Michael B. Liu

460 total citations
17 papers, 316 citations indexed

About

Michael B. Liu is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Michael B. Liu has authored 17 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cardiology and Cardiovascular Medicine, 12 papers in Molecular Biology and 1 paper in Cellular and Molecular Neuroscience. Recurrent topics in Michael B. Liu's work include Cardiac electrophysiology and arrhythmias (15 papers), Ion channel regulation and function (11 papers) and ECG Monitoring and Analysis (2 papers). Michael B. Liu is often cited by papers focused on Cardiac electrophysiology and arrhythmias (15 papers), Ion channel regulation and function (11 papers) and ECG Monitoring and Analysis (2 papers). Michael B. Liu collaborates with scholars based in United States, China and Spain. Michael B. Liu's co-authors include Zhilin Qu, James N. Weiss, Zhen Song, Alan Garfinkel, Michael Nivala, Enno de Lange, Alexander V. Panfilov, Nele Vandersickel, Xiaodong Huang and Tae Yun Kim and has published in prestigious journals such as The Journal of Physiology, Scientific Reports and Biophysical Journal.

In The Last Decade

Michael B. Liu

17 papers receiving 312 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 B. Liu United States 12 266 188 56 23 20 17 316
Rosanne Varkevisser Netherlands 12 259 1.0× 204 1.1× 53 0.9× 14 0.6× 8 0.4× 16 345
Ivan V. Kazbanov Belgium 9 273 1.0× 133 0.7× 45 0.8× 25 1.1× 11 324
Ramarao S. Lankipalli United States 6 533 2.0× 178 0.9× 25 0.4× 22 1.0× 10 560
Stephen A. Gaeta United States 9 188 0.7× 188 1.0× 49 0.9× 10 0.4× 14 310
Jan Azarov Russia 12 268 1.0× 124 0.7× 21 0.4× 26 1.1× 59 365
Gautam Lalani United States 12 720 2.7× 109 0.6× 26 0.5× 21 0.9× 25 745
Kevin F. Kwaku United States 10 369 1.4× 116 0.6× 39 0.7× 21 0.9× 1 0.1× 20 451
Zhong Jian United States 13 367 1.4× 313 1.7× 111 2.0× 8 0.3× 24 457
Nico Kuijpers Netherlands 11 375 1.4× 62 0.3× 41 0.7× 23 1.0× 28 411
Namit Gaur United States 6 225 0.8× 208 1.1× 63 1.1× 4 0.2× 9 299

Countries citing papers authored by Michael B. Liu

Since Specialization
Citations

This map shows the geographic impact of Michael B. Liu'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 B. Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael B. Liu more than expected).

Fields of papers citing papers by Michael B. Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael B. Liu. 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 B. Liu. The network helps show where Michael B. Liu may publish in the future.

Co-authorship network of co-authors of Michael B. Liu

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

All Works

17 of 17 papers shown
1.
Liu, Michael B. & Victoria N. Parikh. (2024). Toward Precision Medicine in the Treatment of Arrhythmogenic Cardiomyopathy. Current Treatment Options in Cardiovascular Medicine. 26(11). 317–330. 1 indexed citations
2.
Liu, Michael B., Timothy J. Davis, Elizabeth Smith, et al.. (2023). Heterogeneous cardiac sympathetic innervation gradients promote arrhythmogenesis in murine dilated cardiomyopathy. JCI Insight. 8(22). 14 indexed citations
3.
Qu, Zhilin, Michael B. Liu, Riccardo Olcese, et al.. (2022). R-on-T and the initiation of reentry revisited: Integrating old and new concepts. Heart Rhythm. 19(8). 1369–1383. 14 indexed citations
4.
Liu, Michael B., et al.. (2022). Safety of magnetic resonance imaging in patients with cardiac implantable electronic devices with generator and lead(s) brand mismatch. Journal of Applied Clinical Medical Physics. 23(3). e13520–e13520. 2 indexed citations
5.
Zhang, Zhaoyang, Michael B. Liu, Zhen Song, & Zhilin Qu. (2020). Can Phase-2 Early Afterdepolarizations Propagate in Cardiac Tissue? Insights from Multiple Action Potential Models. Biophysical Journal. 118(3). 409a–410a. 2 indexed citations
6.
Zhang, Zhaoyang, Michael B. Liu, Xiaodong Huang, Zhen Song, & Zhilin Qu. (2020). Mechanisms of Premature Ventricular Complexes Caused by QT Prolongation. Biophysical Journal. 120(2). 352–369. 15 indexed citations
7.
Zhang, Zhaoyang, Zhen Song, Michael B. Liu, et al.. (2020). Small-conductance Ca2+-activated K+ channels promote J-wave syndrome and phase 2 reentry. Heart Rhythm. 17(9). 1582–1590. 7 indexed citations
8.
Liu, Michael B., Silvia G. Priori, Zhilin Qu, & James N. Weiss. (2020). Stabilizer Cell Gene Therapy. Circulation Arrhythmia and Electrophysiology. 13(9). e008420–e008420. 12 indexed citations
9.
Liu, Michael B.. (2019). Multiscale Modeling of Cardiac Arrhythmogenesis: Beyond the Trigger-Substrate Paradigm. eScholarship (California Digital Library). 1 indexed citations
10.
Liu, Michael B., Nele Vandersickel, Alexander V. Panfilov, & Zhilin Qu. (2019). R-From-T as a Common Mechanism of Arrhythmia Initiation in Long QT Syndromes. Circulation Arrhythmia and Electrophysiology. 12(12). e007571–e007571. 41 indexed citations
11.
Liu, Weiqing, Tae Yun Kim, Xiaodong Huang, et al.. (2018). Mechanisms linking T‐wave alternans to spontaneous initiation of ventricular arrhythmias in rabbit models of long QT syndrome. The Journal of Physiology. 596(8). 1341–1355. 35 indexed citations
12.
Ko, Christopher Y., Michael B. Liu, Zhen Song, Zhilin Qu, & James N. Weiss. (2017). Multiscale Determinants of Delayed Afterdepolarization Amplitude in Cardiac Tissue. Biophysical Journal. 112(9). 1949–1961. 13 indexed citations
13.
Song, Zhen, Michael B. Liu, & Zhilin Qu. (2017). Transverse tubular network structures in the genesis of intracellular calcium alternans and triggered activity in cardiac cells. Journal of Molecular and Cellular Cardiology. 114. 288–299. 26 indexed citations
14.
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
15.
Liu, Michael B., Christopher Y. Ko, Zhen Song, et al.. (2016). A Dynamical Threshold for Cardiac Delayed Afterdepolarization-Mediated Triggered Activity. Biophysical Journal. 111(11). 2523–2533. 17 indexed citations
16.
Liu, Michael B., Enno de Lange, Alan Garfinkel, James N. Weiss, & Zhilin Qu. (2015). Delayed afterdepolarizations generate both triggers and a vulnerable substrate promoting reentry in cardiac tissue. Heart Rhythm. 12(10). 2115–2124. 53 indexed citations
17.
Liu, Michael B., Neville Eclov, Nicholas Trakul, et al.. (2012). Clinical impact of dose overestimation by effective path length calculation in stereotactic ablative radiation therapy of lung tumors. Practical Radiation Oncology. 3(4). 294–300. 21 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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