Marijne Vermeer

461 total citations
9 papers, 238 citations indexed

About

Marijne Vermeer is a scholar working on Immunology, Oncology and Surgery. According to data from OpenAlex, Marijne Vermeer has authored 9 papers receiving a total of 238 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 4 papers in Oncology and 1 paper in Surgery. Recurrent topics in Marijne Vermeer's work include Immune Cell Function and Interaction (6 papers), IL-33, ST2, and ILC Pathways (5 papers) and Cancer Immunotherapy and Biomarkers (4 papers). Marijne Vermeer is often cited by papers focused on Immune Cell Function and Interaction (6 papers), IL-33, ST2, and ILC Pathways (5 papers) and Cancer Immunotherapy and Biomarkers (4 papers). Marijne Vermeer collaborates with scholars based in Switzerland, Germany and United States. Marijne Vermeer's co-authors include Sònia Tugues, Burkhard Becher, Maries van den Broek, Nicolás Gonzalo Núñez, Giulia Lucchiari, Paulino Tallón de Lara, Virginia Cecconi, Dominik Bürri, Julia Gschwend and Andreas E. Moor and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Journal of Experimental Medicine.

In The Last Decade

Marijne Vermeer

8 papers receiving 236 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Marijne Vermeer Switzerland	6	181	94	54	38	17	9	238
Neha Akkad United States	2	185 1.0×	172 1.8×	16 0.3×	38 1.0×	17 1.0×	2	254
Derya Kabacaoğlu Germany	4	81 0.4×	127 1.4×	19 0.4×	59 1.6×	34 2.0×	5	185
Samantha B. Kemp United States	7	102 0.6×	123 1.3×	27 0.5×	86 2.3×	58 3.4×	11	233
Lynn Bonetti France	2	114 0.6×	53 0.6×	25 0.5×	50 1.3×	51 3.0×	2	185
Anamarija Markota Germany	4	111 0.6×	82 0.9×	9 0.2×	61 1.6×	18 1.1×	4	170
Ayman Ahmed Qatar	8	87 0.5×	81 0.9×	29 0.5×	62 1.6×	13 0.8×	13	156
Thomas S. Hayday United Kingdom	5	95 0.5×	23 0.2×	21 0.4×	61 1.6×	13 0.8×	8	159
Giraldo Kato United States	3	132 0.7×	130 1.4×	8 0.1×	42 1.1×	19 1.1×	5	191
Adriana Petrazzuolo France	7	47 0.3×	56 0.6×	11 0.2×	39 1.0×	7 0.4×	10	123
Yueyao Yang China	4	134 0.7×	144 1.5×	13 0.2×	87 2.3×	21 1.2×	10	270

Countries citing papers authored by Marijne Vermeer

Since Specialization

Citations

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

Fields of papers citing papers by Marijne Vermeer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marijne Vermeer

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

All Works

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9 of 9 papers shown

1.

Vermeer, Marijne, Colin Sparano, Maud Mayoux, et al.. (2025). Tissue localization of natural killer cells dictates surveillance of lung metastasis. Nature Communications. 16(1). 9464–9464.

2.

Sparano, Colin, Lukas Rindlisbacher, Hannah Van Hove, et al.. (2024). Autocrine TGF-β1 drives tissue-specific differentiation and function of resident NK cells. The Journal of Experimental Medicine. 222(3). 6 indexed citations

3.

Wertheimer, Tobias, Odit Gutwein, Ester Cannizzaro, et al.. (2023). Deciphering the Dynamics of the B-NHL Single-Cell Landscape during BTK Inhibition. Blood. 142(Supplement 1). 3007–3007. 1 indexed citations

4.

Sparano, Colin, Marijne Vermeer, Florian Ingelfinger, et al.. (2022). Embryonic and neonatal waves generate distinct populations of hepatic ILC1s. Science Immunology. 7(75). eabo6641–eabo6641. 17 indexed citations

5.

Lara, Paulino Tallón de, Marijne Vermeer, Nicolás Gonzalo Núñez, et al.. (2021). CD39+PD-1+CD8+ T cells mediate metastatic dormancy in breast cancer. Nature Communications. 12(1). 769–769. 66 indexed citations

6.

Lucchiari, Giulia, Laura Heeb, Nicolás Gonzalo Núñez, et al.. (2021). Conventional NK cells and tissue-resident ILC1s join forces to control liver metastasis. Proceedings of the National Academy of Sciences. 118(27). 76 indexed citations

7.

Lara, Paulino Tallón de, Marijne Vermeer, Nicolás Gonzalo Núñez, et al.. (2020). Abstract 2646: CD39+PD-1+CD8+ T cells mediate metastatic dormancy in breast cancer. Cancer Research. 80(16_Supplement). 2646–2646. 1 indexed citations

8.

Vermeer, Marijne, et al.. (2019). The Interplay Between Innate Lymphoid Cells and the Tumor Microenvironment. Frontiers in Immunology. 10. 2895–2895. 34 indexed citations

9.

Beffinger, Michał, Paulino Tallón de Lara, Sònia Tugues, et al.. (2018). CSF1R-dependent myeloid cells are required for NK‑mediated control of metastasis. JCI Insight. 3(10). 37 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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