Leah C. Fuller

25 total papers · 714 total citations
19 papers, 521 citations indexed

About

Leah C. Fuller is a scholar working on Molecular Biology, Neurology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Leah C. Fuller has authored 19 papers receiving a total of 521 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 5 papers in Neurology and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Leah C. Fuller's work include Neuroinflammation and Neurodegeneration Mechanisms (5 papers), RNA Research and Splicing (3 papers) and Signaling Pathways in Disease (2 papers). Leah C. Fuller is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (5 papers), RNA Research and Splicing (3 papers) and Signaling Pathways in Disease (2 papers). Leah C. Fuller collaborates with scholars based in United States, Venezuela and Argentina. Leah C. Fuller's co-authors include Michael E. Dailey, Joshua A. Weiner, Ruth Grossmann, Daniel J. Bonthius, Peter Bösch, Bahri Karaçay, Orlando J. Castejón, Nicholas S. Wilson, Darrell Wiens and Ukpong B. Eyo and has published in prestigious journals such as Neuron, Scientific Reports and PLoS Genetics.

In The Last Decade

Leah C. Fuller

18 papers receiving 508 citations

Author Peers

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

Author Last Decade Papers Cites
Leah C. Fuller 185 175 138 81 70 19 521
David Dubayle 145 0.8× 124 0.7× 105 0.8× 97 1.2× 38 0.5× 21 607
Esther Zeinstra 112 0.6× 198 1.1× 85 0.6× 127 1.6× 71 1.0× 13 453
Enida Kuric 113 0.6× 198 1.1× 117 0.8× 139 1.7× 47 0.7× 14 562
Francesco Boato 176 1.0× 104 0.6× 185 1.3× 114 1.4× 76 1.1× 13 545
Fang Li 200 1.1× 168 1.0× 128 0.9× 38 0.5× 177 2.5× 10 559
William Cao 253 1.4× 127 0.7× 70 0.5× 94 1.2× 38 0.5× 16 489
David G. Gonsalvez 177 1.0× 75 0.4× 149 1.1× 20 0.2× 143 2.0× 28 509
Mason L. Yeh 166 0.9× 97 0.6× 150 1.1× 74 0.9× 66 0.9× 14 475
Michael P. Fatt 256 1.4× 111 0.6× 116 0.8× 68 0.8× 178 2.5× 11 613
Hiromi Tamada 256 1.4× 140 0.8× 135 1.0× 59 0.7× 61 0.9× 15 504

Countries citing papers authored by Leah C. Fuller

Since Specialization
Citations

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

Fields of papers citing papers by Leah C. Fuller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leah C. Fuller. 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 Leah C. Fuller. The network helps show where Leah C. Fuller may publish in the future.

Co-authorship network of co-authors of Leah C. Fuller

This figure shows the co-authorship network connecting the top 25 collaborators of Leah C. Fuller. A scholar is included among the top collaborators of Leah C. Fuller 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 Leah C. Fuller. Leah C. Fuller 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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