Chia-Chung Hou

591 total citations
8 papers, 471 citations indexed

About

Chia-Chung Hou is a scholar working on Molecular Biology, Complementary and alternative medicine and Biotechnology. According to data from OpenAlex, Chia-Chung Hou has authored 8 papers receiving a total of 471 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Complementary and alternative medicine and 2 papers in Biotechnology. Recurrent topics in Chia-Chung Hou's work include Herbal Medicine Research Studies (3 papers), Toxin Mechanisms and Immunotoxins (2 papers) and Transgenic Plants and Applications (2 papers). Chia-Chung Hou is often cited by papers focused on Herbal Medicine Research Studies (3 papers), Toxin Mechanisms and Immunotoxins (2 papers) and Transgenic Plants and Applications (2 papers). Chia-Chung Hou collaborates with scholars based in Taiwan and Czechia. Chia-Chung Hou's co-authors include Wen‐Chin Yang, Todd Hsu, Guo‐Jane Tsai, Chi‐Chang Huang, Cicero Lee‐Tian Chang, Lie‐Fen Shyur, Wen-Ching Huang, Hsiao-Li Chuang, Chin-Shan Ho and Ming-Fu Wang and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Molecules and Journal of Ethnopharmacology.

In The Last Decade

Chia-Chung Hou

8 papers receiving 452 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chia-Chung Hou Taiwan	8	162	119	82	74	71	8	471
Fenglin Li China	12	233 1.4×	57 0.5×	65 0.8×	105 1.4×	73 1.0×	37	565
Su-Hyeon Cho South Korea	11	163 1.0×	38 0.3×	78 1.0×	95 1.3×	34 0.5×	30	431
Nathalia Santos Carvalho Brazil	10	179 1.1×	74 0.6×	39 0.5×	163 2.2×	89 1.3×	20	592
Tae Hyung Jo South Korea	10	119 0.7×	113 0.9×	37 0.5×	337 4.6×	74 1.0×	11	545
Xiaozhi Xi China	12	332 2.0×	58 0.5×	30 0.4×	200 2.7×	111 1.6×	20	662
Yong‐Tae Jeong South Korea	13	165 1.0×	42 0.4×	75 0.9×	106 1.4×	63 0.9×	21	453
Ji‐Hyun Hwang South Korea	8	147 0.9×	26 0.2×	55 0.7×	43 0.6×	28 0.4×	23	483
Hee Sun Hwang South Korea	12	228 1.4×	37 0.3×	54 0.7×	106 1.4×	49 0.7×	18	609
Eun‐Hwa Sohn South Korea	12	168 1.0×	29 0.2×	140 1.7×	71 1.0×	46 0.6×	37	462
Na-Hyun Kim South Korea	14	174 1.1×	33 0.3×	21 0.3×	86 1.2×	40 0.6×	47	496

Countries citing papers authored by Chia-Chung Hou

Since Specialization

Citations

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

Fields of papers citing papers by Chia-Chung Hou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chia-Chung Hou. 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 Chia-Chung Hou. The network helps show where Chia-Chung Hou may publish in the future.

Co-authorship network of co-authors of Chia-Chung Hou

This figure shows the co-authorship network connecting the top 25 collaborators of Chia-Chung Hou. A scholar is included among the top collaborators of Chia-Chung Hou 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 Chia-Chung Hou. Chia-Chung Hou 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

Ko, Huey-Jiun, Shean‐Jaw Chiou, Cheng-Yu Tsai, et al.. (2022). BMX, a specific HDAC8 inhibitor, with TMZ for advanced CRC therapy: a novel synergic effect to elicit p53-, β-catenin- and MGMT-dependent apoptotic cell death. Cell Communication and Signaling. 20(1). 200–200. 9 indexed citations

Huang, Chi‐Chang, et al.. (2014). Use of urinary metabolomics to evaluate the effect of hyperuricemia on the kidney. Food and Chemical Toxicology. 74. 35–44. 22 indexed citations

Huang, Wen-Ching, Ming-Fu Wang, Chin-Shan Ho, et al.. (2012). Pumpkin (Cucurbita moschata) Fruit Extract Improves Physical Fatigue and Exercise Performance in Mice. Molecules. 17(10). 11864–11876. 89 indexed citations

Hou, Chia-Chung, Chi‐Chang Huang, & Lie‐Fen Shyur. (2011). Echinacea Alkamides Prevent Lipopolysaccharide/d-Galactosamine- Induced Acute Hepatic Injury through JNK Pathway-Mediated HO-1 Expression. Journal of Agricultural and Food Chemistry. 59(22). 11966–11974. 25 indexed citations

Hou, Chia-Chung, et al.. (2010). Anti‐Hyperglycemic Properties of Crude Extract and Triterpenes from Poria cocos. Evidence-based Complementary and Alternative Medicine. 2011(1). 78 indexed citations

Hsu, Todd, et al.. (2010). Anti-inflammatory properties of phenolic compounds and crude extract from Porphyra dentata. Journal of Ethnopharmacology. 128(1). 123–130. 161 indexed citations

Staniforth, Vanisree, Ming‐Tsang Chiao, Chia-Chung Hou, et al.. (2008). Genomics and proteomics of immune modulatory effects of a butanol fraction of echinacea purpurea in human dendritic cells. BMC Genomics. 9(1). 479–479. 37 indexed citations

Chiao, Ming‐Tsang, Chia-Chung Hou, Shih‐Chang Chien, et al.. (2006). Modulatory effects of Echinacea purpurea extracts on human dendritic cells: A cell- and gene-based study. Genomics. 88(6). 801–808. 50 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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