Renjun Zhu

877 total citations
15 papers, 563 citations indexed

About

Renjun Zhu is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Renjun Zhu has authored 15 papers receiving a total of 563 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cellular and Molecular Neuroscience, 9 papers in Molecular Biology and 9 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Renjun Zhu's work include Neuroscience and Neural Engineering (11 papers), Pluripotent Stem Cells Research (7 papers) and Cardiac electrophysiology and arrhythmias (6 papers). Renjun Zhu is often cited by papers focused on Neuroscience and Neural Engineering (11 papers), Pluripotent Stem Cells Research (7 papers) and Cardiac electrophysiology and arrhythmias (6 papers). Renjun Zhu collaborates with scholars based in United States, Hong Kong and South Korea. Renjun Zhu's co-authors include Leslie Tung, Adriana Blazeski, Elias T. Zambidis, Kenneth R. Boheler, Seth H. Weinberg, David W. Hunter, Ellen Poon, Kevin D. Costa, Natalia A. Trayanova and Chulan Kwon and has published in prestigious journals such as Nature Communications, Scientific Reports and Cell stem cell.

In The Last Decade

Renjun Zhu

15 papers receiving 557 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Renjun Zhu United States 13 342 223 221 162 141 15 563
Alexandra Bizy Spain 8 358 1.0× 151 0.7× 197 0.9× 178 1.1× 129 0.9× 17 586
Lili Barad Israel 8 446 1.3× 278 1.2× 202 0.9× 127 0.8× 97 0.7× 9 588
Rami Shinnawi Israel 7 367 1.1× 176 0.8× 242 1.1× 145 0.9× 202 1.4× 7 584
Gideon Meiry Israel 8 248 0.7× 173 0.8× 125 0.6× 100 0.6× 63 0.4× 9 388
Hongwei Jin China 6 474 1.4× 658 3.0× 142 0.6× 112 0.7× 116 0.8× 10 946
Andrew E. Pollard United States 15 503 1.5× 608 2.7× 275 1.2× 257 1.6× 145 1.0× 35 992
Matthias Matzkies Germany 11 338 1.0× 105 0.5× 160 0.7× 167 1.0× 146 1.0× 18 507
Ville Kujala Finland 9 363 1.1× 114 0.5× 281 1.3× 89 0.5× 335 2.4× 11 658
Christiaan C. Veerman Netherlands 10 467 1.4× 363 1.6× 203 0.9× 99 0.6× 85 0.6× 13 623
Robert D. Kirkton United States 6 311 0.9× 188 0.8× 121 0.5× 126 0.8× 32 0.2× 7 447

Countries citing papers authored by Renjun Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Renjun Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Renjun Zhu. 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 Renjun Zhu. The network helps show where Renjun Zhu may publish in the future.

Co-authorship network of co-authors of Renjun Zhu

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

All Works

15 of 15 papers shown
1.
Kannan, Suraj, Matthew Miyamoto, Renjun Zhu, et al.. (2023). Trajectory reconstruction identifies dysregulation of perinatal maturation programs in pluripotent stem cell-derived cardiomyocytes. Cell Reports. 42(4). 112330–112330. 7 indexed citations
2.
Murphy, Sean, Matthew Miyamoto, Anaïs Kervadec, et al.. (2021). PGC1/PPAR drive cardiomyocyte maturation at single cell level via YAP1 and SF3B2. Nature Communications. 12(1). 1648–1648. 58 indexed citations
3.
Blazeski, Adriana, Justin Lowenthal, Renjun Zhu, et al.. (2019). Functional Properties of Engineered Heart Slices Incorporating Human Induced Pluripotent Stem Cell-Derived Cardiomyocytes. Stem Cell Reports. 12(5). 982–995. 27 indexed citations
4.
Smith, Godfrey L., Beibei Cai, Graham T. Dempsey, et al.. (2019). Electrophysiological characterization of drug response in hSC-derived cardiomyocytes using voltage-sensitive optical platforms. Journal of Pharmacological and Toxicological Methods. 99. 106612–106612. 28 indexed citations
5.
Zhu, Renjun, et al.. (2019). Contribution of potassium channels to action potential repolarization of human embryonic stem cell‐derived cardiomyocytes. British Journal of Pharmacology. 176(15). 2780–2794. 6 indexed citations
6.
Blazeski, Adriana, Justin Lowenthal, Yin Wang, et al.. (2018). Engineered Heart Slice Model of Arrhythmogenic Cardiomyopathy Using Plakophilin-2 Mutant Myocytes. Tissue Engineering Part A. 25(9-10). 725–735. 23 indexed citations
7.
Zhu, Renjun, et al.. (2016). Variability of Action Potentials Within and Among Cardiac Cell Clusters Derived from Human Embryonic Stem Cells. Scientific Reports. 6(1). 18544–18544. 33 indexed citations
8.
Oh, Yohan, Zhe Li, Ingie Hong, et al.. (2016). Functional Coupling with Cardiac Muscle Promotes Maturation of hPSC-Derived Sympathetic Neurons. Cell stem cell. 19(1). 95–106. 86 indexed citations
9.
Zhu, Renjun, et al.. (2014). Automated Grouping of Action Potentials of Human Embryonic Stem Cell-Derived Cardiomyocytes. IEEE Transactions on Biomedical Engineering. 61(9). 2389–2395. 15 indexed citations
10.
Zhu, Renjun, Adriana Blazeski, Ellen Poon, et al.. (2014). Physical developmental cues for the maturation of human pluripotent stem cell-derived cardiomyocytes. Stem Cell Research & Therapy. 5(5). 117–117. 91 indexed citations
11.
Weinberg, Seth H., Kelly C. Chang, Renjun Zhu, et al.. (2013). Defibrillation success with high frequency electric fields is related to degree and location of conduction block. Heart Rhythm. 10(5). 740–748. 17 indexed citations
12.
Blazeski, Adriana, Renjun Zhu, David W. Hunter, et al.. (2012). Cardiomyocytes derived from human induced pluripotent stem cells as models for normal and diseased cardiac electrophysiology and contractility. Progress in Biophysics and Molecular Biology. 110(2-3). 166–177. 53 indexed citations
13.
Blazeski, Adriana, Renjun Zhu, David W. Hunter, et al.. (2012). Electrophysiological and contractile function of cardiomyocytes derived from human embryonic stem cells. Progress in Biophysics and Molecular Biology. 110(2-3). 178–195. 57 indexed citations
14.
Lim, Ki Moo, Jason Constantino, Viatcheslav Gurev, et al.. (2011). Comparison of the effects of continuous and pulsatile left ventricular-assist devices on ventricular unloading using a cardiac electromechanics model. The Journal of Physiological Sciences. 62(1). 11–19. 29 indexed citations
15.
Tandri, Harikrishna, Seth H. Weinberg, Kelly C. Chang, et al.. (2011). Reversible Cardiac Conduction Block and Defibrillation with High-Frequency Electric Field. Science Translational Medicine. 3(102). 102ra96–102ra96. 33 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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