, Stefani Spranger, Thomas F. Gajewski, Jason B. Williams, Yuru Meng, Yan Zheng, Marlieke L.M. Jongsma, Thomas F. Gajewski, Leticia Corrales and Seng‐Ryong Woo and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Robbert M. Spaapen

47 papers receiving 3.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Up-Regulation of PD-L1, IDO, and T _regs in the Melanoma Tumor Microenvironment Is Driven by CD8 ⁺ T Cells

2013 1.3k citations Stefani Spranger, Robbert M. Spaapen et al. profile →

Peers

Robbert M. Spaapen

IMMUN

ONCOL

PRM

Tahseen H. Nasti United States

Elfriede Noeßner Germany

Flavio Salazar‐Onfray Chile

Weihua Xiao China

Elisabeth Naschberger Germany

Nikhil S. Joshi United States

Todd D. Schell United States

Martin Oft United States

Thomas Welte United States

Kei‐ichi Shibahara Japan

Tahseen H. Nasti United States

Robbert M. Spaapen

2.6k ×1.4

IMMUN

2.6k ×1.4

ONCOL

877 ×0.8

420 ×1.3

PRM

186 ×0.8

Citations per year, relative to Robbert M. Spaapen Robbert M. Spaapen (= 1×) peers Tahseen H. Nasti

Countries citing papers authored by Robbert M. Spaapen

Since Specialization

Citations

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

Fields of papers citing papers by Robbert M. Spaapen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robbert M. Spaapen. 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 Robbert M. Spaapen. The network helps show where Robbert M. Spaapen may publish in the future.

Co-authorship network of co-authors of Robbert M. Spaapen

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

All Works

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20 of 20 papers shown

Michaux, Justine, et al.. (2025). Deleterious KOs in the HLA Class I Antigen Processing and Presentation Machinery Induce Distinct Changes in the Immunopeptidome. Molecular & Cellular Proteomics. 24(5). 100951–100951. 3 indexed citations

Gerke, Carolin, Valerie Oberhardt, Di Wu, et al.. (2024). Multimodal HLA-I genotype regulation by human cytomegalovirus US10 and resulting surface patterning. eLife. 13. 4 indexed citations

Langereis, Jeroen D., Mieke C. Brouwer, Marlieke L.M. Jongsma, et al.. (2023). The contribution of the alternative pathway in complement activation on cell surfaces depends on the strength of classical pathway initiation. Clinical & Translational Immunology. 12(1). e1436–e1436. 16 indexed citations

Winter, Christian, et al.. (2022). Structure of an MHC I–tapasin–ERp57 editing complex defines chaperone promiscuity. Nature Communications. 13(1). 5383–5383. 23 indexed citations

MacNabb, Brendan W., Xiufen Chen, James Godfrey, et al.. (2022). Dendritic cells can prime anti-tumor CD8+ T cell responses through major histocompatibility complex cross-dressing. Immunity. 55(6). 982–997.e8. 105 indexed citations

Spaapen, Robbert M., et al.. (2022). Viral immune evasins impact antigen presentation by allele-specific trapping of MHC I at the peptide-loading complex. Scientific Reports. 12(1). 1516–1516. 6 indexed citations

Urban, A, Grzegorz Stasiłojć, Emilia Arjona, et al.. (2021). Gain-of-Function Mutations R249C and S250C in Complement C2 Protein Increase C3 Deposition in the Presence of C-Reactive Protein. Frontiers in Immunology. 12. 724361–724361. 8 indexed citations

Unger, Peter‐Paul A., et al.. (2021). Soluble FAS Ligand Enhances Suboptimal CD40L/IL-21–Mediated Human Memory B Cell Differentiation into Antibody-Secreting Cells. The Journal of Immunology. 207(2). 449–458. 7 indexed citations

Pont, Margot J., Rimke Oostvogels, Cornelis A.M. van Bergen, et al.. (2019). T Cells Specific for an Unconventional Natural Antigen Fail to Recognize Leukemic Cells. Cancer Immunology Research. 7(5). 797–804. 8 indexed citations

10.

Zhang, Tao, et al.. (2019). The Role of Glycosphingolipids in Immune Cell Functions. Frontiers in Immunology. 10. 90–90. 110 indexed citations

11.

Verstegen, Niels J. M., Peter‐Paul A. Unger, Benoît P. Nicolet, et al.. (2019). Human B Cells Engage the NCK/PI3K/RAC1 Axis to Internalize Large Particles via the IgM-BCR. Frontiers in Immunology. 10. 415–415. 7 indexed citations

12.

Raaben, Matthijs, et al.. (2018). Secretome Screening Reveals Fibroblast Growth Factors as Novel Inhibitors of Viral Replication. Journal of Virology. 92(16). 26 indexed citations

13.

Jongsma, Marlieke L.M., et al.. (2018). CRISPR/Cas9 generated human CD46, CD55 and CD59 knockout cell lines as a tool for complement research. Journal of Immunological Methods. 456. 15–22. 24 indexed citations

14.

Scanu, Tiziana, Robbert M. Spaapen, Chandra Bhan Pratap, et al.. (2015). Salmonella Manipulation of Host Signaling Pathways Provokes Cellular Transformation Associated with Gallbladder Carcinoma. Cell Host & Microbe. 17(6). 763–774. 190 indexed citations

15.

Oostvogels, Rimke, H M Lokhorst, Monique C. Minnema, et al.. (2014). Identification of minor histocompatibility antigens based on the 1000 Genomes Project. Haematologica. 99(12). 1854–1859. 23 indexed citations

16.

Hassan, Cesare, Michel G.D. Kester, Gideon Oudgenoeg, et al.. (2014). Accurate quantitation of MHC-bound peptides by application of isotopically labeled peptide MHC complexes. Journal of Proteomics. 109. 240–244. 57 indexed citations

17.

Gajewski, Thomas F., Seng‐Ryong Woo, Yuanyuan Zha, et al.. (2013). Cancer immunotherapy strategies based on overcoming barriers within the tumor microenvironment. Current Opinion in Immunology. 25(2). 268–276. 341 indexed citations

18.

Gajewski, Thomas F., Mercedes B. Fuertes, Robbert M. Spaapen, Yan Zheng, & Justin Kline. (2010). Molecular profiling to identify relevant immune resistance mechanisms in the tumor microenvironment. Current Opinion in Immunology. 23(2). 286–292. 111 indexed citations

19.

Rozemuller, Henk, Ellen van der Spek, Viviènne Verweij, et al.. (2008). A bioluminescence imaging based in vivo model for preclinical testing of novel cellular immunotherapy strategies to improve the graft-versus-myeloma effect. Haematologica. 93(7). 1049–1057. 35 indexed citations

20.

Spaapen, Robbert M., Henk M. Lokhorst, Brith Otterud, et al.. (2008). Toward targeting B cell cancers with CD4+ CTLs: identification of a CD19-encoded minor histocompatibility antigen using a novel genome-wide analysis. The Journal of Experimental Medicine. 205(12). 2863–2872. 47 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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