Michael Nivala
Impact in
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- Cardiac electrophysiology and arrhythmias
- Cardiac Arrhythmias and Treatments
- Cardiovascular Effects of Exercise
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- Nonlinear Waves and Solitons
- Nonlinear Photonic Systems
Papers in
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- Cardiac electrophysiology and arrhythmias 13
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- Ion channel regulation and function 10
- Protein Structure and Dynamics 3
- Co-authors
- Zhilin Qu (13 shared papers)James N. Weiss (11 shared papers)Christopher Y. Ko (6 shared papers)Zhen Song (4 shared papers)Alan Garfinkel (2 shared papers)Bernard Deconinck (4 shared papers)Michael B. Liu (1 shared paper)Enno de Lange (1 shared paper)
- Journals
- Biophysical Journal (6 papers)Journal of Molecular and Cellular Cardiology (2 papers)Scientific Reports (1 paper)Physica D Nonlinear Phenomena (1 paper)Mathematics and Computers in Simulation (1 paper)
- Partner nations
- United States
In The Last Decade
Michael Nivala
19 papers receiving 716 citations
Peers
Comparison fields: 5 of 73
- Cardiology and Cardiovascular Medicine 555
- Statistical and Nonlinear Physics 128
- Cellular and Molecular Neuroscience 148
- Molecular Biology 462
- Mathematical Physics 53
Countries citing papers authored by Michael Nivala
This map shows the geographic impact of Michael Nivala'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 Michael Nivala with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Nivala more than expected).
Fields of papers citing papers by Michael Nivala
This network shows the impact of papers produced by Michael Nivala. 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 Michael Nivala. The network helps show where Michael Nivala may publish in the future.
Co-authors
The 18 scholars most cited alongside Michael Nivala, 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 | 2011 | 134 | |
| 2 | 2015 | 87 | |
| 3 | 2015 | 73 | |
| 4 | 2012 | 61 | |
| 5 | 2012 | 59 | |
| 6 | 2012 | 46 | |
| 7 | 2014 | 44 | |
| 8 | 2016 | 42 | |
| 9 | 2012 | 42 | |
| 10 | 2011 | 34 | |
| 11 | 2010 | 27 | |
| 12 | 2011 | 26 | |
| 13 | 2013 | 24 | |
| 14 | 2010 | 12 | |
| 15 | 2009 | 7 | |
| 16 | 2011 | 2 | |
| 17 | 2015 | 2 | |
| 18 | 2013 | 2 | |
| 19 | 2012 | 1 |
About Michael Nivala
Michael Nivala is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Statistical and Nonlinear Physics, Cellular and Molecular Neuroscience and Mathematical Physics, having authored 19 papers that have together received 725 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (13 papers), Ion channel regulation and function (10 papers), Nonlinear Waves and Solitons (4 papers), Neuroscience and Neural Engineering (3 papers), Nonlinear Photonic Systems (3 papers), Protein Structure and Dynamics (3 papers), Advanced Mathematical Physics Problems (3 papers) and Nonlinear Dynamics and Pattern Formation (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (555 citations), Statistical and Nonlinear Physics (128 citations), Cellular and Molecular Neuroscience (148 citations), Molecular Biology (462 citations) and Mathematical Physics (53 citations). Michael Nivala has collaborated with scholars based in United States. Frequent co-authors include Zhilin Qu, James N. Weiss, Christopher Y. Ko, Zhen Song, Alan Garfinkel, Bernard Deconinck, Michael B. Liu, Enno de Lange, Hrayr S. Karagueuzian and Thao P. Nguyen. Their work appears in journals such as Biophysical Journal, Journal of Molecular and Cellular Cardiology, Scientific Reports, Physica D Nonlinear Phenomena and Mathematics and Computers in Simulation.
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.