Stephan Heyse
- Bioengineering top 5%
- Biophysics top 5%
- Cell Image Analysis Techniques 6
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- Lipid Membrane Structure and Behavior 3
- Ion channel regulation and function 3
- Metabolomics and Mass Spectrometry Studies 2
- Electrochemistry top 10%
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- Computational Drug Discovery Methods 6
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- Cardiac electrophysiology and arrhythmias 3
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- Image Processing Techniques and Applications 3
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- Photoreceptor and optogenetics research 2
- Co-authors
- Horst VogelOliver P. ErnstKlaus Peter HofmannW. StürmerHans‐Jürgen ApellJeremy H. LakeyThierry StoràE Schmid
- Partner nations
- SwitzerlandGermanyUnited Kingdom
In The Last Decade
Stephan Heyse
20 papers receiving 823 citations
Peers
Comparison fields: 5 of 88
- Bioengineering 65
- Biophysics 59
- Molecular Biology 657
- Electrochemistry 47
- Radiology, Nuclear Medicine and Imaging 125
Countries citing papers authored by Stephan Heyse
This map shows the geographic impact of Stephan Heyse'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 Stephan Heyse with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephan Heyse more than expected).
Fields of papers citing papers by Stephan Heyse
This network shows the impact of papers produced by Stephan Heyse. 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 Stephan Heyse. The network helps show where Stephan Heyse may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Stephan Heyse, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2026 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2022 | 3 | |
| 5 | 2022 | 1 | |
| 6 | 2022 | 6 | |
| 7 | 2020 | 7 | |
| 8 | 2020 | 1 | |
| 9 | 2020 | 2 | |
| 10 | 2018 | 7 | |
| 11 | 2016 | 4 | |
| 12 | 2008 | 3 | |
| 13 | 2007 | 31 | |
| 14 | 2005 | 5 | |
| 15 | 2002 | 13 | |
| 16 | 1999 | 226 | |
| 17 | 1998 | 110 | |
| 18 | 1996 | 56 | |
| 19 | 1995 | 75 | |
| 20 | 1994 | 137 |
About Stephan Heyse
Stephan Heyse is a scholar working on Biophysics, Computational Theory and Mathematics, Media Technology, Molecular Biology and Bioengineering, having authored 23 papers that have together received 849 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (6 papers), Cell Image Analysis Techniques (6 papers), Lipid Membrane Structure and Behavior (3 papers), Ion channel regulation and function (3 papers), Cardiac electrophysiology and arrhythmias (3 papers), Image Processing Techniques and Applications (3 papers), Metabolomics and Mass Spectrometry Studies (2 papers) and Photoreceptor and optogenetics research (2 papers). The work is most often cited by research in Bioengineering (65 citations), Biophysics (59 citations), Molecular Biology (657 citations), Electrochemistry (47 citations) and Radiology, Nuclear Medicine and Imaging (125 citations). Stephan Heyse has collaborated with scholars based in Switzerland, Germany and United Kingdom. Frequent co-authors include Horst Vogel, Oliver P. Ernst, Klaus Peter Hofmann, W. Stürmer, Hans‐Jürgen Apell, Jeremy H. Lakey, Thierry Storà, E Schmid, Michael J. Sanger and Hans Sigrist. Their work appears in journals such as SLAS DISCOVERY, Protein Science, Nature Biotechnology, Biochimica et Biophysica Acta (BBA) - Reviews on Biomembranes and Assay and Drug Development Technologies.
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.