Maarten Slagter

5.4k total citations · 4 hit papers
9 papers, 2.0k citations indexed

About

Maarten Slagter is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Maarten Slagter has authored 9 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Oncology, 7 papers in Immunology and 2 papers in Molecular Biology. Recurrent topics in Maarten Slagter's work include Cancer Immunotherapy and Biomarkers (8 papers), CAR-T cell therapy research (5 papers) and Immunotherapy and Immune Responses (4 papers). Maarten Slagter is often cited by papers focused on Cancer Immunotherapy and Biomarkers (8 papers), CAR-T cell therapy research (5 papers) and Immunotherapy and Immune Responses (4 papers). Maarten Slagter collaborates with scholars based in Netherlands, United States and Austria. Maarten Slagter's co-authors include Ton N. Schumacher, Lodewyk F.A. Wessels, Riccardo Mezzadra, Leonie Voorwerk, Marleen Kok, JT Chang, Mustafa Khasraw, Daniel J. McGrail, Naoto T. Ueno and JK Litton and has published in prestigious journals such as Nature, Nature Medicine and Journal of Clinical Oncology.

In The Last Decade

Maarten Slagter

9 papers receiving 2.0k citations

Hit Papers

High tumor mutation burden fails to predict immu... 2017 2026 2020 2023 2021 2017 2018 2019 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maarten Slagter Netherlands 7 1.4k 937 598 411 373 9 2.0k
Jason Madore Australia 25 1.6k 1.2× 1.0k 1.1× 756 1.3× 459 1.1× 320 0.9× 32 2.5k
Li-Chuan Chan Taiwan 17 1.2k 0.8× 779 0.8× 965 1.6× 425 1.0× 406 1.1× 27 2.1k
Dario Sangiolo Italy 25 1.4k 1.0× 1.1k 1.2× 549 0.9× 442 1.1× 200 0.5× 76 2.2k
Orianne Colussi France 6 1.2k 0.9× 741 0.8× 475 0.8× 415 1.0× 293 0.8× 10 1.8k
Eva Muñoz‐Couselo Spain 20 1.6k 1.2× 574 0.6× 598 1.0× 418 1.0× 446 1.2× 89 2.1k
Chie Kudo‐Saito Japan 22 1.2k 0.9× 968 1.0× 793 1.3× 303 0.7× 327 0.9× 41 2.0k
Serena S. Kwek United States 20 1.5k 1.1× 1.2k 1.3× 701 1.2× 323 0.8× 236 0.6× 27 2.3k
Lucas Ferrari de Andrade United States 16 1.6k 1.1× 1.6k 1.7× 666 1.1× 328 0.8× 217 0.6× 29 2.6k
Sasha E. Stanton United States 15 1.1k 0.8× 596 0.6× 530 0.9× 274 0.7× 398 1.1× 36 1.7k
Limo Chen United States 18 1.0k 0.7× 712 0.8× 816 1.4× 276 0.7× 257 0.7× 26 1.9k

Countries citing papers authored by Maarten Slagter

Since Specialization
Citations

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

Fields of papers citing papers by Maarten Slagter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maarten Slagter

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

All Works

9 of 9 papers shown
1.
Hoekstra, Mirjam E., Maarten Slagter, Jos Urbanus, et al.. (2024). Distinct spatiotemporal dynamics of CD8+ T cell-derived cytokines in the tumor microenvironment. Cancer Cell. 42(1). 157–167.e9. 41 indexed citations
2.
McGrail, Daniel J., Leonie Voorwerk, Maarten Slagter, et al.. (2021). High tumor mutation burden fails to predict immune checkpoint blockade response across all cancer types. Annals of Oncology. 32(5). 661–672. 672 indexed citations breakdown →
3.
Slagter, Maarten, Elisa A. Rozeman, Judith M. Versluis, et al.. (2020). Spatial proximity of CD8 T cells to tumor cells as an independent biomarker for response to anti-PD-1 therapy.. Journal of Clinical Oncology. 38(15_suppl). 10038–10038. 3 indexed citations
4.
Slagter, Maarten, et al.. (2019). Contact-Dependent Killing by Cytotoxic T Lymphocytes Is Insufficient for EL4 Tumor Regression In Vivo. Cancer Research. 79(13). 3406–3416. 19 indexed citations
5.
Wellenstein, Max D., Seth B. Coffelt, Danique E. M. Duits, et al.. (2019). Loss of p53 triggers WNT-dependent systemic inflammation to drive breast cancer metastasis. Nature. 572(7770). 538–542. 361 indexed citations breakdown →
6.
Kvistborg, Pia, Marit M. van Buuren, Daisy Philips, et al.. (2019). Abstract B022: Properties of T-cell-recognized neoantigens. Cancer Immunology Research. 7(2_Supplement). B022–B022. 1 indexed citations
7.
Scheper, Wouter, Sander Kelderman, Lorenzo F. Fanchi, et al.. (2018). Low and variable tumor reactivity of the intratumoral TCR repertoire in human cancers. Nature Medicine. 25(1). 89–94. 373 indexed citations breakdown →
8.
Kok, Marleen, Leonie Voorwerk, Hugo M. Horlings, et al.. (2018). Adaptive phase II randomized trial of nivolumab after induction treatment in triple negative breast cancer (TONIC trial): Final response data stage I and first translational data.. Journal of Clinical Oncology. 36(15_suppl). 1012–1012. 34 indexed citations
9.
Mezzadra, Riccardo, Chong Sun, Lucas T. Jae, et al.. (2017). Identification of CMTM6 and CMTM4 as PD-L1 protein regulators. Nature. 549(7670). 106–110. 504 indexed citations breakdown →

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026