Kuang‐Tse Huang

1.1k total citations
20 papers, 911 citations indexed

About

Kuang‐Tse Huang is a scholar working on Physiology, Molecular Biology and Cell Biology. According to data from OpenAlex, Kuang‐Tse Huang has authored 20 papers receiving a total of 911 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Physiology, 6 papers in Molecular Biology and 5 papers in Cell Biology. Recurrent topics in Kuang‐Tse Huang's work include Nitric Oxide and Endothelin Effects (8 papers), Hemoglobin structure and function (5 papers) and Atherosclerosis and Cardiovascular Diseases (4 papers). Kuang‐Tse Huang is often cited by papers focused on Nitric Oxide and Endothelin Effects (8 papers), Hemoglobin structure and function (5 papers) and Atherosclerosis and Cardiovascular Diseases (4 papers). Kuang‐Tse Huang collaborates with scholars based in Taiwan, United States and China. Kuang‐Tse Huang's co-authors include James C. Liao, Lih Kuo, Mark W. Vaughn, Travis W. Hein, Tsao‐Jen Lin, Chia‐Yu Liu, Ben‐Zu Wan, Helga Van Herle, Tae Hee Han and Cuihua Zhang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Analytical Chemistry.

In The Last Decade

Kuang‐Tse Huang

19 papers receiving 891 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kuang‐Tse Huang Taiwan 10 480 301 293 122 97 20 911
Kiminori Miyazaki Japan 8 386 0.8× 40 0.1× 232 0.8× 60 0.5× 61 0.6× 14 872
Eizo Marutani United States 20 278 0.6× 87 0.3× 662 2.3× 212 1.7× 66 0.7× 40 1.6k
Koji Ichimori Japan 10 345 0.7× 56 0.2× 237 0.8× 50 0.4× 105 1.1× 10 798
Anthony W. DeMartino United States 14 133 0.3× 84 0.3× 149 0.5× 25 0.2× 120 1.2× 27 603
Deyang Yu China 23 443 0.9× 97 0.3× 523 1.8× 73 0.6× 36 0.4× 64 2.0k
Daniel Winnica United States 15 319 0.7× 64 0.2× 409 1.4× 29 0.2× 37 0.4× 21 1.0k
Lauriane Y. M. Michel Belgium 12 256 0.5× 49 0.2× 388 1.3× 25 0.2× 223 2.3× 21 944
Dieter Lehner Austria 7 343 0.7× 75 0.2× 193 0.7× 18 0.1× 88 0.9× 7 630
Xinxin Xiang China 18 262 0.5× 41 0.1× 387 1.3× 228 1.9× 26 0.3× 46 1.2k
Cheol Soo Choi South Korea 22 224 0.5× 98 0.3× 633 2.2× 27 0.2× 36 0.4× 48 1.4k

Countries citing papers authored by Kuang‐Tse Huang

Since Specialization
Citations

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

Fields of papers citing papers by Kuang‐Tse Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kuang‐Tse Huang. 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 Kuang‐Tse Huang. The network helps show where Kuang‐Tse Huang may publish in the future.

Co-authorship network of co-authors of Kuang‐Tse Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Kuang‐Tse Huang. A scholar is included among the top collaborators of Kuang‐Tse Huang 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 Kuang‐Tse Huang. Kuang‐Tse Huang 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.
Wang, Feng‐Sheng, Ching‐Zong Wu, & Kuang‐Tse Huang. (2025). Identification of Anticancer Target Combinations to Treat Pancreatic Cancer and Its Associated Cachexia Using Constraint-Based Modeling. Molecules. 30(15). 3200–3200.
2.
Huang, Kuang‐Tse, et al.. (2023). Erythroid anion Exchanger-1 (band 3) transports nitrite for nitric oxide metabolism. Free Radical Biology and Medicine. 210. 237–245. 2 indexed citations
3.
4.
Hsu, Kate, Wei‐Chin Tseng, Kuang‐Tse Huang, et al.. (2021). Comodulation of NO-Dependent Vasodilation by Erythroid Band 3 and Hemoglobin: A GP.Mur Athlete Study. Frontiers in Cardiovascular Medicine. 8. 740100–740100. 5 indexed citations
5.
Huang, Kuang‐Tse, et al.. (2016). CRP/oxLDL co-incubates impair endothelial functions through CD32, LOX-1, and keratin 1 with dependence on their ratio. Journal of the Taiwan Institute of Chemical Engineers. 64. 16–21. 1 indexed citations
6.
Huang, Kuang‐Tse, et al.. (2015). Keratin-1 is a novel binding protein for C-reactive protein on the membrane of endothelial cells. Journal of the Taiwan Institute of Chemical Engineers. 55. 7–11. 2 indexed citations
7.
Huang, Kuang‐Tse, et al.. (2010). Determination of cyclic GMP concentration using a gold nanoparticle-modified optical fiber. Biosensors and Bioelectronics. 26(1). 11–15. 6 indexed citations
8.
Lin, Yen-Lin & Kuang‐Tse Huang. (2009). Hemoglobin Conjugated with a Band 3 N-terminus Derived Peptide as an Oxygen Carrier. Artificial Cells Blood Substitutes and Biotechnology. 37(1). 32–40. 1 indexed citations
9.
Lin, Tin‐Kwang, et al.. (2007). Superoxide counteracts low-density lipoprotein-induced human aortic smooth muscle cell proliferation. Journal of Bioscience and Bioengineering. 104(3). 157–162. 2 indexed citations
10.
Huang, Kuang‐Tse, et al.. (2006). H2O2 but not $${\hbox{O}_{2}^{-}}$$ elevated by oxidized LDL enhances human aortic smooth muscle cell proliferation. Journal of Biomedical Science. 14(2). 245–254. 23 indexed citations
11.
Lin, Tsao‐Jen, Kuang‐Tse Huang, & Chia‐Yu Liu. (2006). Determination of organophosphorous pesticides by a novel biosensor based on localized surface plasmon resonance. Biosensors and Bioelectronics. 22(4). 513–518. 116 indexed citations
12.
Huang, Kuang‐Tse, et al.. (2005). Superoxide determines nitric oxide uptake rate by vascular smooth muscle cells. FEBS Letters. 579(20). 4349–4354. 8 indexed citations
13.
Huang, Kuang‐Tse, Tae Hee Han, Daniel R. Hyduke, et al.. (2001). Modulation of nitric oxide bioavailability by erythrocytes. Proceedings of the National Academy of Sciences. 98(20). 11771–11776. 142 indexed citations
14.
Vaughn, Mark W., Kuang‐Tse Huang, Lih Kuo, & James C. Liao. (2001). Erythrocyte Consumption of Nitric Oxide: Competition Experiment and Model Analysis. Nitric Oxide. 5(4). 425–425. 3 indexed citations
15.
Vaughn, Mark W., Kuang‐Tse Huang, Lih Kuo, & James C. Liao. (2000). Erythrocytes Possess an Intrinsic Barrier to Nitric Oxide Consumption. Journal of Biological Chemistry. 275(4). 2342–2348. 183 indexed citations
16.
Chen, Hau‐Ren, et al.. (1999). Cef1p Is a Component of the Prp19p-associated Complex and Essential for Pre-mRNA Splicing. Journal of Biological Chemistry. 274(14). 9455–9462. 75 indexed citations
17.
Liao, James C., Travis W. Hein, Mark W. Vaughn, Kuang‐Tse Huang, & Lih Kuo. (1999). Intravascular flow decreases erythrocyte consumption of nitric oxide. Proceedings of the National Academy of Sciences. 96(15). 8757–8761. 248 indexed citations
18.
Huang, Kuang‐Tse, Lih Kuo, & James C. Liao. (1998). Lipopolysaccharide Activates Endothelial Nitric Oxide Synthase through Protein Tyrosine Kinase. Biochemical and Biophysical Research Communications. 245(1). 33–37. 24 indexed citations
19.
Huang, Kuang‐Tse, et al.. (1994). Ethane Oxydehydrogenation over Supported Vanadium Oxides. Industrial & Engineering Chemistry Research. 33(9). 2066–2072. 28 indexed citations
20.
Wan, Ben‐Zu & Kuang‐Tse Huang. (1991). MnAPO-5 as a catalyst for ethane oxydehydrogenation. Applied Catalysis. 73(1). 113–124. 25 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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