Marco Weiergräber

122 total papers · 2.7k total citations
65 papers, 1.4k citations indexed

About

Marco Weiergräber is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Marco Weiergräber has authored 65 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Cellular and Molecular Neuroscience, 37 papers in Molecular Biology and 17 papers in Cognitive Neuroscience. Recurrent topics in Marco Weiergräber's work include Neuroscience and Neuropharmacology Research (41 papers), Ion channel regulation and function (30 papers) and Cardiac electrophysiology and arrhythmias (14 papers). Marco Weiergräber is often cited by papers focused on Neuroscience and Neuropharmacology Research (41 papers), Ion channel regulation and function (30 papers) and Cardiac electrophysiology and arrhythmias (14 papers). Marco Weiergräber collaborates with scholars based in Germany, United States and Czechia. Marco Weiergräber's co-authors include Toni Schneider, Jürgen Hescheler, Margit Henry, Edward Perez‐Reyes, Asif N. Daud, Juan Carlos Gómora, Karl Broich, Neil Smyth, Anna Papazoglou and Alexey Pereverzev and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Marco Weiergräber

62 papers receiving 1.3k citations

Author Peers

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

Author Last Decade Papers Cites
Marco Weiergräber 811 808 222 204 197 65 1.4k
Michael Pasternack 963 1.2× 1.1k 1.4× 158 0.7× 246 1.2× 135 0.7× 36 1.7k
Laurent Ferron 557 0.7× 963 1.2× 163 0.7× 232 1.1× 425 2.2× 40 1.5k
Lawrence Elmer 839 1.0× 767 0.9× 165 0.7× 95 0.5× 240 1.2× 35 1.8k
Takashi Akasu 868 1.1× 726 0.9× 148 0.7× 108 0.5× 155 0.8× 131 1.3k
D. Bingmann 700 0.9× 824 1.0× 180 0.8× 69 0.3× 130 0.7× 90 1.6k
Chih‐Yung Tang 873 1.1× 888 1.1× 175 0.8× 241 1.2× 86 0.4× 46 1.5k
T.C. Cunnane 983 1.2× 1.1k 1.3× 98 0.4× 192 0.9× 239 1.2× 49 1.6k
Stéphane Doly 882 1.1× 617 0.8× 158 0.7× 101 0.5× 343 1.7× 43 1.6k
Yuanming Wu 823 1.0× 705 0.9× 311 1.4× 66 0.3× 141 0.7× 69 1.6k
Gül Erdemli 976 1.2× 801 1.0× 373 1.7× 113 0.6× 123 0.6× 39 1.6k

Countries citing papers authored by Marco Weiergräber

Since Specialization
Citations

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

Fields of papers citing papers by Marco Weiergräber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Weiergräber

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