Daniel Tapken

1.1k citations
22 papers · 803 · h-index 16

Impact in

Papers in

Daniel Tapken

22 papers receiving 794 citations

Peers

Daniel Tapken
Comparison fields: 5 of 74
  • Cellular and Molecular Neuroscience 334
  • Biological Psychiatry 18
  • Cardiology and Cardiovascular Medicine 140
  • Neurology 88
  • Molecular Biology 431
Replace Hans Moldenhauer with:
Hans Moldenhauer Chile
Mirko Hechenberger Germany
Wendy O. Adamowicz United States
Haitao You Canada
Étienne Hébert-Chatelain Canada
Zhan Jiang United States
L. Michelle Lewis United States
Hannah Murdoch United Kingdom
Ian J. Orozco United States
Michiaki Nagasawa Japan
Daniel Tapken relative to Hans Moldenhauer Chile Hans Moldenhauer's profile →
Citations per field
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Hans Moldenhauer · 1×
Citations per year

Countries citing papers authored by Daniel Tapken

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Tapken

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel Tapken, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Tapken Line = papers co-authored together Daniel Tapken links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016104
2 201395
3 200882
4 200872
5 201163
6 201455
7 200844
8 200842
9 201237
10 201333
11 201429
12 202323
13 201622
14 201119
15 201519
16 201717
17 202213
18 200911
19 200910
20 20128

About Daniel Tapken

Daniel Tapken is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine, Spectroscopy and Biochemistry, having authored 22 papers that have together received 803 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (12 papers), Ion channel regulation and function (10 papers), Cardiac electrophysiology and arrhythmias (5 papers), Neuroscience and Neural Engineering (3 papers), Photoreceptor and optogenetics research (3 papers), Amino Acid Enzymes and Metabolism (2 papers), Molecular Sensors and Ion Detection (2 papers) and GABA and Rice Research (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (334 citations), Biological Psychiatry (18 citations), Cardiology and Cardiovascular Medicine (140 citations), Neurology (88 citations) and Molecular Biology (431 citations). Daniel Tapken has collaborated with scholars based in Germany, Denmark and Russia. Frequent co-authors include Michael Hollmann, Guiscard Seebohm, Nathalie Strutz‐Seebohm, Lai-Hua Liu, Dirk Becker, Bernard Attali, Markus Werner, Raphael Stoll, Michael Pusch and Steffen Wolf. Their work appears in journals such as Channels, Neuroscience, Membranes, Frontiers in Pharmacology and Biology Open.

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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