Nieske Brouwer
- Neurology top 0.1%
- Immunology top 2%
- Molecular Biology top 10%
- Physiology top 2%
- Cellular and Molecular Neuroscience top 2%
- Co-authors
- Bart J. L. EggenKnut BiberHendrikus BoddekeErik BoddekeJ.C.V.M. CoprayThomas MöllerInge R. HoltmanJonathan Vinet
- Topics
- Neuroinflammation and Neurodegeneration Mechanisms (38 papers)Immune cells in cancer (17 papers)Immune Response and Inflammation (14 papers)
- Partner nations
- NetherlandsGermanyDenmark
In The Last Decade
Nieske Brouwer
62 papers receiving 4.4k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Neurology 2.7k
- Immunology 1.5k
- Molecular Biology 1.1k
- Physiology 971
- Cellular and Molecular Neuroscience 902
Countries citing papers authored by Nieske Brouwer
This map shows the geographic impact of Nieske Brouwer'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 Nieske Brouwer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nieske Brouwer more than expected).
Fields of papers citing papers by Nieske Brouwer
This network shows the impact of papers produced by Nieske Brouwer. 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 Nieske Brouwer. The network helps show where Nieske Brouwer may publish in the future.
Co-authorship network of co-authors of Nieske Brouwer
This figure shows the co-authorship network connecting the top 25 collaborators of Nieske Brouwer. A scholar is included among the top collaborators of Nieske Brouwer 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 Nieske Brouwer. Nieske Brouwer 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 | 43 | |
| 3 | 41 | |
| 4 | Distinct amyloid-β and tau-associated microglia profiles in Alzheimer’s diseasebreakdown → | 207 |
| 5 | 32 | |
| 6 | 127 | |
| 7 | 51 | |
| 8 | 99 | |
| 9 | Transcriptomic analysis of purified human cortical microglia reveals age-associated changesbreakdown → | 510 |
| 10 | 41 | |
| 11 | Glia Open Access Database (GOAD): A comprehensive gene expression encyclopedia of glia cells in health and disease | 1 |
| 12 | Induction of a common microglia gene expression signature by aging and neurodegenerative conditions: a co-expression meta-analysisbreakdown → | 437 |
| 13 | 101 | |
| 14 | 223 | |
| 15 | 59 | |
| 16 | 71 | |
| 17 | 7 | |
| 18 | 7 | |
| 19 | 25 | |
| 20 | 21 |
About Nieske Brouwer
Nieske Brouwer is a scholar working on Neurology, Developmental Neuroscience and Immunology, having authored 64 papers that have together received 4.4k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (38 papers), Immune cells in cancer (17 papers) and Immune Response and Inflammation (14 papers). The work is most often cited by research in Neurology (2.7k citations), Biological Psychiatry (388 citations) and Developmental Neuroscience (630 citations). Nieske Brouwer has collaborated with scholars based in Netherlands, Germany and Denmark. Frequent co-authors include Bart J. L. Eggen, Knut Biber, Hendrikus Boddeke, Erik Boddeke, J.C.V.M. Copray, Thomas Möller, Inge R. Holtman, Jonathan Vinet, W. Schaafsma and Divya Raj. Their work appears in journals such as Science, Journal of Neuroscience and Nature Neuroscience.
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.