Philipp Kügler
Impact in
- Biochemistry top 2%
- Sulfur Compounds in Biology
- Endocrine and Autonomic Systems top 10%
- Neuroscience of respiration and sleep
Papers in
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- Ion channel regulation and function 11
- Gene Regulatory Network Analysis 5
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- Cardiac electrophysiology and arrhythmias 12
- Co-authors
- Peter Pohl (4 shared papers)Mark L. Zeidel (3 shared papers)John Mathai (3 shared papers)Sapar M. Saparov (3 shared papers)Andreas Missner (3 shared papers)John K. Lee (2 shared papers)Heinz W. Engl (3 shared papers)Stefan C. Müller (3 shared papers)
In The Last Decade
Philipp Kügler
44 papers receiving 910 citations
Peers
Comparison fields: 5 of 131
- Biochemistry 214
- Endocrine and Autonomic Systems 62
- Statistical and Nonlinear Physics 116
- Mathematical Physics 70
- Molecular Biology 400
Countries citing papers authored by Philipp Kügler
This map shows the geographic impact of Philipp Kügler'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 Philipp Kügler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philipp Kügler more than expected).
Fields of papers citing papers by Philipp Kügler
This network shows the impact of papers produced by Philipp Kügler. 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 Philipp Kügler. The network helps show where Philipp Kügler may publish in the future.
Co-authors
The 25 scholars most cited alongside Philipp Kügler, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 303 | |
| 2 | 2008 | 141 | |
| 3 | 2009 | 77 | |
| 4 | 2019 | 40 | |
| 5 | 2016 | 30 | |
| 6 | 2018 | 28 | |
| 7 | 2017 | 24 | |
| 8 | 2003 | 23 | |
| 9 | 2022 | 18 | |
| 10 | 2009 | 18 | |
| 11 | 2012 | 18 | |
| 12 | 2002 | 17 | |
| 13 | 2011 | 16 | |
| 14 | 2019 | 13 | |
| 15 | 2009 | 12 | |
| 16 | 2013 | 12 | |
| 17 | 2017 | 12 | |
| 18 | 2003 | 12 | |
| 19 | 2023 | 11 | |
| 20 | 2013 | 10 |
About Philipp Kügler
Philipp Kügler is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Statistical and Nonlinear Physics, Mathematical Physics and Mechanics of Materials, having authored 45 papers that have together received 939 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (12 papers), Ion channel regulation and function (11 papers), Numerical methods in inverse problems (10 papers), stochastic dynamics and bifurcation (8 papers), Gene Regulatory Network Analysis (5 papers), Composite Material Mechanics (4 papers), Ecosystem dynamics and resilience (4 papers) and Neuroscience and Neural Engineering (3 papers). The work is most often cited by research in Biochemistry (214 citations), Endocrine and Autonomic Systems (62 citations), Statistical and Nonlinear Physics (116 citations), Mathematical Physics (70 citations) and Molecular Biology (400 citations). Philipp Kügler has collaborated with scholars based in Austria, Germany and Russia. Frequent co-authors include Peter Pohl, Mark L. Zeidel, John Mathai, Sapar M. Saparov, Andreas Missner, John K. Lee, Heinz W. Engl, Stefan C. Müller, Klaus Sommer and Christoph Flamm. Their work appears in journals such as PLoS ONE, Inverse Problems, European Journal of Applied Mathematics, Journal of Biological Chemistry and Chaos Solitons & Fractals.
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.