Pei‐Chi Yang

1.8k total citations
52 papers, 1.3k citations indexed

About

Pei‐Chi Yang is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Information Systems and Management. According to data from OpenAlex, Pei‐Chi Yang has authored 52 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 33 papers in Cardiology and Cardiovascular Medicine and 10 papers in Information Systems and Management. Recurrent topics in Pei‐Chi Yang's work include Cardiac electrophysiology and arrhythmias (33 papers), Ion channel regulation and function (25 papers) and Receptor Mechanisms and Signaling (17 papers). Pei‐Chi Yang is often cited by papers focused on Cardiac electrophysiology and arrhythmias (33 papers), Ion channel regulation and function (25 papers) and Receptor Mechanisms and Signaling (17 papers). Pei‐Chi Yang collaborates with scholars based in United States, Taiwan and Canada. Pei‐Chi Yang's co-authors include Colleen E. Clancy, Yu-Lung Wu, Yu‐Hui Tao, Jonathan D. Moreno, M. Saleet Jafri, Junko Kurokawa, Robert D. Harvey, Robert S. Kass, John R. Bankston and Lucía Romero and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Circulation Research.

In The Last Decade

Pei‐Chi Yang

51 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pei‐Chi Yang United States 21 763 743 181 123 58 52 1.3k
Eric N. Johnson United States 26 664 0.9× 196 0.3× 98 0.5× 105 0.9× 130 2.2× 67 2.1k
Michael J. Zhang United States 21 422 0.6× 281 0.4× 22 0.1× 54 0.4× 23 0.4× 49 1.5k
Po‐Cheng Chang Taiwan 21 472 0.6× 1.0k 1.4× 114 0.6× 94 0.8× 54 0.9× 86 1.5k
Tian Seng Teo Singapore 14 920 1.2× 102 0.1× 175 1.0× 297 2.4× 283 4.9× 19 1.6k
Ning Deng China 16 456 0.6× 87 0.1× 17 0.1× 80 0.7× 56 1.0× 67 1.1k
Jinyi Shao United States 27 1.4k 1.9× 30 0.0× 65 0.4× 102 0.8× 53 0.9× 38 3.5k
Xiaomeng Zhang China 22 676 0.9× 64 0.1× 43 0.2× 12 0.1× 43 0.7× 105 1.7k
David Newman United Kingdom 17 182 0.2× 313 0.4× 14 0.1× 462 3.8× 78 1.3× 44 1.7k
Yanting Zhu China 24 882 1.2× 87 0.1× 22 0.1× 8 0.1× 32 0.6× 93 1.8k
James H. Jones United States 18 321 0.4× 33 0.0× 100 0.6× 22 0.2× 141 2.4× 50 1.2k

Countries citing papers authored by Pei‐Chi Yang

Since Specialization
Citations

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

Fields of papers citing papers by Pei‐Chi Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pei‐Chi Yang. 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 Pei‐Chi Yang. The network helps show where Pei‐Chi Yang may publish in the future.

Co-authorship network of co-authors of Pei‐Chi Yang

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

All Works

20 of 20 papers shown
1.
Chaudhary, Khuram W., Colleen E. Clancy, Pei‐Chi Yang, et al.. (2024). An overview of drug‐induced sodium channel blockade and changes in cardiac conduction: Implications for drug safety. Clinical and Translational Science. 17(12). e70098–e70098. 5 indexed citations
2.
Yang, Pei‐Chi, et al.. (2024). Harnessing AlphaFold to reveal hERG channel conformational state secrets. eLife. 13. 2 indexed citations
3.
4.
Yang, Pei‐Chi, et al.. (2023). Toward Digital Twin Technology for Precision Pharmacology. JACC. Clinical electrophysiology. 10(2). 359–364. 5 indexed citations
5.
6.
Dawson, John R.D., et al.. (2021). Assessing State Dependent Beta-Adrenergic Receptor - Ligand Interactions for Multiscale Modeling. Biophysical Journal. 120(3). 123a–123a. 1 indexed citations
7.
Yang, Pei‐Chi, Wayne R. Giles, Luiz Belardinelli, & Colleen E. Clancy. (2021). Mechanisms of flecainide induced negative inotropy: An in silico study. Journal of Molecular and Cellular Cardiology. 158. 26–37. 6 indexed citations
8.
DeMarco, Kevin R., Pei‐Chi Yang, Vikrant Singh, et al.. (2021). Molecular determinants of pro-arrhythmia proclivity of d- and l-sotalol via a multi-scale modeling pipeline. Journal of Molecular and Cellular Cardiology. 158. 163–177. 8 indexed citations
9.
Yang, Pei‐Chi, Kevin R. DeMarco, Parya Aghasafari, et al.. (2020). A Computational Pipeline to Predict Cardiotoxicity. Circulation Research. 126(8). 947–964. 54 indexed citations
10.
Yang, Pei‐Chi, Kevin R. DeMarco, Igor Vorobyov, et al.. (2019). A demonstration of modularity, reuse, reproducibility, portability and scalability for modeling and simulation of cardiac electrophysiology using Kepler Workflows. PLoS Computational Biology. 15(3). e1006856–e1006856. 3 indexed citations
11.
Perissinotti, Laura L., Pablo M. De Biase, Jiqing Guo, et al.. (2018). Determinants of Isoform-Specific Gating Kinetics of hERG1 Channel: Combined Experimental and Simulation Study. Frontiers in Physiology. 9. 207–207. 25 indexed citations
12.
Agarwal, Shailesh R., et al.. (2018). Membrane Domains and cAMP Compartmentation in Cardiac Myocytes. Biophysical Journal. 114(3). 502a–502a. 1 indexed citations
13.
Agarwal, Shailesh R., et al.. (2018). Compartmentalized cAMP Signaling Associated With Lipid Raft and Non-raft Membrane Domains in Adult Ventricular Myocytes. Frontiers in Pharmacology. 9. 332–332. 31 indexed citations
14.
Yang, Pei‐Chi, Nesrine El‐Bizri, Lucía Romero, et al.. (2016). A computational model predicts adjunctive pharmacotherapy for cardiac safety via selective inhibition of the late cardiac Na current. Journal of Molecular and Cellular Cardiology. 99. 151–161. 15 indexed citations
15.
Yang, Pei‐Chi, Britton Boras, Timothy J. Lewis, et al.. (2016). A Computational Modeling and Simulation Approach to Investigate Mechanisms of Subcellular cAMP Compartmentation. PLoS Computational Biology. 12(7). e1005005–e1005005. 40 indexed citations
16.
Kim, Hyo Jeong, Vladimir Yarov‐Yarovoy, Pei‐Chi Yang, et al.. (2015). Mechanisms of Calmodulin Regulation of Different Isoforms of Kv7.4 K+ Channels. Journal of Biological Chemistry. 291(5). 2499–2509. 14 indexed citations
17.
Agarwal, Shailesh R., Pei‐Chi Yang, Cherie A. Singer, et al.. (2014). Role of Membrane Microdomains in Compartmentation of cAMP Signaling. PLoS ONE. 9(4). e95835–e95835. 67 indexed citations
18.
Yang, Pei‐Chi & Colleen E. Clancy. (2012). In silico Prediction of Sex-Based Differences in Human Susceptibility to Cardiac Ventricular Tachyarrhythmias. Frontiers in Physiology. 3. 360–360. 47 indexed citations
19.
Yang, Pei‐Chi & Colleen E. Clancy. (2010). Effects of Sex Hormones on Cardiac Repolarization. Journal of Cardiovascular Pharmacology. 56(2). 123–129. 28 indexed citations
20.
Wu, Yu-Lung, Yu‐Hui Tao, & Pei‐Chi Yang. (2009). The Discussion on Influence of Website Usability Towards User Acceptability. 1–4. 10 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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