Laura E. Kuil

46 total papers · 1.1k total citations
23 papers, 626 citations indexed

About

Laura E. Kuil is a scholar working on Neurology, Molecular Biology and Cell Biology. According to data from OpenAlex, Laura E. Kuil has authored 23 papers receiving a total of 626 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Neurology, 6 papers in Molecular Biology and 6 papers in Cell Biology. Recurrent topics in Laura E. Kuil's work include Neuroinflammation and Neurodegeneration Mechanisms (10 papers), Zebrafish Biomedical Research Applications (6 papers) and Neurogenesis and neuroplasticity mechanisms (5 papers). Laura E. Kuil is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (10 papers), Zebrafish Biomedical Research Applications (6 papers) and Neurogenesis and neuroplasticity mechanisms (5 papers). Laura E. Kuil collaborates with scholars based in Netherlands, United Kingdom and United States. Laura E. Kuil's co-authors include Tjakko J. van Ham, Herma C. van der Linde, Nynke Oosterhof, Mark H. G. Verheijen, John C. van Swieten, Elly M. Hol, Saskia M. Burm, Wilfred F. J. van IJcken, Robert F. Hevner and James T. Bennett and has published in prestigious journals such as PLoS ONE, Neuroscience & Biobehavioral Reviews and The American Journal of Human Genetics.

In The Last Decade

Laura E. Kuil

20 papers receiving 623 citations

Author Peers

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

Author Last Decade Papers Cites
Laura E. Kuil 365 255 186 158 86 23 626
Shoko Morita 258 0.7× 87 0.3× 191 1.0× 83 0.5× 102 1.2× 25 711
Sebastian Werneburg 309 0.8× 224 0.9× 331 1.8× 58 0.4× 113 1.3× 12 721
Yasmine Cantaut-Belarif 183 0.5× 86 0.3× 187 1.0× 111 0.7× 126 1.5× 19 614
Vassilis Stratoulias 339 0.9× 180 0.7× 153 0.8× 45 0.3× 61 0.7× 14 563
Rory Spence 204 0.6× 206 0.8× 140 0.8× 37 0.2× 110 1.3× 13 779
Charles‐Félix Calvo 183 0.5× 169 0.7× 291 1.6× 56 0.4× 126 1.5× 20 778
Ruth Calvente 516 1.4× 211 0.8× 277 1.5× 39 0.2× 117 1.4× 22 750
Saskia M. Burm 328 0.9× 258 1.0× 179 1.0× 28 0.2× 73 0.8× 20 593
Guanglei Hu 343 0.9× 210 0.8× 153 0.8× 41 0.3× 87 1.0× 20 589
Yoko Tohyama 409 1.1× 148 0.6× 199 1.1× 37 0.2× 149 1.7× 22 733

Countries citing papers authored by Laura E. Kuil

Since Specialization
Citations

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

Fields of papers citing papers by Laura E. Kuil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laura E. Kuil

This figure shows the co-authorship network connecting the top 25 collaborators of Laura E. Kuil. A scholar is included among the top collaborators of Laura E. Kuil 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 Laura E. Kuil. Laura E. Kuil 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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