Jason Tchao

593 total citations
10 papers, 448 citations indexed

About

Jason Tchao is a scholar working on Molecular Biology, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Jason Tchao has authored 10 papers receiving a total of 448 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Surgery and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Jason Tchao's work include Tissue Engineering and Regenerative Medicine (6 papers), Congenital heart defects research (4 papers) and Pluripotent Stem Cells Research (3 papers). Jason Tchao is often cited by papers focused on Tissue Engineering and Regenerative Medicine (6 papers), Congenital heart defects research (4 papers) and Pluripotent Stem Cells Research (3 papers). Jason Tchao collaborates with scholars based in United States. Jason Tchao's co-authors include Kimimasa Tobita, Brian M. Gillette, Samuel K. Sia, Jacob A. Jensen, Bo Lin, Lei Yang, Lu Han, Agnieszka Lis, Glenna C.L. Bett and Aaron D. Kaplan and has published in prestigious journals such as Advanced Materials, PLoS ONE and Biomaterials.

In The Last Decade

Jason Tchao

10 papers receiving 441 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jason Tchao United States 8 205 152 128 118 116 10 448
Birgit Goversen Netherlands 6 190 0.9× 258 1.7× 75 0.6× 130 1.1× 78 0.7× 11 510
Ross C. Bretherton United States 10 121 0.6× 112 0.7× 74 0.6× 75 0.6× 126 1.1× 13 373
Justin Morrissette‐McAlmon United States 9 84 0.4× 181 1.2× 138 1.1× 38 0.3× 172 1.5× 12 397
Hamish T. J. Gilbert United Kingdom 14 203 1.0× 137 0.9× 100 0.8× 23 0.2× 74 0.6× 18 687
Roberta Visone Italy 17 157 0.8× 488 3.2× 185 1.4× 34 0.3× 117 1.0× 35 652
Robert C. Coyle United States 10 346 1.7× 406 2.7× 332 2.6× 67 0.6× 144 1.2× 10 684
Jiajia Shi China 8 100 0.5× 133 0.9× 161 1.3× 28 0.2× 155 1.3× 23 517
George Kensah Germany 11 453 2.2× 404 2.7× 417 3.3× 76 0.6× 270 2.3× 18 886
Nian Shen Germany 11 158 0.8× 133 0.9× 144 1.1× 38 0.3× 139 1.2× 14 385
Raymond Wang United States 9 94 0.5× 189 1.2× 330 2.6× 48 0.4× 283 2.4× 13 482

Countries citing papers authored by Jason Tchao

Since Specialization
Citations

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

Fields of papers citing papers by Jason Tchao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jason Tchao

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

All Works

10 of 10 papers shown
1.
Shi, Zhong‐Dong, Jason Tchao, Ling Wu, & Aaron J. Carman. (2020). Precision installation of a highly efficient suicide gene safety switch in human induced pluripotent stem cells. Stem Cells Translational Medicine. 9(11). 1378–1388. 37 indexed citations
2.
Yoshizumi, Tomo, Yang Zhu, Hongbin Jiang, et al.. (2015). Timing effect of intramyocardial hydrogel injection for positively impacting left ventricular remodeling after myocardial infarction. Biomaterials. 83. 182–193. 65 indexed citations
3.
Tchao, Jason, Lu Han, Bo Lin, Lei Yang, & Kimimasa Tobita. (2014). Combined biophysical and soluble factor modulation induces cardiomyocyte differentiation from human muscle derived stem cells. Scientific Reports. 4(1). 6614–6614. 8 indexed citations
4.
Han, Lu, Yang Li, Jason Tchao, et al.. (2014). Study familial hypertrophic cardiomyopathy using patient-specific induced pluripotent stem cells. Cardiovascular Research. 104(2). 258–269. 146 indexed citations
5.
Tobita, Kimimasa & Jason Tchao. (2013). Perspectives: Cardiomyocytes from Skeletal Muscle Stem Cells for Cardiac Repair. 1 indexed citations
6.
Tchao, Jason, Bo Lin, Guy Salama, et al.. (2013). Engineered Human Muscle Tissue from Skeletal Muscle Derived Stem Cells and Induced Pluripotent Stem Cell Derived Cardiac Cells. PubMed. 2013. 1–15. 12 indexed citations
7.
Tchao, Jason, et al.. (2013). Concise Review: Skeletal Muscle Stem Cells and Cardiac Lineage: Potential for Heart Repair. Stem Cells Translational Medicine. 3(2). 183–193. 25 indexed citations
8.
Clause, Kelly C., Jason Tchao, Lijuan Liu, et al.. (2012). Developing Cardiac and Skeletal Muscle Share Fast-Skeletal Myosin Heavy Chain and Cardiac Troponin-I Expression. PLoS ONE. 7(7). e40725–e40725. 20 indexed citations
10.
Gillette, Brian M., et al.. (2009). Dynamic Hydrogels: Switching of 3D Microenvironments Using Two‐Component Naturally Derived Extracellular Matrices. Advanced Materials. 22(6). 686–691. 133 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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