Felicitas Becker

61 total papers · 6.2k total citations
12 papers, 249 citations indexed

About

Felicitas Becker is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Rheumatology. According to data from OpenAlex, Felicitas Becker has authored 12 papers receiving a total of 249 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 3 papers in Rheumatology. Recurrent topics in Felicitas Becker's work include Ion channel regulation and function (3 papers), Epilepsy research and treatment (3 papers) and Neuroscience and Neural Engineering (3 papers). Felicitas Becker is often cited by papers focused on Ion channel regulation and function (3 papers), Epilepsy research and treatment (3 papers) and Neuroscience and Neural Engineering (3 papers). Felicitas Becker collaborates with scholars based in Germany, United States and Australia. Felicitas Becker's co-authors include Yvonne Weber, Holger Lerche, Wolfram S. Kunz, Julian Schubert, Kerstin Hallmann, Christian E. Elger, Thomas Sander, Peter Nürnberg, Gábor Zsurka and Stephan Lauxmann and has published in prestigious journals such as ACS Nano, Brain and Neurology.

In The Last Decade

Felicitas Becker

9 papers receiving 247 citations

Author Peers

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

Author Last Decade Papers Cites
Felicitas Becker 143 85 66 55 45 12 249
Martino Montomoli 165 1.2× 91 1.1× 75 1.1× 39 0.7× 87 1.9× 11 297
Sadeq Haouzir 160 1.1× 52 0.6× 56 0.8× 78 1.4× 13 0.3× 13 285
Mie Kubota‐Sakashita 175 1.2× 47 0.6× 50 0.8× 67 1.2× 40 0.9× 15 303
David Lewis‐Smith 194 1.4× 79 0.9× 49 0.7× 54 1.0× 37 0.8× 18 286
Julian Schubert 107 0.7× 73 0.9× 79 1.2× 65 1.2× 33 0.7× 9 216
Livia Pisciotta 102 0.7× 46 0.5× 30 0.5× 24 0.4× 23 0.5× 21 165
Laila Cigana Schenkel 128 0.9× 23 0.3× 55 0.8× 74 1.3× 41 0.9× 9 314
M. Yoshimura 111 0.8× 71 0.8× 45 0.7× 99 1.8× 9 0.2× 9 330
Agnès Gautier 121 0.8× 136 1.6× 129 2.0× 50 0.9× 33 0.7× 14 294
Sonal Mahida 92 0.6× 122 1.4× 60 0.9× 17 0.3× 16 0.4× 13 205

Countries citing papers authored by Felicitas Becker

Since Specialization
Citations

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

Fields of papers citing papers by Felicitas Becker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Felicitas Becker

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