Stephan Heyse
Impact in
- Bioengineering top 5%
- Biophysics top 5%
Papers in
-
- Ion channel regulation and function 3
- Lipid Membrane Structure and Behavior 3
- Receptor Mechanisms and Signaling 2
-
- Computational Drug Discovery Methods 6
- Co-authors
- Horst Vogel (5 shared papers)Oliver P. Ernst (2 shared papers)Klaus Peter Hofmann (2 shared papers)W. Stürmer (1 shared paper)Hans‐Jürgen Apell (1 shared paper)Jeremy H. Lakey (1 shared paper)Thierry Storà (1 shared paper)E Schmid (1 shared paper)
- Journals
- SLAS DISCOVERY (8 papers)Assay and Drug Development Technologies (1 paper)Protein Science (1 paper)Biochimica et Biophysica Acta (BBA) - Reviews on Biomembranes (1 paper)Nature Biotechnology (1 paper)
- Partner nations
- SwitzerlandGermanyUnited States
In The Last Decade
Stephan Heyse
21 papers receiving 830 citations
Peers
Comparison fields: 5 of 87
- Bioengineering 65
- Biophysics 57
- Molecular Biology 652
- Electrochemistry 47
- Radiology, Nuclear Medicine and Imaging 123
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-authors
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
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 227 | |
| 2 | 1998 | 147 | |
| 3 | 1994 | 137 | |
| 4 | 1998 | 110 | |
| 5 | 1995 | 75 | |
| 6 | 1996 | 56 | |
| 7 | 2007 | 31 | |
| 8 | From targets to leads: the importance of advanced data analysis for decision support in drug discovery. | 2005 | 15 |
| 9 | 2002 | 13 | |
| 10 | 2018 | 7 | |
| 11 | 2020 | 7 | |
| 12 | 2022 | 6 | |
| 13 | 2005 | 5 | |
| 14 | 2016 | 4 | |
| 15 | 2008 | 3 | |
| 16 | 2022 | 3 | |
| 17 | 2020 | 2 | |
| 18 | 2022 | 1 | |
| 19 | 2020 | 1 | |
| 20 | 2024 | 1 |
About Stephan Heyse
Stephan Heyse is a scholar working on Molecular Biology, Computational Theory and Mathematics, Biophysics, Cardiology and Cardiovascular Medicine and Media Technology, having authored 23 papers that have together received 852 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (6 papers), Cell Image Analysis Techniques (6 papers), Cardiac electrophysiology and arrhythmias (3 papers), Image Processing Techniques and Applications (3 papers), Ion channel regulation and function (3 papers), Lipid Membrane Structure and Behavior (3 papers), Advanced Fluorescence Microscopy Techniques (2 papers) and Receptor Mechanisms and Signaling (2 papers). The work is most often cited by research in Bioengineering (65 citations), Biophysics (57 citations), Molecular Biology (652 citations), Electrochemistry (47 citations) and Radiology, Nuclear Medicine and Imaging (123 citations). Stephan Heyse has collaborated with scholars based in Switzerland, Germany and United States. 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, Assay and Drug Development Technologies, Protein Science, Biochimica et Biophysica Acta (BBA) - Reviews on Biomembranes and Nature Biotechnology.
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.