Matthias Bödding

42 total papers · 1.1k total citations
23 papers, 884 citations indexed

About

Matthias Bödding is a scholar working on Molecular Biology, Sensory Systems and Cellular and Molecular Neuroscience. According to data from OpenAlex, Matthias Bödding has authored 23 papers receiving a total of 884 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 12 papers in Sensory Systems and 7 papers in Cellular and Molecular Neuroscience. Recurrent topics in Matthias Bödding's work include Ion channel regulation and function (14 papers), Ion Channels and Receptors (12 papers) and Neuroscience and Neuropharmacology Research (3 papers). Matthias Bödding is often cited by papers focused on Ion channel regulation and function (14 papers), Ion Channels and Receptors (12 papers) and Neuroscience and Neuropharmacology Research (3 papers). Matthias Bödding collaborates with scholars based in Germany, Switzerland and United Kingdom. Matthias Bödding's co-authors include Veit Flockerzi, Ulrich Wissenbach, Marc Freichel, Claudia Fecher‐Trost, G. Droogmans, Jean Prenen, Bernd Nilius, Reinhold Penner, Jenny Olausson and Wolfgang Nastainczyk and has published in prestigious journals such as Journal of Biological Chemistry, FEBS Letters and Biophysical Journal.

In The Last Decade

Matthias Bödding

23 papers receiving 876 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 Bödding 684 363 230 216 110 23 884
Jörg Eisfeld 583 0.9× 434 1.2× 182 0.8× 191 0.9× 123 1.1× 16 1.0k
Stefanie Mannebach 491 0.7× 351 1.0× 184 0.8× 178 0.8× 79 0.7× 14 773
Ryuichi Takezawa 407 0.6× 324 0.9× 175 0.8× 146 0.7× 89 0.8× 10 754
Hua Li 394 0.6× 330 0.9× 259 1.1× 181 0.8× 117 1.1× 35 879
Yevgen Yudin 503 0.7× 379 1.0× 140 0.6× 282 1.3× 75 0.7× 27 847
Malika Faouzi 503 0.7× 456 1.3× 250 1.1× 138 0.6× 140 1.3× 16 937
Daisuke Kozai 645 0.9× 338 0.9× 108 0.5× 216 1.0× 91 0.8× 13 1.0k
Amrita Samanta 512 0.7× 410 1.1× 139 0.6× 179 0.8× 127 1.2× 10 837
Itzel Llorente 488 0.7× 359 1.0× 122 0.5× 213 1.0× 66 0.6× 15 777
Brett Boonen 515 0.8× 189 0.5× 130 0.6× 195 0.9× 77 0.7× 19 869

Countries citing papers authored by Matthias Bödding

Since Specialization
Citations

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

Fields of papers citing papers by Matthias Bödding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthias Bödding

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