Katharine E. Askew

12 total papers · 1.8k total citations
7 papers, 981 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 981 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, Spain and Germany. Katharine E. Askew's co-authors include Diego Gómez‐Nicola, V. Hugh Perry, Adrián Olmos‐Alonso, Renzo Mancuso, Christian Hölscher, Sarmi Sri, Sjoerd Schetters, Mariana Vargas‐Caballero, Amanda Sierra and Kristoffer Riecken and has published in prestigious journals such as Brain, Cell Reports and Glia.

In The Last Decade

Katharine E. Askew

7 papers receiving 967 citations

Hit Papers

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

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Katharine E. Askew 795 455 268 151 148 7 981
Sol Beccari 765 1.0× 411 0.9× 152 0.6× 148 1.0× 257 1.7× 5 975
Zuolin Cheng 640 0.8× 354 0.8× 133 0.5× 207 1.4× 124 0.8× 9 857
Divya Raj 855 1.1× 434 1.0× 376 1.4× 272 1.8× 132 0.9× 14 1.2k
Faten A. Sayed 574 0.7× 239 0.5× 329 1.2× 168 1.1× 86 0.6× 9 860
Sarah B. Matousek 551 0.7× 223 0.5× 237 0.9× 184 1.2× 93 0.6× 9 846
Phi T. Nguyen 595 0.7× 347 0.8× 142 0.5× 228 1.5× 173 1.2× 7 1.0k
Leah C. Dorman 637 0.8× 351 0.8× 133 0.5× 167 1.1× 183 1.2× 8 963
Kathleen Grabert 911 1.1× 507 1.1× 233 0.9× 272 1.8× 146 1.0× 16 1.2k
Amy Adair 602 0.8× 394 0.9× 164 0.6× 229 1.5× 109 0.7× 7 846
Dylan Skola 708 0.9× 502 1.1× 190 0.7× 334 2.2× 114 0.8× 10 1.1k

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

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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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