Matthias Gerberding

20 total papers · 729 total citations
12 papers, 548 citations indexed

About

Matthias Gerberding is a scholar working on Cellular and Molecular Neuroscience, Genetics and Molecular Biology. According to data from OpenAlex, Matthias Gerberding has authored 12 papers receiving a total of 548 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cellular and Molecular Neuroscience, 5 papers in Genetics and 3 papers in Molecular Biology. Recurrent topics in Matthias Gerberding's work include Neurobiology and Insect Physiology Research (5 papers), Insect and Arachnid Ecology and Behavior (4 papers) and Marine Ecology and Invasive Species (2 papers). Matthias Gerberding is often cited by papers focused on Neurobiology and Insect Physiology Research (5 papers), Insect and Arachnid Ecology and Behavior (4 papers) and Marine Ecology and Invasive Species (2 papers). Matthias Gerberding collaborates with scholars based in Germany, United States and Slovenia. Matthias Gerberding's co-authors include Gerhard Scholtz, Nipam H. Patel, William E. Browne, Alivia Lee Price, Beate Mittmann, Jo Havemann, Günes Özhan, Mitchell P. Levesque, Florian Battke and Randolf Menzel and has published in prestigious journals such as PLoS ONE, Development and Developmental Biology.

In The Last Decade

Matthias Gerberding

12 papers receiving 538 citations

Author Peers

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

Author Last Decade Papers Cites
Matthias Gerberding 219 175 172 126 119 12 548
Carlo Brena 241 1.1× 86 0.5× 84 0.5× 125 1.0× 76 0.6× 19 533
Bruno C. Vellutini 283 1.3× 117 0.7× 70 0.4× 71 0.6× 119 1.0× 17 583
Terri A. Williams 236 1.1× 114 0.7× 109 0.6× 128 1.0× 73 0.6× 28 602
Karl Georg Wingstrand 140 0.6× 139 0.8× 75 0.4× 68 0.5× 44 0.4× 18 521
Néva P. Meyer 388 1.8× 104 0.6× 87 0.5× 54 0.4× 84 0.7× 27 600
G. Pass 167 0.8× 142 0.8× 109 0.6× 227 1.8× 93 0.8× 9 571
Antje Fischer 267 1.2× 100 0.6× 77 0.4× 45 0.4× 112 0.9× 16 548
Markus Conzelmann 192 0.9× 111 0.6× 358 2.1× 63 0.5× 39 0.3× 10 590
Marijan Posavi 133 0.6× 202 1.2× 96 0.6× 145 1.2× 76 0.6× 18 555
Hirotoshi Endo 126 0.6× 229 1.3× 88 0.5× 46 0.4× 178 1.5× 28 617

Countries citing papers authored by Matthias Gerberding

Since Specialization
Citations

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

Fields of papers citing papers by Matthias Gerberding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthias Gerberding

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