Topi Korhonen
- Cardiology and Cardiovascular Medicine top 10%
- Molecular Biology
- Cellular and Molecular Neuroscience top 10%
- Materials Chemistry
- Atomic and Molecular Physics, and Optics
- Co-authors
- Pasi TaviJussi T. KoivumäkiPekka KoskinenSandra L. HänninenVeli‐Pekka RonkainenJohan GarciaJouni TakaloMatti Weckström
- Topics
- Cardiac electrophysiology and arrhythmias (11 papers)Ion channel regulation and function (8 papers)Graphene research and applications (5 papers)
In The Last Decade
Topi Korhonen
28 papers receiving 600 citations
Peers
Comparison fields: 5 of 103
- Cardiology and Cardiovascular Medicine 280
- Molecular Biology 268
- Cellular and Molecular Neuroscience 128
- Materials Chemistry 92
- Atomic and Molecular Physics, and Optics 59
Countries citing papers authored by Topi Korhonen
This map shows the geographic impact of Topi Korhonen'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 Topi Korhonen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Topi Korhonen more than expected).
Fields of papers citing papers by Topi Korhonen
This network shows the impact of papers produced by Topi Korhonen. 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 Topi Korhonen. The network helps show where Topi Korhonen may publish in the future.
Co-authorship network of co-authors of Topi Korhonen
This figure shows the co-authorship network connecting the top 25 collaborators of Topi Korhonen. A scholar is included among the top collaborators of Topi Korhonen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Topi Korhonen. Topi Korhonen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 20 | |
| 2 | 13 | |
| 3 | 0 | |
| 4 | 6 | |
| 5 | 3 | |
| 6 | 12 | |
| 7 | 6 | |
| 8 | 23 | |
| 9 | 57 | |
| 10 | 103 | |
| 11 | 2 | |
| 12 | 26 | |
| 13 | 23 | |
| 14 | Mathematical modeling of the regulation, development and genetically engineered experimental models of cardiac excitation-contraction coupling | 10 |
| 15 | 68 | |
| 16 | 18 | |
| 17 | 28 | |
| 18 | 48 | |
| 19 | 1 | |
| 20 | 21 |
About Topi Korhonen
Topi Korhonen is a scholar working on Cardiology and Cardiovascular Medicine, Experimental and Cognitive Psychology and Cellular and Molecular Neuroscience, having authored 30 papers that have together received 617 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (11 papers), Ion channel regulation and function (8 papers) and Graphene research and applications (5 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (280 citations), Cellular and Molecular Neuroscience (128 citations) and Molecular Biology (268 citations). Topi Korhonen has collaborated with scholars based in Finland, Sweden and Australia. Frequent co-authors include Pasi Tavi, Jussi T. Koivumäki, Pekka Koskinen, Sandra L. Hänninen, Veli‐Pekka Ronkainen, Johan Garcia, Jouni Takalo, Matti Weckström, Jarkko Ronkainen and Réka Skoumal. Their work appears in journals such as The Journal of Cell Biology, The Journal of Physiology and Physical Review B.
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.