Race L. Kao

5.5k total citations
100 papers, 4.5k citations indexed

About

Race L. Kao is a scholar working on Surgery, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Race L. Kao has authored 100 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Surgery, 33 papers in Molecular Biology and 26 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Race L. Kao's work include Cardiac Ischemia and Reperfusion (21 papers), Immune Response and Inflammation (20 papers) and Tissue Engineering and Regenerative Medicine (19 papers). Race L. Kao is often cited by papers focused on Cardiac Ischemia and Reperfusion (21 papers), Immune Response and Inflammation (20 papers) and Tissue Engineering and Regenerative Medicine (19 papers). Race L. Kao collaborates with scholars based in United States, China and Australia. Race L. Kao's co-authors include Chuanfu Li, Tuanzhu Ha, David L. Williams, Jim Kelley, John H. Kalbfleisch, Ray C.‐J. Chiu, Xiang Gao, Audrius Zibaitis, Fang Hua and Howard E. Morgan and has published in prestigious journals such as Nature, Journal of Biological Chemistry and The Journal of Immunology.

In The Last Decade

Race L. Kao

100 papers receiving 4.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Race L. Kao United States 40 1.8k 1.1k 1.1k 1.0k 689 100 4.5k
Maike Krenz United States 28 2.1k 1.2× 390 0.4× 572 0.5× 982 0.9× 344 0.5× 52 4.4k
Andrew A. Protter United States 43 2.2k 1.2× 910 0.9× 939 0.9× 1.4k 1.4× 650 0.9× 80 6.0k
Masataka Majima Japan 46 2.0k 1.1× 881 0.8× 923 0.9× 915 0.9× 494 0.7× 255 6.8k
Tianqing Peng Canada 43 3.5k 2.0× 866 0.8× 519 0.5× 1.5k 1.4× 1.2k 1.8× 113 6.0k
Krishna Singh United States 43 3.4k 1.9× 519 0.5× 676 0.6× 2.6k 2.4× 540 0.8× 109 6.7k
Ganesh V. Halade United States 41 1.7k 1.0× 670 0.6× 664 0.6× 1.6k 1.5× 412 0.6× 129 4.6k
Qingping Feng Canada 35 2.0k 1.1× 389 0.4× 648 0.6× 1.4k 1.4× 367 0.5× 140 4.6k
Rajesh Katare New Zealand 45 2.5k 1.4× 231 0.2× 1.0k 1.0× 1.3k 1.2× 789 1.1× 134 5.2k
Douglas B. Cowan United States 34 2.3k 1.3× 240 0.2× 906 0.9× 659 0.6× 345 0.5× 109 4.2k
Nanette H. Bishopric United States 39 3.7k 2.1× 340 0.3× 716 0.7× 1.6k 1.5× 944 1.4× 80 6.3k

Countries citing papers authored by Race L. Kao

Since Specialization
Citations

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

Fields of papers citing papers by Race L. Kao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Race L. Kao. 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 Race L. Kao. The network helps show where Race L. Kao may publish in the future.

Co-authorship network of co-authors of Race L. Kao

This figure shows the co-authorship network connecting the top 25 collaborators of Race L. Kao. A scholar is included among the top collaborators of Race L. Kao 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 Race L. Kao. Race L. Kao 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.
Ma, He, Xiaohui Wang, Tuanzhu Ha, et al.. (2016). MicroRNA-125b Prevents Cardiac Dysfunction in Polymicrobial Sepsis by Targeting TRAF6-Mediated Nuclear Factor κB Activation and p53-Mediated Apoptotic Signaling. The Journal of Infectious Diseases. 214(11). 1773–1783. 85 indexed citations
2.
Zhang, Xia, Tuanzhu Ha, Fred C. Lam, et al.. (2014). Poly (I:C) therapy decreases cerebral ischaemia/reperfusion injury via TLR3‐mediated prevention of Fas/FADD interaction. Journal of Cellular and Molecular Medicine. 19(3). 555–565. 23 indexed citations
3.
Chen, Lu, Danyang Ren, Xiaohui Wang, et al.. (2013). Toll-like receptor 3 plays a role in myocardial infarction and ischemia/reperfusion injury. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1842(1). 22–31. 62 indexed citations
4.
Kao, Race L., et al.. (2013). Cellular Cardiomyoplasty: Its Past, Present, and Future. Methods in molecular biology. 1036. 1–17. 6 indexed citations
5.
Li, Chuanfu, Fang Hua, Tuanzhu Ha, et al.. (2012). Activation of Myocardial Phosphoinositide-3-Kinase p110α Ameliorates Cardiac Dysfunction and Improves Survival in Polymicrobial Sepsis. PLoS ONE. 7(9). e44712–e44712. 21 indexed citations
6.
Ha, Tuanzhu, Li Liu, Jim Kelley, et al.. (2010). Toll-Like Receptors: New Players in Myocardial Ischemia/Reperfusion Injury. Antioxidants and Redox Signaling. 15(7). 1875–1893. 92 indexed citations
7.
Ha, Tuanzhu, Luwei Liu, Lu Chen, et al.. (2010). TLR2 ligands induce cardioprotection against ischaemia/reperfusion injury through a PI3K/Akt-dependent mechanism. Cardiovascular Research. 87(4). 694–703. 92 indexed citations
8.
Hua, Fang, Jing Ma, Tuanzhu Ha, et al.. (2009). Differential roles of TLR2 and TLR4 in acute focal cerebral ischemia/reperfusion injury in mice. Brain Research. 1262. 100–108. 134 indexed citations
9.
Hua, Fang, Jing Ma, Tuanzhu Ha, et al.. (2008). Preconditioning with a TLR2 specific ligand increases resistance to cerebral ischemia/reperfusion injury. Journal of Neuroimmunology. 199(1-2). 75–82. 85 indexed citations
10.
11.
Li, Yuehua, Tuanzhu Ha, Xiang Gao, et al.. (2004). NF-κB activation is required for the development of cardiac hypertrophy in vivo. American Journal of Physiology-Heart and Circulatory Physiology. 287(4). H1712–H1720. 149 indexed citations
12.
Kao, Race L.. (2001). Autologous Satellite Cells for Myocardial Regeneration. Digital Commons - East Tennessee State University (East Tennessee State University). 2(1). 1–8. 5 indexed citations
13.
14.
Demmy, Todd L., Jack J. Curtis, Race L. Kao, Richard A. Schmaltz, & Joseph T. Walls. (1997). Load-insensitive measurements from an isolated perfused biventricular working rat heart. Journal of Biomedical Science. 4(2-3). 111–119. 32 indexed citations
15.
Magovern, James A., et al.. (1991). Indications and risk analysis for clinical cardiomyoplasty.. PubMed. 3(2). 145–8. 18 indexed citations
16.
Demmy, Todd L., James A. Magovern, Race L. Kao, & George J. Magovern. (1991). Resuscitation of injured myocardium with adenosine and biventricular assist. The Annals of Thoracic Surgery. 52(5). 1044–1051. 10 indexed citations
17.
Kao, Race L., Ignacio Y. Christlieb, George J. Magovern, Sang B. Park, & George J. Magovern. (1990). The importance of skeletal muscle fiber orientation for dynamic cardiomyoplasty. Journal of Thoracic and Cardiovascular Surgery. 99(1). 134–140. 44 indexed citations
18.
Magovern, George J., Frederick R. Heckler, Sang B. Park, et al.. (1988). Paced Skeletal Muscle for Dynamic Cardiomyoplasty. The Annals of Thoracic Surgery. 45(6). 614–625. 66 indexed citations
19.
Christlieb, Ignacio Y., Race L. Kao, George A. Liebler, et al.. (1987). Recovery of the failing canine heart with biventricular support in a previously fatal experimental model. Journal of Thoracic and Cardiovascular Surgery. 94(5). 656–663. 20 indexed citations
20.
Kao, Race L., et al.. (1986). Prevention of reperfusional damage from ischemic myocardium. Journal of Thoracic and Cardiovascular Surgery. 91(1). 106–114. 19 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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