Anita E. Grootemaat

3.6k total citations · 2 hit papers
25 papers, 2.6k citations indexed

About

Anita E. Grootemaat is a scholar working on Molecular Biology, Immunology and Infectious Diseases. According to data from OpenAlex, Anita E. Grootemaat has authored 25 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 7 papers in Immunology and 5 papers in Infectious Diseases. Recurrent topics in Anita E. Grootemaat's work include Extracellular vesicles in disease (6 papers), Tuberculosis Research and Epidemiology (3 papers) and Mycobacterium research and diagnosis (3 papers). Anita E. Grootemaat is often cited by papers focused on Extracellular vesicles in disease (6 papers), Tuberculosis Research and Epidemiology (3 papers) and Mycobacterium research and diagnosis (3 papers). Anita E. Grootemaat collaborates with scholars based in Netherlands, United States and Germany. Anita E. Grootemaat's co-authors include Auguste Sturk, Edwin van der Pol, Rienk Nieuwland, Frank A. W. Coumans, Anita N. Böing, Yuana Yuana, Chris Gardiner, Ton G. van Leeuwen, Ian L. Sargent and Paul Harrison and has published in prestigious journals such as Nature Genetics, ACS Nano and PLoS ONE.

In The Last Decade

Anita E. Grootemaat

23 papers receiving 2.6k citations

Hit Papers

Single‐step isolation of extracellular vesicles by size‐e... 2014 2026 2018 2022 2014 2014 250 500 750

Peers

Anita E. Grootemaat
Anita E. Grootemaat
Citations per year, relative to Anita E. Grootemaat Anita E. Grootemaat (= 1×) peers Frank A. W. Coumans

Countries citing papers authored by Anita E. Grootemaat

Since Specialization
Citations

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

Fields of papers citing papers by Anita E. Grootemaat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anita E. Grootemaat. 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 Anita E. Grootemaat. The network helps show where Anita E. Grootemaat may publish in the future.

Co-authorship network of co-authors of Anita E. Grootemaat

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

All Works

20 of 20 papers shown
1.
Hooff, Sander R. van, Anita E. Grootemaat, Monique A.J. van Eijndhoven, et al.. (2025). Mesenchymal Colorectal Cancers Secrete Vesicles With Unique Cargo That Can Be Used for Liquid Biopsy Based Diagnostics. Journal of Extracellular Vesicles. 14(11). e70171–e70171.
2.
Bleijerveld, Onno B., Désirée Schatton, Anita E. Grootemaat, et al.. (2025). Cytidine diphosphate diacylglycerol synthase 2 is a synthetic lethal target in mesenchymal-like cancers. Nature Genetics. 57(7). 1659–1671.
3.
Goulding, Richie P., Braeden T. Charlton, Mark van der Laan, et al.. (2024). Skeletal muscle mitochondrial fragmentation predicts age‐associated decline in physical capacity. Aging Cell. 24(2). e14386–e14386. 2 indexed citations
4.
Guo, Lihui, A. Marceline van Furth, Nicole N. van der Wel, et al.. (2024). Marked IDO2 expression and activity related to autophagy and apoptosis in brain tissue of fatal tuberculous meningitis. Tuberculosis. 146. 102495–102495. 4 indexed citations
5.
Charlton, Braeden T., Alessandra Bosutti, Bergita Ganse, et al.. (2024). The impact of bed rest on human skeletal muscle metabolism. Cell Reports Medicine. 5(1). 101372–101372. 19 indexed citations
6.
Grootemaat, Anita E., et al.. (2023). Nucleocapsid protein accumulates in renal tubular epithelium of a post-COVID-19 patient. Microbiology Spectrum. 11(6). e0302923–e0302923. 4 indexed citations
7.
Grootemaat, Anita E., et al.. (2022). Transfer dynamics of multi-resistance plasmids in Escherichia coli isolated from meat. PLoS ONE. 17(7). e0270205–e0270205. 6 indexed citations
8.
Grootemaat, Anita E., Eva Roos, Bernadette Schurink, et al.. (2022). Lipid and Nucleocapsid N-Protein Accumulation in COVID-19 Patient Lung and Infected Cells. Microbiology Spectrum. 10(1). e0127121–e0127121. 16 indexed citations
9.
Guo, Shanshan, Ewout Foppen, Nikita L. Korpel, et al.. (2022). Specific Silencing of Microglial Gene Expression in the Rat Brain by Nanoparticle-Based Small Interfering RNA Delivery. ACS Applied Materials & Interfaces. 14(4). 5066–5079. 18 indexed citations
10.
Kluza, Ewelina, Thijs J. Beldman, Annelie Shami, et al.. (2021). Diverse ultrastructural landscape of atherosclerotic endothelium. Atherosclerosis. 339. 35–45. 9 indexed citations
11.
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
12.
Wijk, Anne‐Eva van der, Judith de Vos, Anita E. Grootemaat, et al.. (2019). Extravasation of Microspheres in a Rat Model of Silent Brain Infarcts. Stroke. 50(6). 1590–1594. 16 indexed citations
13.
Beldman, Thijs J., Tsveta S. Malinova, Emilie Desclos, et al.. (2019). Nanoparticle-Aided Characterization of Arterial Endothelial Architecture during Atherosclerosis Progression and Metabolic Therapy. ACS Nano. 13(12). 13759–13774. 84 indexed citations
14.
Michailidou, Iliana, Aldo Jongejan, Jeroen Vreijling, et al.. (2018). Systemic inhibition of the membrane attack complex impedes neuroinflammation in chronic relapsing experimental autoimmune encephalomyelitis. Acta Neuropathologica Communications. 6(1). 36–36. 40 indexed citations
15.
Grootemaat, Anita E., Jakub Kochan, Przemek M. Krawczyk, et al.. (2018). Interfering With DNA Decondensation as a Strategy Against Mycobacteria. Frontiers in Microbiology. 9. 2034–2034. 10 indexed citations
16.
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
17.
Varga, Zoltán, Yuana Yuana, Anita E. Grootemaat, et al.. (2014). Towards traceable size determination of extracellular vesicles. Journal of Extracellular Vesicles. 3(1). 208 indexed citations
18.
Pol, Edwin van der, Frank A. W. Coumans, Anita E. Grootemaat, et al.. (2014). Particle size distribution of exosomes and microvesicles determined by transmission electron microscopy, flow cytometry, nanoparticle tracking analysis, and resistive pulse sensing. Journal of Thrombosis and Haemostasis. 12(7). 1182–1192. 710 indexed citations breakdown →
19.
Rijsingen, Ingrid A.W. van, Annemieke Bakker, J.F. Hermans-van Ast, et al.. (2012). Lamin A/C mutation is independently associated with an increased risk of arterial and venous thromboembolic complications. International Journal of Cardiology. 168(1). 472–477. 30 indexed citations
20.
Jennen, Danyel, R.P.M.A. Crooijmans, Mireille Morisson, et al.. (2004). A radiation hybrid map of chicken chromosome 15. Animal Genetics. 35(1). 63–65. 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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