Katharine E. Askew

1.9k total citations · 1 hit paper
7 papers, 990 citations indexed

About

Katharine E. Askew is a scholar working on Neurology, Immunology and Biological Psychiatry. According to data from OpenAlex, Katharine E. Askew has authored 7 papers receiving a total of 990 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Neurology, 5 papers in Immunology and 1 paper in Biological Psychiatry. Recurrent topics in Katharine E. Askew's work include Neuroinflammation and Neurodegeneration Mechanisms (7 papers), Immune cells in cancer (5 papers) and Neurological Disease Mechanisms and Treatments (3 papers). Katharine E. Askew is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (7 papers), Immune cells in cancer (5 papers) and Neurological Disease Mechanisms and Treatments (3 papers). Katharine E. Askew collaborates with scholars based in United Kingdom, Germany and Spain. Katharine E. Askew's co-authors include Diego Gómez‐Nicola, Adrián Olmos‐Alonso, V. Hugh Perry, Christian Hölscher, Renzo Mancuso, Sjoerd Schetters, Sarmi Sri, Mariana Vargas‐Caballero, Amanda Sierra and Kaizhen Li and has published in prestigious journals such as Brain, Cell Reports and Brain Behavior and Immunity.

In The Last Decade

Katharine E. Askew

7 papers receiving 976 citations

Hit Papers

Coupled Proliferation and... 2017 2026 2020 2023 2017 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Katharine E. Askew United Kingdom 6 806 459 271 152 148 7 990
Sol Beccari Spain 5 775 1.0× 412 0.9× 153 0.6× 148 1.0× 258 1.7× 5 982
Kathleen Grabert Sweden 10 918 1.1× 510 1.1× 233 0.9× 273 1.8× 146 1.0× 16 1.2k
Fabia Filipello Italy 13 596 0.7× 341 0.7× 187 0.7× 257 1.7× 150 1.0× 16 1.0k
Zuolin Cheng United States 5 650 0.8× 358 0.8× 135 0.5× 207 1.4× 127 0.9× 9 867
Lindsay A. Hohsfield United States 15 699 0.9× 301 0.7× 315 1.2× 229 1.5× 138 0.9× 23 1.1k
Elisa M. York Canada 12 626 0.8× 270 0.6× 160 0.6× 234 1.5× 111 0.8× 17 918
Julia Bruttger Germany 7 1.1k 1.3× 671 1.5× 186 0.7× 216 1.4× 254 1.7× 10 1.4k
Christina A. Welsh United States 9 659 0.8× 289 0.6× 180 0.7× 245 1.6× 168 1.1× 9 1.0k
Yanxia Rao China 11 612 0.8× 323 0.7× 95 0.4× 210 1.4× 177 1.2× 22 832
Bernice Matusow United States 5 1.2k 1.5× 584 1.3× 230 0.8× 210 1.4× 243 1.6× 13 1.4k

Countries citing papers authored by Katharine E. Askew

Since Specialization
Citations

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

Fields of papers citing papers by Katharine E. Askew

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katharine E. Askew

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

All Works

7 of 7 papers shown
1.
Greulich, Philip, Kristoffer Riecken, Boris Fehse, et al.. (2023). Microglia colonize the developing brain by clonal expansion of highly proliferative progenitors, following allometric scaling. Cell Reports. 42(5). 112425–112425. 20 indexed citations
2.
Askew, Katharine E., Stefan Szymkowiak, Owen Dando, et al.. (2023). Inhibiting CSF1R alleviates cerebrovascular white matter disease and cognitive impairment. Glia. 72(2). 375–395. 7 indexed citations
3.
Gómez‐Nicola, Diego, Gemma Fryatt, & Katharine E. Askew. (2019). Measuring Microglial Turnover in the Adult Brain. Methods in molecular biology. 2034. 207–215. 2 indexed citations
4.
López‐Atalaya, José P., Katharine E. Askew, Amanda Sierra, & Diego Gómez‐Nicola. (2017). Development and maintenance of the brain's immune toolkit: Microglia and non‐parenchymal brain macrophages. Developmental Neurobiology. 78(6). 561–579. 38 indexed citations
5.
Askew, Katharine E. & Diego Gómez‐Nicola. (2017). A story of birth and death: Insights into the formation and dynamics of the microglial population. Brain Behavior and Immunity. 69. 9–17. 37 indexed citations
6.
Askew, Katharine E., Kaizhen Li, Adrián Olmos‐Alonso, et al.. (2017). Coupled Proliferation and Apoptosis Maintain the Rapid Turnover of Microglia in the Adult Brain. Cell Reports. 18(2). 391–405. 504 indexed citations breakdown →
7.
Olmos‐Alonso, Adrián, Sjoerd Schetters, Sarmi Sri, et al.. (2016). Pharmacological targeting of CSF1R inhibits microglial proliferation and prevents the progression of Alzheimer’s-like pathology. Brain. 139(3). 891–907. 382 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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