Loic Auderset

12 total papers · 460 total citations
9 papers, 319 citations indexed

About

Loic Auderset is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Developmental Neuroscience. According to data from OpenAlex, Loic Auderset has authored 9 papers receiving a total of 319 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 3 papers in Developmental Neuroscience. Recurrent topics in Loic Auderset's work include Neurogenesis and neuroplasticity mechanisms (3 papers), Signaling Pathways in Disease (2 papers) and MicroRNA in disease regulation (2 papers). Loic Auderset is often cited by papers focused on Neurogenesis and neuroplasticity mechanisms (3 papers), Signaling Pathways in Disease (2 papers) and MicroRNA in disease regulation (2 papers). Loic Auderset collaborates with scholars based in Australia, Germany and United States. Loic Auderset's co-authors include Kaylene M. Young, Carlie L. Cullen, Megan E. O’Rourke, Jennifer Rodger, Alexander D. Tang, Lisa Foa, Kimberley A. Pitman, Ben Emery, Anja Schneider and André Fischer and has published in prestigious journals such as PLoS ONE, Cell Reports and Glia.

In The Last Decade

Loic Auderset

8 papers receiving 317 citations

Author Peers

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

Author Last Decade Papers Cites
Loic Auderset 122 113 93 83 55 9 319
Ryusuke Suzuki 73 0.6× 145 1.3× 118 1.3× 98 1.2× 49 0.9× 17 356
D E Korzhevskiy 72 0.6× 139 1.2× 84 0.9× 96 1.2× 45 0.8× 12 346
Seulgi Noh 162 1.3× 91 0.8× 66 0.7× 117 1.4× 64 1.2× 8 332
Sachin S. Tiwari 115 0.9× 167 1.5× 60 0.6× 139 1.7× 86 1.6× 8 346
Samuel Heron 112 0.9× 164 1.5× 57 0.6× 126 1.5× 46 0.8× 9 316
Ronen Eavri 75 0.6× 155 1.4× 98 1.1× 143 1.7× 49 0.9× 7 359
Haley Peckham 74 0.6× 147 1.3× 176 1.9× 123 1.5× 29 0.5× 7 337
Li‐Pao Fang 89 0.7× 117 1.0× 72 0.8× 60 0.7× 61 1.1× 15 282
Jagroop Dhaliwal 84 0.7× 125 1.1× 157 1.7× 74 0.9× 27 0.5× 11 302
Nimmi Baby 154 1.3× 112 1.0× 59 0.6× 123 1.5× 63 1.1× 10 340

Countries citing papers authored by Loic Auderset

Since Specialization
Citations

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

Fields of papers citing papers by Loic Auderset

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Loic Auderset

This figure shows the co-authorship network connecting the top 25 collaborators of Loic Auderset. A scholar is included among the top collaborators of Loic Auderset 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 Loic Auderset. Loic Auderset 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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2026