Kaspar Bresser

456 total citations
10 papers, 127 citations indexed

About

Kaspar Bresser is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Kaspar Bresser has authored 10 papers receiving a total of 127 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 5 papers in Molecular Biology and 3 papers in Oncology. Recurrent topics in Kaspar Bresser's work include Immune Cell Function and Interaction (3 papers), vaccines and immunoinformatics approaches (2 papers) and RNA modifications and cancer (2 papers). Kaspar Bresser is often cited by papers focused on Immune Cell Function and Interaction (3 papers), vaccines and immunoinformatics approaches (2 papers) and RNA modifications and cancer (2 papers). Kaspar Bresser collaborates with scholars based in Netherlands, Germany and France. Kaspar Bresser's co-authors include Ton N. Schumacher, Leïla Perié, Lianne Kok, Feline E. Dijkgraaf, Joost B. Beltman, David W. Vredevoogd, Jos Urbanus, Ferenc A. Scheeren, Rob J. de Boer and Ken R. Duffy and has published in prestigious journals such as The Journal of Experimental Medicine, Molecular Cell and Nature Immunology.

In The Last Decade

Kaspar Bresser

7 papers receiving 126 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kaspar Bresser Netherlands	4	100	41	25	12	7	10	127
Andrew W. Navia United States	5	127 1.3×	39 1.0×	51 2.0×	6 0.5×	4 0.6×	6	197
Teresa Preglej Austria	6	55 0.6×	37 0.9×	61 2.4×	7 0.6×	2 0.3×	8	122
Caroline Ang Australia	4	45 0.5×	43 1.0×	19 0.8×	5 0.4×	18 2.6×	5	87
Steffie Junius Belgium	6	87 0.9×	21 0.5×	41 1.6×	11 0.9×		7	123
Deena M. Maurer United States	6	87 0.9×	77 1.9×	41 1.6×	6 0.5×	7 1.0×	10	123
M. Teresa Ciudad Canada	4	93 0.9×	33 0.8×	56 2.2×	8 0.7×	2 0.3×	4	153
Mengting Gou China	4	121 1.2×	61 1.5×	40 1.6×	12 1.0×	3 0.4×	4	168
Gregor Dombrowsky Germany	3	41 0.4×	32 0.8×	38 1.5×	5 0.4×	23 3.3×	6	120
Ruth Brignall United Kingdom	4	89 0.9×	25 0.6×	68 2.7×	7 0.6×	3 0.4×	5	149
Siok Ping Yeo Singapore	4	28 0.3×	42 1.0×	48 1.9×	15 1.3×	6 0.9×	4	98

Countries citing papers authored by Kaspar Bresser

Since Specialization

Citations

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

Fields of papers citing papers by Kaspar Bresser

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaspar Bresser

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

All Works

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10 of 10 papers shown

1.

Nicolet, Benoît P., et al.. (2025). Learning the sequence code of protein expression in human immune cells. Science Advances. 11(30). eads0510–eads0510. 1 indexed citations

2.

Sluijter, Marjolein, Tim van Groningen, Remco van Doorn, et al.. (2025). Pyroglutamation of cell surface proteins CD47 and TRP1 by glutaminyl cyclase modulates therapeutic antibody binding. Communications Biology. 8(1). 1561–1561.

3.

Alphen, Floris P. J. van, Kaspar Bresser, Koos Rooijers, et al.. (2025). mTOR signaling during T cell activation promotes cytokine production in T cells through 3′ UTR-mediated translation control. Molecular Cell. 85(23). 4452–4462.e5.

4.

Logtenberg, Meike E. W., et al.. (2024). ITPK1 Sensitizes Tumor Cells to IgA-dependent Neutrophil Killing In Vivo. The Journal of Immunology. 213(8). 1244–1254.

5.

Bresser, Kaspar, Branka Popović, & Monika C. Wolkers. (2024). What's in a name: the multifaceted function of DNA‐ and RNA‐binding proteins in T cell responses. FEBS Journal. 292(8). 1853–1867. 1 indexed citations

6.

Bresser, Kaspar, Benoît P. Nicolet, Anita Jekő, et al.. (2024). Gene and protein sequence features augment HLA class I ligand predictions. Cell Reports. 43(6). 114325–114325. 1 indexed citations

7.

Bresser, Kaspar, Lianne Kok, Lisa A. King, et al.. (2022). Replicative history marks transcriptional and functional disparity in the CD8+ T cell memory pool. Nature Immunology. 23(5). 791–801. 29 indexed citations

8.

Bresser, Kaspar, Meike E. W. Logtenberg, Mireille Toebes, et al.. (2022). QPCTL regulates macrophage and monocyte abundance and inflammatory signatures in the tumor microenvironment. OncoImmunology. 11(1). 2049486–2049486. 16 indexed citations

9.

Kok, Lianne, Feline E. Dijkgraaf, Jos Urbanus, et al.. (2020). A committed tissue-resident memory T cell precursor within the circulating CD8+ effector T cell pool. The Journal of Experimental Medicine. 217(10). 66 indexed citations

10.

Bresser, Kaspar, Feline E. Dijkgraaf, Colin E.J. Pritchard, et al.. (2020). A mouse model that is immunologically tolerant to reporter and modifier proteins. Communications Biology. 3(1). 273–273. 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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