Jari Hyttinen
- Biomedical Engineering top 1%
- Molecular Biology top 10%
- Cellular and Molecular Neuroscience top 1%
- Cardiology and Cardiovascular Medicine top 2%
- Surgery top 5%
- Co-authors
- Jaakko MalmivuoKatriina Aalto‐SetäläMichelangelo PaciJari ViikMarkus HannulaStefano SeveriP. KauppinenVille‐Pekka Seppä
- Topics
- Neuroscience and Neural Engineering (68 papers)Cardiac electrophysiology and arrhythmias (40 papers)Neural dynamics and brain function (32 papers)
- Cited by
- Cellular and Molecular NeuroscienceBiomedical EngineeringCardiology and Cardiovascular Medicine
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEMacromolecules
- Partner nations
- FinlandItalyUnited Kingdom
In The Last Decade
Jari Hyttinen
281 papers receiving 5.0k citations
Peers
Comparison fields: 5 of 185
- Biomedical Engineering 2.0k
- Molecular Biology 1.2k
- Cellular and Molecular Neuroscience 1.2k
- Cardiology and Cardiovascular Medicine 931
- Surgery 734
Countries citing papers authored by Jari Hyttinen
This map shows the geographic impact of Jari Hyttinen'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 Jari Hyttinen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jari Hyttinen more than expected).
Fields of papers citing papers by Jari Hyttinen
This network shows the impact of papers produced by Jari Hyttinen. 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 Jari Hyttinen. The network helps show where Jari Hyttinen may publish in the future.
Co-authorship network of co-authors of Jari Hyttinen
This figure shows the co-authorship network connecting the top 25 collaborators of Jari Hyttinen. A scholar is included among the top collaborators of Jari Hyttinen 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 Jari Hyttinen. Jari Hyttinen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 6 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 13 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 3 | |
| 9 | 6 | |
| 10 | 1 | |
| 11 | 6 | |
| 12 | 6 | |
| 13 | 7 | |
| 14 | 18 | |
| 15 | 1 | |
| 16 | 9 | |
| 17 | 23 | |
| 18 | 3 | |
| 19 | Computational modeling supports induced pluripotent stem cell-derived cardiomyocytes reliability as a model for human LQT3 | 4 |
| 20 | Short distance bipolar electrocardiographic leads in diagnosis of left ventricular hypertrophy | 1 |
About Jari Hyttinen
Jari Hyttinen is a scholar working on Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine and Biophysics, having authored 296 papers that have together received 5.1k indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (68 papers), Cardiac electrophysiology and arrhythmias (40 papers) and Neural dynamics and brain function (32 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.2k citations), Biomedical Engineering (2.0k citations) and Cardiology and Cardiovascular Medicine (931 citations). Jari Hyttinen has collaborated with scholars based in Finland, Italy and United Kingdom. Frequent co-authors include Jaakko Malmivuo, Katriina Aalto‐Setälä, Michelangelo Paci, Jari Viik, Markus Hannula, Stefano Severi, P. Kauppinen, Ville‐Pekka Seppä, Heli Skottman and Jarno M. A. Tanskanen. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Macromolecules.
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.