Arnaud Muller

9 total papers · 1.3k total citations
7 papers, 893 citations indexed

About

Arnaud Muller is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Arnaud Muller has authored 7 papers receiving a total of 893 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cellular and Molecular Neuroscience, 4 papers in Molecular Biology and 2 papers in Cognitive Neuroscience. Recurrent topics in Arnaud Muller's work include Receptor Mechanisms and Signaling (4 papers), Neuroscience and Neural Engineering (3 papers) and Neuroscience and Neuropharmacology Research (3 papers). Arnaud Muller is often cited by papers focused on Receptor Mechanisms and Signaling (4 papers), Neuroscience and Neural Engineering (3 papers) and Neuroscience and Neuropharmacology Research (3 papers). Arnaud Muller collaborates with scholars based in United States, Canada and Germany. Arnaud Muller's co-authors include David Kleinfeld, Roger Y. Tsien, Per Magne Knutsen, John Y. Lin, Paul A. Slesinger, Victory Joseph, Palmer Taylor, Lee Schroeder, Oliver Griesbeck and Marco Mank and has published in prestigious journals such as Science, Nature Neuroscience and PLoS ONE.

In The Last Decade

Arnaud Muller

7 papers receiving 882 citations

Hit Papers

ReaChR: a red-shifted var... 2013 2026 2017 2021 2013 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Arnaud Muller 691 324 198 165 68 7 893
Ao Dong 430 0.6× 246 0.8× 187 0.9× 73 0.4× 53 0.8× 18 813
Jianzhi Zeng 536 0.8× 267 0.8× 151 0.8× 73 0.4× 53 0.8× 12 790
Stephanie Szobota 788 1.1× 454 1.4× 115 0.6× 82 0.5× 26 0.4× 14 1.0k
Katrin Feldbauer 617 0.9× 300 0.9× 183 0.9× 160 1.0× 44 0.6× 6 771
Valeria Zampini 407 0.6× 287 0.9× 316 1.6× 104 0.6× 51 0.8× 23 955
Michael Henninger 848 1.2× 198 0.6× 397 2.0× 147 0.9× 119 1.8× 24 1.0k
Dionnet L. Bhatti 563 0.8× 237 0.7× 262 1.3× 156 0.9× 82 1.2× 14 995
Jinjuan Cui 640 0.9× 457 1.4× 122 0.6× 70 0.4× 42 0.6× 7 741
AbdulRasheed A. Alabi 347 0.5× 532 1.6× 120 0.6× 96 0.6× 26 0.4× 7 888
Kaspar Podgorski 449 0.6× 327 1.0× 230 1.2× 151 0.9× 19 0.3× 17 889

Countries citing papers authored by Arnaud Muller

Since Specialization
Citations

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

Fields of papers citing papers by Arnaud Muller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arnaud Muller

This figure shows the co-authorship network connecting the top 25 collaborators of Arnaud Muller. A scholar is included among the top collaborators of Arnaud Muller 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 Arnaud Muller. Arnaud Muller 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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