Anita E. Grootemaat
- Molecular Biology top 5%
- Cancer Research top 1%
- Biomedical Engineering top 10%
- Immunology top 10%
- Immunology and Allergy top 5%
- Co-authors
- Auguste SturkEdwin van der PolRienk NieuwlandFrank A. W. CoumansAnita N. BöingYuana YuanaChris GardinerTon G. van Leeuwen
- Topics
- Extracellular vesicles in disease (6 papers)Tuberculosis Research and Epidemiology (3 papers)Mycobacterium research and diagnosis (3 papers)
- Journals
- Nature GeneticsACS NanoPLoS ONE
- Partner nations
- NetherlandsUnited StatesGermany
In The Last Decade
Anita E. Grootemaat
23 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Molecular Biology 2.2k
- Cancer Research 1.1k
- Biomedical Engineering 477
- Immunology 302
- Immunology and Allergy 174
Countries citing papers authored by Anita E. Grootemaat
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | 19 | |
| 6 | 4 | |
| 7 | 6 | |
| 8 | 16 | |
| 9 | 18 | |
| 10 | 9 | |
| 11 | 4 | |
| 12 | 16 | |
| 13 | 84 | |
| 14 | 40 | |
| 15 | 10 | |
| 16 | 1 | |
| 17 | 208 | |
| 18 | Particle size distribution of exosomes and microvesicles determined by transmission electron microscopy, flow cytometry, nanoparticle tracking analysis, and resistive pulse sensingbreakdown → | 710 |
| 19 | 30 | |
| 20 | 13 |
About Anita E. Grootemaat
Anita E. Grootemaat is a scholar working on Biological Psychiatry, Immunology and Infectious Diseases, having authored 25 papers that have together received 2.6k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (6 papers), Tuberculosis Research and Epidemiology (3 papers) and Mycobacterium research and diagnosis (3 papers). The work is most often cited by research in Cancer Research (1.1k citations), Molecular Biology (2.2k citations) and Immunology and Allergy (174 citations). Anita E. Grootemaat has collaborated with scholars based in Netherlands, United States and Germany. Frequent 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. Their work appears in journals such as Nature Genetics, ACS Nano and PLoS ONE.
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.