Kathleen Grabert

2.4k total citations · 1 hit paper
16 papers, 1.2k citations indexed

About

Kathleen Grabert is a scholar working on Immunology, Neurology and Molecular Biology. According to data from OpenAlex, Kathleen Grabert has authored 16 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Immunology, 9 papers in Neurology and 3 papers in Molecular Biology. Recurrent topics in Kathleen Grabert's work include Neuroinflammation and Neurodegeneration Mechanisms (9 papers), Immune cells in cancer (7 papers) and Immune Response and Inflammation (4 papers). Kathleen Grabert is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (9 papers), Immune cells in cancer (7 papers) and Immune Response and Inflammation (4 papers). Kathleen Grabert collaborates with scholars based in Sweden, United Kingdom and United States. Kathleen Grabert's co-authors include Barry W. McColl, Tom C. Freeman, Mark P. Stevens, Kim Summers, J. Kenneth Baillie, Sara Clohisey, Tom Michoel, Michail H. Karavolos, Enrico Cancellotti and Jean Manson and has published in prestigious journals such as Nature Neuroscience, The Journal of Immunology and Journal of Virology.

In The Last Decade

Kathleen Grabert

15 papers receiving 1.2k citations

Hit Papers

Microglial brain region−dependent diversity and selective... 2016 2026 2019 2022 2016 250 500 750

Peers

Kathleen Grabert
Comparison fields: 5 of 79
  • Neurology 918
  • Immunology 510
  • Molecular Biology 273
  • Physiology 233
  • Cellular and Molecular Neuroscience 167
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Connor Dufort United States
Anthony Lyons Ireland
Julia Bruttger Germany
Frederick W. Gergits United States
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Bernice Matusow United States
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Jeroen Melief Netherlands
Marta Olah United States
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Citations per field, relative to Kathleen Grabert
Kathleen Grabert · 1×
Citations per year, relative to Kathleen Grabert
Kathleen Grabert · 1×

Countries citing papers authored by Kathleen Grabert

Since Specialization
Citations

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

Fields of papers citing papers by Kathleen Grabert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kathleen Grabert. 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 Kathleen Grabert. The network helps show where Kathleen Grabert may publish in the future.

Co-authorship network of co-authors of Kathleen Grabert

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

All Works

16 of 16 papers shown
# Work Indexed citations
1 0
2 7
3 2
4 7
5 11
6 9
7 20
8 60
9 4
10 61
11 33
12 47
13
Microglial brain region−dependent diversity and selective regional sensitivities to aging breakdown →
871
14 66
15 25
16 5

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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