Stephan Heyse

20 papers receiving 823 citations

Peers

Stephan Heyse
Comparison fields: 5 of 88
  • Bioengineering 65
  • Biophysics 59
  • Molecular Biology 657
  • Electrochemistry 47
  • Radiology, Nuclear Medicine and Imaging 125
Replace Tatyana O. Pleshakova with:
Tatyana O. Pleshakova Russia
Tsutomu Mikawa Japan
Thomas Wilkop United States
Oliver K. Castell United Kingdom
Rongfu Zhang China
Chittanon Buranachai Thailand
Tetsuichi Wazawa Japan
Max Sonnleitner Austria
Wan‐Chen Lin United States
Raik Grünberg Saudi Arabia
Stephan Heyse relative to Tatyana O. Pleshakova Russia Tatyana O. Pleshakova's profile →
Citations per field
00.5×2.8×
Tatyana O. Pleshakova · 1×
Citations per year

Countries citing papers authored by Stephan Heyse

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Stephan Heyse Line = papers co-authored together Stephan Heyse links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999226
2 1998146
3 1994137
4 1998110
5 199575
6 199656
7 200731
8
From targets to leads: the importance of advanced data analysis for decision support in drug discovery.
200515
9 200213
10 20207
11 20187
12 20226
13 20055
14 20164
15 20083
16 20223
17 20202
18 20221
19 20201
20 20221

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 849 indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (6 papers), Computational Drug Discovery Methods (6 papers), Image Processing Techniques and Applications (3 papers), Lipid Membrane Structure and Behavior (3 papers), Cardiac electrophysiology and arrhythmias (3 papers), Ion channel regulation and function (3 papers), Advanced Fluorescence Microscopy Techniques (2 papers) and Molecular Junctions and Nanostructures (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, Klaus Peter Hofmann, Oliver P. Ernst, W. Stürmer, Hans‐Jürgen Apell, Thierry Storà, E Schmid, Jeremy H. Lakey, 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.

Explore authors with similar magnitude of impact