Kenneth Tran

1.7k total citations
64 papers, 623 citations indexed

About

Kenneth Tran is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, Kenneth Tran has authored 64 papers receiving a total of 623 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Cardiology and Cardiovascular Medicine, 17 papers in Molecular Biology and 8 papers in Biomedical Engineering. Recurrent topics in Kenneth Tran's work include Cardiomyopathy and Myosin Studies (28 papers), Cardiovascular Function and Risk Factors (22 papers) and Cardiac electrophysiology and arrhythmias (19 papers). Kenneth Tran is often cited by papers focused on Cardiomyopathy and Myosin Studies (28 papers), Cardiovascular Function and Risk Factors (22 papers) and Cardiac electrophysiology and arrhythmias (19 papers). Kenneth Tran collaborates with scholars based in New Zealand, Australia and United States. Kenneth Tran's co-authors include Denis S. Loiselle, Edmund J. Crampin, June‐Chiew Han, Andrew J. Taberner, Nicolas P. Smith, Toan Pham, L. V. CHRISTENSEN, Wim N.P. Willemsen, Shawky E. Mohamed and Poul M. F. Nielsen and has published in prestigious journals such as PLoS ONE, The Journal of Physiology and Scientific Reports.

In The Last Decade

Kenneth Tran

57 papers receiving 612 citations

Peers

Kenneth Tran

CCM

EEE

Caiyun Wu China

Liqun Wu China

Wei-Chen Hsu Taiwan

Dimitris Parthimos United Kingdom

Xingfeng Li China

Yoshiaki Kawamura Japan

Alan P. Benson United Kingdom

S. Jones United States

Pan Liu China

Kai-Wen Lin United States

Caiyun Wu China

Kenneth Tran

131 ×0.4

CCM

237 ×1.3

18 ×0.3

4 ×0.1

11 ×0.2

EEE

Citations per year, relative to Kenneth Tran Kenneth Tran (= 1×) peers Caiyun Wu

Countries citing papers authored by Kenneth Tran

Since Specialization

Citations

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

Fields of papers citing papers by Kenneth Tran

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kenneth Tran

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

All Works

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20 of 20 papers shown

Fereydooni, Arash, Kenneth Tran, Jason T. Lee, et al.. (2025). Comparison of In-Person and Virtual Integrated Vascular Surgery Residency Interviews from the Applicant's Perspective. Annals of Vascular Surgery. 118. 113–121.

Rahmani, Maryam, Toan Pham, David J. Crossman, et al.. (2024). Sex differences in cardiac energetics in the rat ventricular muscle. Scientific Reports. 14(1). 31242–31242. 3 indexed citations

Han, June‐Chiew, et al.. (2024). Maximum Shortening Velocity and Power Are Reduced in a Human Cross-bridge Model of Type 2 Diabetes. Computing in cardiology. 51.

Han, June‐Chiew, et al.. (2023). Measuring and Modelling the Effect of Inorganic Phosphate on Cross-bridge Mechanics in Human Cardiac Muscle. PubMed. 2023. 1–4. 2 indexed citations

Pan, Michael, et al.. (2022). SBML to bond graphs: From conversion to composition. Mathematical Biosciences. 352. 108901–108901. 2 indexed citations

Pan, Michael, et al.. (2021). Hierarchical semantic composition of biosimulation models using bond graphs. PLoS Computational Biology. 17(5). e1008859–e1008859. 12 indexed citations

Loiselle, Denis S., Andrew J. Taberner, Kenneth Tran, & June‐Chiew Han. (2021). Thermodynamic inconsistency disproves the Suga-Sagawa theory of cardiac energetics. Progress in Biophysics and Molecular Biology. 164. 81–91. 3 indexed citations

Han, June‐Chiew, Kenneth Tran, David J. Crossman, et al.. (2021). Cardiac mechanical efficiency is preserved in primary cardiac hypertrophy despite impaired mechanical function. The Journal of General Physiology. 153(8). 6 indexed citations

Pham, Toan, Kenneth Tran, Denis S. Loiselle, et al.. (2020). Disruption of transverse‐tubular network reduces energy efficiency in cardiac muscle contraction. Acta Physiologica. 231(2). e13545–e13545. 2 indexed citations

10.

Pan, Michael, P.J. Gawthrop, Joseph Cursons, Kenneth Tran, & Edmund J. Crampin. (2020). The cardiac Na+/K+ ATPase: An updated, thermodynamically consistent model. 3 indexed citations

11.

Pan, Michael, P.J. Gawthrop, Joseph Cursons, Kenneth Tran, & Edmund J. Crampin. (2020). The cardiac Na+/K+ ATPase: An updated, thermodynamically consistent model. arXiv (Cornell University). 3 indexed citations

12.

Tran, Kenneth, Andrew J. Taberner, Denis S. Loiselle, & June‐Chiew Han. (2020). Energetics Equivalent of the Cardiac Force-Length End-Systolic Zone: Implications for Contractility and Economy of Contraction. Frontiers in Physiology. 10. 1633–1633. 12 indexed citations

13.

Grover, Aditya, Jiaming Song, Ashish Kapoor, et al.. (2019). Bias Correction of Learned Generative Models using Likelihood-Free Importance Weighting. arXiv (Cornell University). 32. 11056–11068. 6 indexed citations

14.

Tran, Kenneth, Denis S. Loiselle, Poul M. F. Nielsen, et al.. (2019). The slow force response to stretch: Controversy and contradictions. Acta Physiologica. 226(1). e13250–e13250. 14 indexed citations

15.

Pan, Michael, P.J. Gawthrop, Kenneth Tran, Joseph Cursons, & Edmund J. Crampin. (2019). A Thermodynamic Framework for Modelling Membrane Transporters. Biophysical Journal. 116(3). 420a–420a. 1 indexed citations

16.

Pan, Michael, P.J. Gawthrop, Kenneth Tran, Joseph Cursons, & Edmund J. Crampin. (2018). A thermodynamic framework for modelling membrane transporters. Journal of Theoretical Biology. 481. 10–23. 17 indexed citations

17.

Tran, Kenneth, Lea M.D. Delbridge, Anthony J. Hickey, et al.. (2018). Insights on the impact of mitochondrial organisation on bioenergetics in high-resolution computational models of cardiac cell architecture. PLoS Computational Biology. 14(12). e1006640–e1006640. 19 indexed citations

18.

Tran, Kenneth, et al.. (2018). Creatine-Kinase Shuttle and Rapid Mitochondrial Membrane Potential Conductivity are Needed Simultaneously to Maintain Uniform Metabolite Distributions in the Cardiac Cell Contraction Cycle. Biophysical Journal. 114(3). 550a–550a. 1 indexed citations

19.

Tran, Kenneth, et al.. (2014). Interocular acuity differences alter the size tuning function of stereopsis. Investigative Ophthalmology & Visual Science. 55(13). 752–752. 2 indexed citations

20.

Tran, Kenneth, et al.. (2014). Enhancing coarse-to-fine stereo vision by perceptual learning: An asymmetric transfer across spatial frequency spectrum. Investigative Ophthalmology & Visual Science. 55(13). 751–751. 1 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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