Daniel Tapken

1.1k total citations
22 papers, 762 citations indexed

About

Daniel Tapken is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Daniel Tapken has authored 22 papers receiving a total of 762 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 16 papers in Cellular and Molecular Neuroscience and 5 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Daniel Tapken's work include Neuroscience and Neuropharmacology Research (12 papers), Ion channel regulation and function (10 papers) and Cardiac electrophysiology and arrhythmias (5 papers). Daniel Tapken is often cited by papers focused on Neuroscience and Neuropharmacology Research (12 papers), Ion channel regulation and function (10 papers) and Cardiac electrophysiology and arrhythmias (5 papers). Daniel Tapken collaborates with scholars based in Germany, Denmark and France. Daniel Tapken's co-authors include Michael Hollmann, Guiscard Seebohm, Nathalie Strutz‐Seebohm, Lai-Hua Liu, Dirk Becker, Bernard Attali, Markus Werner, Raphael Stoll, Klaus Gerwert and Steffen Wolf and has published in prestigious journals such as Journal of Molecular Biology, Circulation Research and Scientific Reports.

In The Last Decade

Daniel Tapken

22 papers receiving 756 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel Tapken Germany 16 438 335 152 142 93 22 762
Hans Moldenhauer United States 11 344 0.8× 313 0.9× 44 0.3× 90 0.6× 43 0.5× 29 633
G. N. Mozhayeva Russia 20 1.1k 2.6× 816 2.4× 99 0.7× 144 1.0× 28 0.3× 48 1.6k
Janette Mezeyova Canada 10 697 1.6× 620 1.9× 28 0.2× 145 1.0× 47 0.5× 14 997
Mirko Hechenberger Germany 12 921 2.1× 381 1.1× 380 2.5× 224 1.6× 19 0.2× 13 1.2k
Giovanni Zifarelli Spain 20 894 2.0× 330 1.0× 136 0.9× 219 1.5× 14 0.2× 38 1.2k
Georg Rast Germany 15 325 0.7× 338 1.0× 17 0.1× 78 0.5× 63 0.7× 29 697
Renza Roncarati Italy 22 813 1.9× 262 0.8× 170 1.1× 83 0.6× 8 0.1× 31 1.1k
Douglas S. Krafte United States 12 814 1.9× 540 1.6× 23 0.2× 255 1.8× 37 0.4× 21 993
Ivy E. Dick United States 18 1.1k 2.5× 514 1.5× 39 0.3× 613 4.3× 41 0.4× 37 1.4k
Jill B. Jensen United States 10 704 1.6× 497 1.5× 74 0.5× 65 0.5× 16 0.2× 14 1.3k

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-authorship network of co-authors of Daniel Tapken

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Tapken. A scholar is included among the top collaborators of Daniel Tapken 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 Daniel Tapken. Daniel Tapken is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Gutti, Gopichand, Kakarla Ramakrishna, Ankit Ganeshpurkar, et al.. (2023). Discovery of triazole-bridged aryl adamantane analogs as an intriguing class of multifunctional agents for treatment of Alzheimer's disease. European Journal of Medicinal Chemistry. 259. 115670–115670. 22 indexed citations
2.
Laulumaa, Saara, et al.. (2022). Differences between the GluD1 and GluD2 receptors revealed by GluD1 X‐ray crystallography, binding studies and molecular dynamics. FEBS Journal. 290(15). 3781–3801. 10 indexed citations
3.
Borycz, Janusz, J Borycz, Daniel Tapken, et al.. (2018). Location and functions of Inebriated in theDrosophilaeye. Biology Open. 7(7). 1 indexed citations
4.
Tapken, Daniel, et al.. (2017). The low binding affinity of D-serine at the ionotropic glutamate receptor GluD2 can be attributed to the hinge region. Scientific Reports. 7(1). 46145–46145. 17 indexed citations
5.
Castillo-Gómez, Esther, Bárbara Oliveira, Daniel Tapken, et al.. (2016). All naturally occurring autoantibodies against the NMDA receptor subunit NR1 have pathogenic potential irrespective of epitope and immunoglobulin class. Molecular Psychiatry. 22(12). 1776–1784. 102 indexed citations
6.
7.
Krogsgaard‐Larsen, Niels, Charlotte Møller, Charles S. Demmer, et al.. (2015). Structure–Activity Relationship Study of Ionotropic Glutamate Receptor Antagonist (2S,3R)-3-(3-Carboxyphenyl)pyrrolidine-2-carboxylic Acid. Journal of Medicinal Chemistry. 58(15). 6131–6150. 18 indexed citations
8.
Tapken, Daniel, et al.. (2014). Trafficking of Kainate Receptors. Membranes. 4(3). 565–595. 29 indexed citations
9.
Tapken, Daniel, et al.. (2013). The delta subfamily of glutamate receptors: characterization of receptor chimeras and mutants. European Journal of Neuroscience. 37(10). 1620–1630. 31 indexed citations
10.
Tapken, Daniel, et al.. (2013). A Plant Homolog of Animal Glutamate Receptors Is an Ion Channel Gated by Multiple Hydrophobic Amino Acids. Science Signaling. 6(279). ra47–ra47. 90 indexed citations
11.
Tapken, Daniel, et al.. (2012). The KCNE Tango – How KCNE1 Interacts with Kv7.1. Frontiers in Pharmacology. 3. 142–142. 35 indexed citations
12.
Tapken, Daniel, et al.. (2012). Systematics and phylogenetic species delimitation within Polinices s.l. (Caenogastropoda: Naticidae) based on molecular data and shell morphology. Organisms Diversity & Evolution. 12(4). 349–375. 8 indexed citations
13.
Strutz‐Seebohm, Nathalie, Michael Pusch, Steffen Wolf, et al.. (2011). Structural Basis of Slow Activation Gating in the Cardiac <i>I</i><sub>Ks</sub> Channel Complex. Cellular Physiology and Biochemistry. 27(5). 443–452. 62 indexed citations
14.
Seebohm, Guiscard, Nathalie Strutz‐Seebohm, Oana Ursu, et al.. (2011). Altered stress stimulation of inward rectifier potassium channels in Andersen‐Tawil syndrome. The FASEB Journal. 26(2). 513–522. 19 indexed citations
15.
Tapken, Daniel, et al.. (2010). The C-terminal domains of TARPs: Unexpectedly versatile domains. Channels. 4(3). 155–158. 3 indexed citations
16.
Körber, Christoph, et al.. (2009). Oligomerization in the endoplasmic reticulum and intracellular trafficking of kainate receptors are subunit‐dependent but not editing‐dependent. Journal of Neurochemistry. 113(6). 1403–1415. 10 indexed citations
17.
Strutz‐Seebohm, Nathalie, et al.. (2009). Serum- and Glucocorticoid-inducible Kinases (SGK) regulate KCNQ1/KCNE potassium channels. Channels. 3(2). 88–90. 9 indexed citations
18.
19.
Tapken, Daniel & Michael Hollmann. (2008). Arabidopsis thaliana Glutamate Receptor Ion Channel Function Demonstrated by Ion Pore Transplantation. Journal of Molecular Biology. 383(1). 36–48. 69 indexed citations
20.
Tapken, Daniel, et al.. (2008). Functional modulation of AMPA receptors by transmembrane AMPA receptor regulatory proteins. Neuroscience. 158(1). 45–54. 42 indexed citations

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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