Chau‐Jong Wang

10.8k total citations
190 papers, 8.9k citations indexed

About

Chau‐Jong Wang is a scholar working on Molecular Biology, Pharmacology and Cancer Research. According to data from OpenAlex, Chau‐Jong Wang has authored 190 papers receiving a total of 8.9k indexed citations (citations by other indexed papers that have themselves been cited), including 93 papers in Molecular Biology, 63 papers in Pharmacology and 29 papers in Cancer Research. Recurrent topics in Chau‐Jong Wang's work include Hibiscus Plant Research Studies (34 papers), Genomics, phytochemicals, and oxidative stress (21 papers) and Phytochemicals and Antioxidant Activities (21 papers). Chau‐Jong Wang is often cited by papers focused on Hibiscus Plant Research Studies (34 papers), Genomics, phytochemicals, and oxidative stress (21 papers) and Phytochemicals and Antioxidant Activities (21 papers). Chau‐Jong Wang collaborates with scholars based in Taiwan, United States and France. Chau‐Jong Wang's co-authors include Tsui‐Hwa Tseng, Fen‐Pi Chou, Mon‐Yuan Yang, Hui‐Pei Huang, Chia-Yih Chu, Chiung‐Huei Peng, Jeng‐Dong Hsu, Kuei‐Chuan Chan, Yun‐Ching Chang and Chien‐Ning Huang and has published in prestigious journals such as PLoS ONE, Journal of Agricultural and Food Chemistry and Scientific Reports.

In The Last Decade

Chau‐Jong Wang

188 papers receiving 8.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chau‐Jong Wang Taiwan 53 3.3k 2.5k 2.0k 1.8k 1.1k 190 8.9k
Shengmin Sang United States 62 3.5k 1.1× 1.7k 0.7× 2.0k 1.0× 4.1k 2.2× 918 0.8× 242 12.6k
Chun‐Ching Lin Taiwan 56 3.5k 1.1× 1.8k 0.7× 2.3k 1.2× 833 0.5× 1.3k 1.2× 148 8.2k
Ramadasan Kuttan India 47 2.3k 0.7× 1.8k 0.7× 1.9k 0.9× 1.2k 0.7× 829 0.8× 136 8.0k
Elke H. Heiß Austria 41 4.1k 1.2× 1.1k 0.5× 1.6k 0.8× 880 0.5× 919 0.8× 125 7.9k
Sarwat Sultana India 47 2.6k 0.8× 1.6k 0.6× 1.3k 0.7× 730 0.4× 695 0.6× 194 7.5k
Takuji Tanaka Japan 65 6.6k 2.0× 1.2k 0.5× 1.9k 0.9× 2.3k 1.2× 1.7k 1.6× 409 14.7k
Muhammad Imran Pakistan 38 2.5k 0.8× 881 0.3× 1.5k 0.7× 1.5k 0.9× 815 0.7× 123 7.8k
Sam Sik Kang South Korea 62 6.6k 2.0× 1.9k 0.7× 3.5k 1.7× 1.4k 0.8× 1.9k 1.8× 265 11.9k
Toshio Morikawa Japan 64 6.1k 1.9× 2.3k 0.9× 3.8k 1.9× 1.4k 0.8× 1.4k 1.3× 298 11.5k
Jinyong Peng China 56 4.6k 1.4× 1.4k 0.6× 1.1k 0.6× 533 0.3× 732 0.7× 220 9.3k

Countries citing papers authored by Chau‐Jong Wang

Since Specialization
Citations

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

Fields of papers citing papers by Chau‐Jong Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chau‐Jong Wang. 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 Chau‐Jong Wang. The network helps show where Chau‐Jong Wang may publish in the future.

Co-authorship network of co-authors of Chau‐Jong Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Chau‐Jong Wang. A scholar is included among the top collaborators of Chau‐Jong Wang 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 Chau‐Jong Wang. Chau‐Jong Wang 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.
2.
Tsai, Ming‐Chang, Chi‐Chih Wang, Mon‐Yuan Yang, et al.. (2024). Improving the Effects of Mulberry Leaves and Neochlorogenic Acid on Glucotoxicity-Induced Hepatic Steatosis in High Fat Diet Treated db/db Mice. Journal of Agricultural and Food Chemistry. 72(12). 6339–6346. 8 indexed citations
3.
Sheu, Ming‐Jen, Mei-Chen Yeh, Ming‐Chang Tsai, et al.. (2023). Glucosinolates Extracts from Brassica juncea Ameliorate HFD-Induced Non-Alcoholic Steatohepatitis. Nutrients. 15(16). 3497–3497. 4 indexed citations
4.
5.
Hung, Tung‐Wei, et al.. (2022). Acarbose Protects Glucolipotoxicity-Induced Diabetic Nephropathy by Inhibiting Ras Expression in High-Fat Diet-Fed db/db Mice. International Journal of Molecular Sciences. 23(23). 15312–15312. 4 indexed citations
6.
Hung, Tung‐Wei, Chi‐Chih Wang, Sheng‐Wen Wu, et al.. (2021). Neochlorogenic Acid Attenuates Hepatic Lipid Accumulation and Inflammation via Regulating miR-34a In Vitro. International Journal of Molecular Sciences. 22(23). 13163–13163. 43 indexed citations
7.
Peng, Chiung‐Huei, et al.. (2017). Mulberry Leaf Extracts prevent obesity-induced NAFLD with regulating adipocytokines, inflammation and oxidative stress. Journal of Food and Drug Analysis. 26(2). 778–787. 69 indexed citations
8.
Chen, Shuchun, et al.. (2017). Gallic acid inhibits bladder cancer cell proliferation and migration via regulating fatty acid synthase (FAS). Journal of Food and Drug Analysis. 26(2). 620–627. 49 indexed citations
9.
10.
Lee, Yi‐Chieh, et al.. (2010). Inhibitory effects of andrographolide on migration and invasion in human non-small cell lung cancer A549 cells via down-regulation of PI3K/Akt signaling pathway. European Journal of Pharmacology. 632(1-3). 23–32. 150 indexed citations
11.
Huang, Hui‐Pei, et al.. (2007). Effect of Hibiscus anthocyanins‐rich extract induces apoptosis of proliferating smooth muscle cell via activation of P38 MAPK and p53 pathway. Molecular Nutrition & Food Research. 51(12). 1452–1460. 40 indexed citations
12.
Hsieh, Yih‐Shou, et al.. (2006). Inhibitory effect of berberine on the invasion of human lung cancer cells via decreased productions of urokinase-plasminogen activator and matrix metalloproteinase-2. Toxicology and Applied Pharmacology. 214(1). 8–15. 134 indexed citations
13.
Chang, Horng‐Rong, Jong‐Da Lian, Chia-Wen Lo, Hui‐Pei Huang, & Chau‐Jong Wang. (2006). Aristolochic acid-induced cell cycle G1 arrest in human urothelium SV-HUC-1 cells. Food and Chemical Toxicology. 45(3). 396–402. 17 indexed citations
14.
Chang, Horng-Rong, et al.. (2005). Formation of 8-nitroguanine in blood of patients with inflammatory gouty arthritis. Clinica Chimica Acta. 362(1-2). 170–175. 6 indexed citations
15.
Young, Shun‐Chieh, Chau‐Jong Wang, Jeng‐Dong Hsu, Jui‐Ling Hsu, & Fen‐Pi Chou. (2005). Increased sensitivity of Hep G2 cells toward the cytotoxicity of cisplatin by the treatment of piper betel leaf extract. Archives of Toxicology. 80(6). 319–327. 23 indexed citations
16.
Chang, Chi-Sen, Weina Chen, Hui‐Hsuan Lin, Cheng-Chung Wu, & Chau‐Jong Wang. (2004). Increased oxidative DNA damage, inducible nitric oxide synthase, nuclear factor κ B expression and enhanced antiapoptosis-related proteins inHelicobacter pylori-infected non-cardiac gastric adenocarcinoma. World Journal of Gastroenterology. 10(15). 2232–2232. 42 indexed citations
17.
Hsu, Jeng‐Dong, et al.. (2002). Induction of epidermal proliferation and expressions of PKC and NF-κB by betel quid extracts in mouse: the role of lime-piper additives in betel quid. Chemico-Biological Interactions. 140(1). 35–48. 12 indexed citations
18.
Chu, Chia-Yih, et al.. (2001). Induction of apoptosis by esculetin in human leukemia cells. European Journal of Pharmacology. 416(1-2). 25–32. 96 indexed citations
19.
Hsieh, Yih-Shou, et al.. (2001). Gaseous Nitric Oxide-Induced 8-Nitroguanine Formation in Human Lung Fibroblast Cells and Cell-Free DNA. Toxicology and Applied Pharmacology. 172(3). 210–216. 27 indexed citations
20.
Wang, Chau‐Jong, et al.. (1992). Inhibitory effect of geniposide on aflatoxin B1-induced DNA repair synthesis in primary cultured rat hepatocytes. Cancer Letters. 65(2). 133–137. 34 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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