Maaike van Zon

2.8k total citations · 1 hit paper
13 papers, 1.6k citations indexed

About

Maaike van Zon is a scholar working on Immunology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Maaike van Zon has authored 13 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 7 papers in Infectious Diseases and 6 papers in Epidemiology. Recurrent topics in Maaike van Zon's work include Tuberculosis Research and Epidemiology (7 papers), Mycobacterium research and diagnosis (6 papers) and Immune Response and Inflammation (4 papers). Maaike van Zon is often cited by papers focused on Tuberculosis Research and Epidemiology (7 papers), Mycobacterium research and diagnosis (6 papers) and Immune Response and Inflammation (4 papers). Maaike van Zon collaborates with scholars based in Netherlands, United States and France. Maaike van Zon's co-authors include Nicole N. van der Wel, Peter J. Peters, Jason Pierson, David L. Hava, Michael B. Brenner, Donna Fluitsma, Wilbert Bitter, Karin de Punder, Abdallah M. Abdallah and Nigel D. L. Savage and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Clinical Oncology.

In The Last Decade

Maaike van Zon

13 papers receiving 1.6k citations

Hit Papers

M. tuberculosis and M. leprae Translocate from the Phagol... 2007 2026 2013 2019 2007 200 400 600
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.

  1. M. tuberculosis and M. leprae Translocate from the Phagolysosome to the Cytosol in Myeloid Cells
    2007 734 citations Nicole N. van der Wel, David L. Hava et al. Cell profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maaike van Zon Netherlands 8 1.2k 976 493 445 221 13 1.6k
Kevin K. Takaki United States 10 775 0.7× 633 0.6× 426 0.9× 396 0.9× 193 0.9× 11 1.4k
Jiayong Xu United States 14 986 0.8× 798 0.8× 587 1.2× 338 0.8× 106 0.5× 18 1.4k
Jeff E. Grotzke United States 15 623 0.5× 554 0.6× 564 1.1× 323 0.7× 83 0.4× 21 1.2k
Jovanka Bestebroer Netherlands 17 751 0.6× 355 0.4× 501 1.0× 550 1.2× 99 0.4× 18 1.3k
Philip S. Renshaw United Kingdom 9 558 0.5× 407 0.4× 165 0.3× 301 0.7× 131 0.6× 11 813
Bingdong Zhu China 21 775 0.7× 434 0.4× 530 1.1× 554 1.2× 60 0.3× 65 1.3k
Peter Birk Rasmussen Denmark 8 725 0.6× 536 0.5× 374 0.8× 377 0.8× 62 0.3× 8 1.0k
Ainhoa Arbués France 16 769 0.7× 508 0.5× 352 0.7× 260 0.6× 80 0.4× 25 943
Andrés Baena Colombia 17 672 0.6× 620 0.6× 691 1.4× 464 1.0× 30 0.1× 29 1.5k
J. Bennedsen Denmark 16 941 0.8× 868 0.9× 326 0.7× 290 0.7× 44 0.2× 41 1.4k

Countries citing papers authored by Maaike van Zon

Since Specialization
Citations

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

Fields of papers citing papers by Maaike van Zon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maaike van Zon. 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 Maaike van Zon. The network helps show where Maaike van Zon may publish in the future.

Co-authorship network of co-authors of Maaike van Zon

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

All Works

13 of 13 papers shown
1.
Borch, Troels Holz, Maartje W. Rohaan, Inge Jedema, et al.. (2023). 57P Anatomical location of metastasis and composition of the final infusion product in metastatic melanoma (MM) patients treated with tumor-infiltrating lymphocytes (TIL). Immuno-Oncology Technology. 20. 100530–100530. 1 indexed citations
2.
Zon, Maaike van, Karin de Punder, Anita E. Grootemaat, et al.. (2021). IL-1R1-Dependent Signals Improve Control of Cytosolic Virulent Mycobacteria In Vivo. mSphere. 6(3). 4 indexed citations
3.
Matas-Rico, Elisa, Apostolos Menegakis, Maaike van Zon, et al.. (2021). Autotaxin impedes anti-tumor immunity by suppressing chemotaxis and tumor infiltration of CD8+ T cells. Cell Reports. 37(7). 110013–110013. 46 indexed citations
4.
Rohaan, Maartje W., Raquel Gomez-Eerland, Marnix H. Geukes Foppen, et al.. (2019). Results of a phase I trial with MART-1 T cell receptor modified T cells in patients with metastatic melanoma. Annals of Oncology. 30. v481–v482. 5 indexed citations
5.
Rohaan, Maartje W., Raquel Gomez-Eerland, Maaike van Zon, et al.. (2018). Multicenter phase I/IIa study using T cell receptor gene therapy in metastatic melanoma.. Journal of Clinical Oncology. 36(15_suppl). TPS9602–TPS9602. 1 indexed citations
6.
Zon, Maaike van, Karin de Punder, Roland Brosch, et al.. (2017). Subcellular localization of M. tuberculosis in vivo and effect of the adaptive immunity. Ultrastructural Pathology. 41(1). 133–133. 1 indexed citations
7.
Stoop, Esther J. M., Arun Kumar Mishra, Nicole N. Driessen, et al.. (2013). Mannan core branching of lipo(arabino)mannan is required for mycobacterial virulence in the context of innate immunity. Cellular Microbiology. 15(12). 2093–2108. 27 indexed citations
8.
Demangel, Caroline, Jakko van Ingen, Jorge Pérez, et al.. (2012). ESX‐1‐mediated translocation to the cytosol controls virulence of mycobacteria. Cellular Microbiology. 14(8). 1287–1298. 307 indexed citations
9.
Abdallah, Abdallah M., Jovanka Bestebroer, Nigel D. L. Savage, et al.. (2011). Mycobacterial Secretion Systems ESX-1 and ESX-5 Play Distinct Roles in Host Cell Death and Inflammasome Activation. The Journal of Immunology. 187(9). 4744–4753. 121 indexed citations
10.
Sani, Musa, Edith N. G. Houben, Jeroen Geurtsen, et al.. (2010). Direct Visualization by Cryo-EM of the Mycobacterial Capsular Layer: A Labile Structure Containing ESX-1-Secreted Proteins. PLoS Pathogens. 6(3). e1000794–e1000794. 222 indexed citations
11.
Hava, David L., Nicole N. van der Wel, Nadia Cohen, et al.. (2008). Evasion of peptide, but not lipid antigen presentation, through pathogen-induced dendritic cell maturation. Proceedings of the National Academy of Sciences. 105(32). 11281–11286. 43 indexed citations
12.
Abdallah, Abdallah M., Nigel D. L. Savage, Maaike van Zon, et al.. (2008). The ESX-5 Secretion System of Mycobacterium marinum Modulates the Macrophage Response. The Journal of Immunology. 181(10). 7166–7175. 120 indexed citations
13.
Wel, Nicole N. van der, David L. Hava, Donna Fluitsma, et al.. (2007). M. tuberculosis and M. leprae Translocate from the Phagolysosome to the Cytosol in Myeloid Cells. Cell. 129(7). 1287–1298. 734 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.

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