Kati L. Healey

28 total papers · 783 total citations
22 papers, 562 citations indexed

About

Kati L. Healey is a scholar working on Cellular and Molecular Neuroscience, Neurology and Cognitive Neuroscience. According to data from OpenAlex, Kati L. Healey has authored 22 papers receiving a total of 562 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cellular and Molecular Neuroscience, 11 papers in Neurology and 5 papers in Cognitive Neuroscience. Recurrent topics in Kati L. Healey's work include Neuroinflammation and Neurodegeneration Mechanisms (11 papers), Neuroscience and Neuropharmacology Research (10 papers) and Neurotransmitter Receptor Influence on Behavior (5 papers). Kati L. Healey is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (11 papers), Neuroscience and Neuropharmacology Research (10 papers) and Neurotransmitter Receptor Influence on Behavior (5 papers). Kati L. Healey collaborates with scholars based in United States and Canada. Kati L. Healey's co-authors include Kathryn J. Reissner, Marian T. Sepulveda-Orengo, Ronald Kim, H. Scott Swartzwelder, Michael D. Scofield, Erika E. Forbes, Peter W. Kalivas, Benjamin M. Siemsen, Hao Li and Heather A. Boger and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Biological Psychiatry.

In The Last Decade

Kati L. Healey

22 papers receiving 560 citations

Author Peers

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

Author Last Decade Papers Cites
Kati L. Healey 302 211 139 128 127 22 562
Adeline Etiévant 371 1.2× 105 0.5× 139 1.0× 160 1.3× 126 1.0× 30 683
Alexandre Foncelle 265 0.9× 109 0.5× 122 0.9× 126 1.0× 133 1.0× 14 506
Vincent Van Waes 319 1.1× 169 0.8× 204 1.5× 80 0.6× 66 0.5× 30 677
Neng-Yuan Hu 239 0.8× 137 0.6× 136 1.0× 112 0.9× 92 0.7× 15 522
Anupam Sah 301 1.0× 123 0.6× 238 1.7× 167 1.3× 96 0.8× 18 657
Federica Klaus 110 0.4× 206 1.0× 108 0.8× 102 0.8× 148 1.2× 32 645
Laura Pérez-Caballero 211 0.7× 106 0.5× 92 0.7× 82 0.6× 190 1.5× 19 585
Máté Marosi 221 0.7× 159 0.8× 81 0.6× 153 1.2× 181 1.4× 22 568
Christa Hercher 184 0.6× 171 0.8× 98 0.7× 107 0.8× 237 1.9× 10 539
Reesha R. Patel 282 0.9× 180 0.9× 109 0.8× 185 1.4× 139 1.1× 24 647

Countries citing papers authored by Kati L. Healey

Since Specialization
Citations

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

Fields of papers citing papers by Kati L. Healey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kati L. Healey. 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 Kati L. Healey. The network helps show where Kati L. Healey may publish in the future.

Co-authorship network of co-authors of Kati L. Healey

This figure shows the co-authorship network connecting the top 25 collaborators of Kati L. Healey. A scholar is included among the top collaborators of Kati L. Healey 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 Kati L. Healey. Kati L. Healey 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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