Rüdiger Thul

32 papers receiving 549 citations

Peers

Rüdiger Thul
Comparison fields: 5 of 88
  • Cardiology and Cardiovascular Medicine 227
  • Statistical and Nonlinear Physics 122
  • Cellular and Molecular Neuroscience 116
  • Sensory Systems 28
  • Physiology 21
Replace J. M. Wagner with:
J. M. Wagner China
Seong Min Hwang South Korea
Yulia Timofeeva United Kingdom
Laura Solé Spain
A. A. Verveen Netherlands
Elizabeth J. Akin United States
Giacomo Raffaelli Italy
Philip Bittihn Germany
Daniel Sigg United States
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Rüdiger Thul relative to J. M. Wagner China J. M. Wagner's profile →
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Citations per year

Countries citing papers authored by Rüdiger Thul

Since Specialization
Citations

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

Fields of papers citing papers by Rüdiger Thul

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Rüdiger Thul, 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 Rüdiger Thul Line = papers co-authored together Rüdiger Thul links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010123
2 201179
3 201161
4 201245
5 200337
6 201825
7 201623
8 201819
9 201613
10 201513
11 201913
12 201112
13 201411
14 201411
15 201510
16 20179
17 20178
18 20188
19 20197
20 20216

About Rüdiger Thul

Rüdiger Thul is a scholar working on Molecular Biology, Cognitive Neuroscience, Statistical and Nonlinear Physics, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine, having authored 34 papers that have together received 564 indexed citations. Recurring topics across this work include stochastic dynamics and bifurcation (11 papers), Ion channel regulation and function (10 papers), Cardiac electrophysiology and arrhythmias (9 papers), Neural dynamics and brain function (9 papers), Receptor Mechanisms and Signaling (7 papers), Nonlinear Dynamics and Pattern Formation (7 papers), Gene Regulatory Network Analysis (6 papers) and Neuroscience and Neuropharmacology Research (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (227 citations), Statistical and Nonlinear Physics (122 citations), Cellular and Molecular Neuroscience (116 citations), Sensory Systems (28 citations) and Physiology (21 citations). Rüdiger Thul has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Stephen Coombes, Martin D. Bootman, H. Llewelyn Roderick, Martin Falcke, Alexander Skupin, Ioannis Smyrnias, Kevin Thurley, Florian Gebhard, Jörg Bünemann and Flavio H. Fenton. Their work appears in journals such as Cold Spring Harbor Protocols, Journal of Theoretical Biology, Physical review. E, European Journal of Applied Mathematics and SIAM Journal on Applied Dynamical Systems.

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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