Mark Mensink

513 total citations
9 papers, 374 citations indexed

About

Mark Mensink is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Mark Mensink has authored 9 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 4 papers in Oncology and 2 papers in Molecular Biology. Recurrent topics in Mark Mensink's work include Immune Cell Function and Interaction (7 papers), T-cell and B-cell Immunology (5 papers) and Immunotherapy and Immune Responses (3 papers). Mark Mensink is often cited by papers focused on Immune Cell Function and Interaction (7 papers), T-cell and B-cell Immunology (5 papers) and Immunotherapy and Immune Responses (3 papers). Mark Mensink collaborates with scholars based in Netherlands, Australia and Germany. Mark Mensink's co-authors include Ilana Berlin, Jannie Borst, Sander de Kivit, Peter A. van Veelen, Hans Janßen, Jacques Neefjes, Malgorzata Garstka, Ruud H. Wijdeven, Marlieke L.M. Jongsma and Robbert M. Spaapen and has published in prestigious journals such as Cell, Scientific Reports and Cell Death and Differentiation.

In The Last Decade

Mark Mensink

9 papers receiving 372 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mark Mensink Netherlands	7	161	156	100	97	67	9	374
Ran Salomon Israel	7	222 1.4×	135 0.9×	145 1.4×	51 0.5×	31 0.5×	9	397
Maja Mandić United States	12	246 1.5×	247 1.6×	195 1.9×	34 0.4×	20 0.3×	21	484
Kamilla Breen Norway	7	46 0.3×	214 1.4×	96 1.0×	70 0.7×	41 0.6×	7	321
Katrin Schweitzer Germany	12	159 1.0×	311 2.0×	108 1.1×	38 0.4×	45 0.7×	14	476
Birgit Holzwarth Germany	6	86 0.5×	312 2.0×	45 0.5×	104 1.1×	60 0.9×	7	437
Rutger C.C. Hengeveld Netherlands	8	68 0.4×	317 2.0×	79 0.8×	226 2.3×	19 0.3×	13	436
Paul A. DaRosa United States	9	49 0.3×	519 3.3×	202 2.0×	89 0.9×	54 0.8×	10	621
Jacqueline Lee United States	7	47 0.3×	221 1.4×	25 0.3×	112 1.2×	36 0.5×	8	335
Noah Joseph Israel	8	182 1.1×	108 0.7×	88 0.9×	85 0.9×	7 0.1×	16	331
Eloisa Pagler Australia	8	132 0.8×	230 1.5×	36 0.4×	73 0.8×	19 0.3×	10	379

Countries citing papers authored by Mark Mensink

Since Specialization

Citations

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

Fields of papers citing papers by Mark Mensink

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Mensink

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Mensink. A scholar is included among the top collaborators of Mark Mensink 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 Mark Mensink. Mark Mensink 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.

Mensink, Mark, Ellen Schrama, Peter A. van Veelen, et al.. (2024). Treg cells from human blood differentiate into non-lymphoid tissue-resident effector cells upon TNFR2 costimulation. JCI Insight. 9(5). 5 indexed citations

2.

Kivit, Sander de, Mark Mensink, Sarantos Kostidis, et al.. (2024). Immune suppression by human thymus-derived effector Tregs relies on glucose/lactate-fueled fatty acid synthesis. Cell Reports. 43(9). 114681–114681. 6 indexed citations

3.

Mensink, Mark, Ellen Schrama, Eloy Cuadrado, et al.. (2022). Proteomics reveals unique identities of human TGF-β-induced and thymus-derived CD4+ regulatory T cells. Scientific Reports. 12(1). 20268–20268. 4 indexed citations

4.

Mensink, Mark, Esther A. Zaal, Ellen Schrama, et al.. (2022). TNFR2 Costimulation Differentially Impacts Regulatory and Conventional CD4+ T-Cell Metabolism. Frontiers in Immunology. 13. 881166–881166. 14 indexed citations

5.

Kivit, Sander de, Mark Mensink, Ilana Berlin, et al.. (2020). Stable human regulatory T cells switch to glycolysis following TNF receptor 2 costimulation. Nature Metabolism. 2(10). 1046–1061. 50 indexed citations

6.

Mensink, Mark, Natasha S. Anstee, Mikara Robati, et al.. (2018). Anti-apoptotic A1 is not essential for lymphoma development in Eµ-Myc mice but helps sustain transplanted Eµ-Myc tumour cells. Cell Death and Differentiation. 25(4). 797–808. 15 indexed citations

7.

Oja, Anna E., Berber Piet, Hans Blaauwgeers, et al.. (2018). Functional Heterogeneity of CD4+ Tumor-Infiltrating Lymphocytes With a Resident Memory Phenotype in NSCLC. Frontiers in Immunology. 9. 2654–2654. 93 indexed citations

8.

Jongsma, Marlieke L.M., Ilana Berlin, Ruud H. Wijdeven, et al.. (2016). An ER-Associated Pathway Defines Endosomal Architecture for Controlled Cargo Transport. Cell. 166(1). 152–166. 170 indexed citations

9.

Droog, Marjolein, Mark Mensink, & Wilbert Zwart. (2016). The Estrogen Receptor α-Cistrome Beyond Breast Cancer. Molecular Endocrinology. 30(10). 1046–1058. 17 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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