Michael Nivala

1.0k total citations
19 papers, 725 citations indexed

About

Michael Nivala is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Statistical and Nonlinear Physics. According to data from OpenAlex, Michael Nivala has authored 19 papers receiving a total of 725 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cardiology and Cardiovascular Medicine, 12 papers in Molecular Biology and 5 papers in Statistical and Nonlinear Physics. Recurrent topics in Michael Nivala's work include Cardiac electrophysiology and arrhythmias (13 papers), Ion channel regulation and function (10 papers) and Nonlinear Waves and Solitons (4 papers). Michael Nivala is often cited by papers focused on Cardiac electrophysiology and arrhythmias (13 papers), Ion channel regulation and function (10 papers) and Nonlinear Waves and Solitons (4 papers). Michael Nivala collaborates with scholars based in United States. Michael Nivala's co-authors include Zhilin Qu, James N. Weiss, Christopher Y. Ko, Zhen Song, Alan Garfinkel, Bernard Deconinck, Michael B. Liu, Enno de Lange, Arash Pezhouman and Thao P. Nguyen and has published in prestigious journals such as Circulation, Circulation Research and The Journal of Physiology.

In The Last Decade

Michael Nivala

19 papers receiving 716 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michael Nivala United States 13 555 462 148 128 53 19 725
Anthony Varghese United States 18 1.0k 1.9× 931 2.0× 410 2.8× 44 0.3× 3 0.1× 35 1.3k
Sanjay Kharche United Kingdom 17 573 1.0× 273 0.6× 95 0.6× 23 0.2× 2 0.0× 55 747
Philip R. Ershler United States 18 887 1.6× 238 0.5× 167 1.1× 11 0.1× 20 0.4× 27 1.1k
J.L. Stephenson United States 18 46 0.1× 334 0.7× 72 0.5× 55 0.4× 59 1.1× 34 720
Marcus L. Koller Germany 10 1.2k 2.2× 460 1.0× 115 0.8× 47 0.4× 20 1.2k
Trine Krogh‐Madsen United States 19 643 1.2× 455 1.0× 207 1.4× 85 0.7× 40 775
Ali Baher United States 6 574 1.0× 376 0.8× 163 1.1× 35 0.3× 6 626
Elizabeth J. Akin United States 13 83 0.1× 429 0.9× 236 1.6× 46 0.4× 8 0.2× 21 610
Rahil Dahlén Sweden 9 340 0.6× 309 0.7× 60 0.4× 54 0.4× 13 573
Rüdiger Thul United Kingdom 12 234 0.4× 274 0.6× 117 0.8× 108 0.8× 2 0.0× 32 510

Countries citing papers authored by Michael Nivala

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Michael Nivala

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Nivala. A scholar is included among the top collaborators of Michael Nivala 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 Michael Nivala. Michael Nivala is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Qu, Zhilin, Michael B. Liu, & Michael Nivala. (2016). A unified theory of calcium alternans in ventricular myocytes. Scientific Reports. 6(1). 35625–35625. 42 indexed citations
2.
Song, Zhen, Christopher Y. Ko, Michael Nivala, James N. Weiss, & Zhilin Qu. (2015). Complex Early and Delayed Afterdepolarization Dynamics caused by Voltage-Calcium Coupling in Cardiac Myocytes. Biophysical Journal. 108(2). 261a–262a. 2 indexed citations
3.
Song, Zhen, Christopher Y. Ko, Michael Nivala, James N. Weiss, & Zhilin Qu. (2015). Calcium-Voltage Coupling in the Genesis of Early and Delayed Afterdepolarizations in Cardiac Myocytes. Biophysical Journal. 108(8). 1908–1921. 87 indexed citations
4.
Pezhouman, Arash, Neha Singh, Zhen Song, et al.. (2015). Molecular Basis of Hypokalemia-Induced Ventricular Fibrillation. Circulation. 132(16). 1528–1537. 73 indexed citations
5.
Nivala, Michael, Zhen Song, James N. Weiss, & Zhilin Qu. (2014). T-tubule disruption promotes calcium alternans in failing ventricular myocytes: Mechanistic insights from computational modeling. Journal of Molecular and Cellular Cardiology. 79. 32–41. 44 indexed citations
6.
Nivala, Michael, et al.. (2013). The emergence of subcellular pacemaker sites for calcium waves and oscillations. The Journal of Physiology. 591(21). 5305–5320. 24 indexed citations
7.
Abraham, Ralph & Michael Nivala. (2013). Chaotic Synchronization and the Global Economy. IIM Kozhikode Society & Management Review. 2(2). 157–163. 2 indexed citations
8.
Ko, Christopher Y., et al.. (2012). Self-Organized Criticality Underlies Arrhythmogenic Calcium Waves in Cardiac Myocytes. Biophysical Journal. 102(3). 100a–100a. 1 indexed citations
9.
Nivala, Michael & Zhilin Qu. (2012). Calcium alternans in a couplon network model of ventricular myocytes: role of sarcoplasmic reticulum load. American Journal of Physiology-Heart and Circulatory Physiology. 303(3). H341–H352. 42 indexed citations
10.
Nivala, Michael, et al.. (2012). Computational Modeling and Numerical Methods for Spatiotemporal Calcium Cycling in Ventricular Myocytes. Frontiers in Physiology. 3. 114–114. 46 indexed citations
11.
Nivala, Michael, et al.. (2012). Criticality in Intracellular Calcium Signaling in Cardiac Myocytes. Biophysical Journal. 102(11). 2433–2442. 59 indexed citations
12.
Qu, Zhilin, Michael Nivala, & James N. Weiss. (2012). Calcium alternans in cardiac myocytes: Order from disorder. Journal of Molecular and Cellular Cardiology. 58. 100–109. 61 indexed citations
13.
Kôrge, Paavo, et al.. (2011). Linking Flickering to Waves and Whole-Cell Oscillations in a Mitochondrial Network Model. Biophysical Journal. 101(9). 2102–2111. 26 indexed citations
14.
Nivala, Michael, et al.. (2011). Self-Organization of Pacemaking Sites for Calcium Waves and Oscillations in Cardiac Myocytes. Biophysical Journal. 100(3). 557a–557a. 2 indexed citations
15.
Deconinck, Bernard, et al.. (2011). Elliptic solutions of the defocusing NLS equation are stable. Journal of Physics A Mathematical and Theoretical. 44(28). 285201–285201. 34 indexed citations
16.
Weiss, James N., Michael Nivala, Alan Garfinkel, & Zhilin Qu. (2011). Alternans and Arrhythmias. Circulation Research. 108(1). 98–112. 134 indexed citations
17.
Nivala, Michael & Bernard Deconinck. (2010). Periodic finite-genus solutions of the KdV equation are orbitally stable. Physica D Nonlinear Phenomena. 239(13). 1147–1158. 12 indexed citations
18.
Deconinck, Bernard & Michael Nivala. (2010). The Stability Analysis of the Periodic Traveling Wave Solutions of the mKdV Equation. Studies in Applied Mathematics. 126(1). 17–48. 27 indexed citations
19.
Deconinck, Bernard & Michael Nivala. (2009). Symbolic integration using homotopy methods. Mathematics and Computers in Simulation. 80(4). 825–836. 7 indexed citations

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.

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