Kuo‐Tong Liou

820 total citations
8 papers, 739 citations indexed

About

Kuo‐Tong Liou is a scholar working on Rehabilitation, Neurology and Organic Chemistry. According to data from OpenAlex, Kuo‐Tong Liou has authored 8 papers receiving a total of 739 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Rehabilitation, 3 papers in Neurology and 2 papers in Organic Chemistry. Recurrent topics in Kuo‐Tong Liou's work include Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Magnolia and Illicium research (2 papers) and Bioactive Compounds and Antitumor Agents (1 paper). Kuo‐Tong Liou is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Magnolia and Illicium research (2 papers) and Bioactive Compounds and Antitumor Agents (1 paper). Kuo‐Tong Liou collaborates with scholars based in Taiwan. Kuo‐Tong Liou's co-authors include Yuh‐Chiang Shen, Chieh-Fu Chen, Shen-Kou Tsai, Cheng‐Ming Tsao, Jyh‐Fei Liao, Jiin‐Cherng Yen, Wen-Yen Wang, Yueh‐Ching Chou, Yen-Jen Sung and Chia‐Che Chang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Brain Research and Journal of Neurochemistry.

In The Last Decade

Kuo‐Tong Liou

7 papers receiving 729 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kuo‐Tong Liou Taiwan	7	265	233	203	152	111	8	739
Yinye Wang China	14	213 0.8×	119 0.5×	71 0.3×	155 1.0×	104 0.9×	30	727
Kuo‐Tong Liou Taiwan	17	271 1.0×	117 0.5×	68 0.3×	116 0.8×	147 1.3×	22	727
Adnan Khan Pakistan	17	287 1.1×	69 0.3×	59 0.3×	215 1.4×	79 0.7×	26	856
Young Heui Kim South Korea	14	189 0.7×	153 0.7×	124 0.6×	78 0.5×	21 0.2×	17	572
Mi Kyung Pyo South Korea	22	660 2.5×	76 0.3×	109 0.5×	267 1.8×	69 0.6×	54	1.1k
Bushra Shal Pakistan	17	315 1.2×	53 0.2×	33 0.2×	196 1.3×	111 1.0×	27	883
Sheu‐Meei Yu Taiwan	15	418 1.6×	91 0.4×	114 0.6×	187 1.2×	13 0.1×	22	839
Kan Shimpo Japan	17	376 1.4×	52 0.2×	50 0.2×	88 0.6×	67 0.6×	48	965
Rongcai Yue China	16	311 1.2×	21 0.1×	116 0.6×	97 0.6×	55 0.5×	44	704
Hidehiko Beppu Japan	20	413 1.6×	41 0.2×	52 0.3×	122 0.8×	48 0.4×	53	1.1k

Countries citing papers authored by Kuo‐Tong Liou

Since Specialization

Citations

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

Fields of papers citing papers by Kuo‐Tong Liou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kuo‐Tong Liou. 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 Kuo‐Tong Liou. The network helps show where Kuo‐Tong Liou may publish in the future.

Co-authorship network of co-authors of Kuo‐Tong Liou

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

All Works

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8 of 8 papers shown

Shen, Yuh‐Chiang, Kuo‐Tong Liou, Wen‐Chi Wei, et al.. (2025). Synergistic protective effects of TCM formula NRICM102 and N-acetylcysteine against hepatorenal injury in a mouse model of bongkrekic acid poisoning. SHILAP Revista de lepidopterología. 16. 1596785–1596785.

Shen, Yuh‐Chiang, Jiin‐Cherng Yen, & Kuo‐Tong Liou. (2013). Ameliorative Effects of Caffeic Acid Phenethyl Ester on an Eccentric Exercise-Induced Skeletal Muscle Injury by Down-Regulating NF-kB Mediated Inflammation. Pharmacology. 91(3-4). 219–228. 21 indexed citations

Chern, Chang-Ming, et al.. (2011). Andrographolide Inhibits PI3K/AKT-Dependent NOX2 and iNOS Expression Protecting Mice against Hypoxia/Ischemia-Induced Oxidative Brain Injury. Planta Medica. 77(15). 1669–1679. 66 indexed citations

Shen, Yuh‐Chiang, Yea‐Hwey Wang, Yueh‐Ching Chou, et al.. (2007). Dimemorfan protects rats against ischemic stroke through activation of sigma‐1 receptor‐mediated mechanisms by decreasing glutamate accumulation. Journal of Neurochemistry. 104(2). 558–572. 66 indexed citations

Liou, Kuo‐Tong, et al.. (2006). Anti-inflammatory effects and mechanisms of the ethanol extract of Evodia rutaecarpa and its bioactive components on neutrophils and microglial cells. European Journal of Pharmacology. 555(2-3). 211–217. 121 indexed citations

Wang, Wen-Yen, Chia‐Che Chang, Kuo‐Tong Liou, et al.. (2005). Taxifolin ameliorates cerebral ischemia-reperfusion injury in rats through its anti-oxidative effect and modulation of NF-kappa B activation. Journal of Biomedical Science. 13(1). 127–141. 168 indexed citations

Liou, Kuo‐Tong, Yuh‐Chiang Shen, Chieh-Fu Chen, Cheng‐Ming Tsao, & Shen-Kou Tsai. (2003). Honokiol protects rat brain from focal cerebral ischemia–reperfusion injury by inhibiting neutrophil infiltration and reactive oxygen species production. Brain Research. 992(2). 159–166. 144 indexed citations

Liou, Kuo‐Tong, Yuh‐Chiang Shen, Chieh-Fu Chen, Cheng‐Ming Tsao, & Shen-Kou Tsai. (2003). The anti-inflammatory effect of honokiol on neutrophils: mechanisms in the inhibition of reactive oxygen species production. European Journal of Pharmacology. 475(1-3). 19–27. 153 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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