Daniel Tapken

1.1k citations
26 papers · 938 · h-index 17

Impact in

Papers in

    • Neuroscience and Neuropharmacology Research 13
    • Photoreceptor and optogenetics research 4
    • Neuroscience and Neural Engineering 3
    • Ion channel regulation and function 10
    • Lipid Membrane Structure and Behavior 2

Daniel Tapken

26 papers receiving 924 citations

Peers

Daniel Tapken
Comparison fields: 5 of 80
  • Cellular and Molecular Neuroscience 360
  • Biological Psychiatry 34
  • Neurology 171
  • Cardiology and Cardiovascular Medicine 146
  • Molecular Biology 451
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Citations per field
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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 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016115
2 201398
3 200885
4 200877
5 201870
6 201166
7 201455
8 200845
9 200842
10 201239
11 201333
12 201429
13 202027
14 202324
15 201622
16 201519
17 201119
18 201717
19 202213
20 200910

About Daniel Tapken

Daniel Tapken is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Cardiology and Cardiovascular Medicine, Neurology and Biochemistry, having authored 26 papers that have together received 938 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (13 papers), Ion channel regulation and function (10 papers), Cardiac electrophysiology and arrhythmias (5 papers), Photoreceptor and optogenetics research (4 papers), Neuroscience and Neural Engineering (3 papers), Autoimmune Neurological Disorders and Treatments (3 papers), Genetics and Neurodevelopmental Disorders (3 papers) and Lipid Membrane Structure and Behavior (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (360 citations), Biological Psychiatry (34 citations), Neurology (171 citations), Cardiology and Cardiovascular Medicine (146 citations) and Molecular Biology (451 citations). Daniel Tapken has collaborated with scholars based in Germany, Denmark and France. Frequent co-authors include Michael Hollmann, Guiscard Seebohm, Nathalie Strutz‐Seebohm, Dirk Becker, Lai-Hua Liu, Eva Wrobel, Bernard Attali, Markus Werner, Esther Castillo-Gómez and Harald Prüß. Their work appears in journals such as Molecular Psychiatry, Membranes, Neuroscience, Channels and The FASEB Journal.

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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