Chun‐Kuang Shih

1.5k total citations
46 papers, 1.2k citations indexed

About

Chun‐Kuang Shih is a scholar working on Molecular Biology, Physiology and Nutrition and Dietetics. According to data from OpenAlex, Chun‐Kuang Shih has authored 46 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Physiology and 8 papers in Nutrition and Dietetics. Recurrent topics in Chun‐Kuang Shih's work include Microbial Metabolism and Applications (6 papers), Diet and metabolism studies (5 papers) and Phytochemicals and Antioxidant Activities (4 papers). Chun‐Kuang Shih is often cited by papers focused on Microbial Metabolism and Applications (6 papers), Diet and metabolism studies (5 papers) and Phytochemicals and Antioxidant Activities (4 papers). Chun‐Kuang Shih collaborates with scholars based in Taiwan, Indonesia and United States. Chun‐Kuang Shih's co-authors include Sing‐Chung Li, Wenchang Chiang, Jung‐Su Chang, Hong-Jhang Chen, Chiao‐Ming Chen, Shih‐Min Hsia, Rong‐Hong Hsieh, Min‐Liang Kuo, Eddy Owaga and Hsing-Hsien Cheng and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Food Chemistry and International Journal of Molecular Sciences.

In The Last Decade

Chun‐Kuang Shih

45 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chun‐Kuang Shih Taiwan 23 354 258 197 166 160 46 1.2k
Tsung‐Yu Tsai Taiwan 21 515 1.5× 298 1.2× 190 1.0× 147 0.9× 92 0.6× 55 1.3k
Worapaka Manosroi Thailand 25 451 1.3× 203 0.8× 121 0.6× 104 0.6× 131 0.8× 117 1.8k
Beatriz Cabanillas Spain 25 689 1.9× 456 1.8× 168 0.9× 143 0.9× 130 0.8× 55 2.6k
Duygu Ağagündüz Türkiye 24 747 2.1× 473 1.8× 228 1.2× 67 0.4× 174 1.1× 79 1.8k
Yoonsook Kim South Korea 24 705 2.0× 426 1.7× 219 1.1× 134 0.8× 91 0.6× 94 1.8k
Ana Heloneida de Araújo Morais Brazil 22 442 1.2× 277 1.1× 194 1.0× 113 0.7× 29 0.2× 88 1.3k
Yukio Murakami Japan 25 584 1.6× 201 0.8× 83 0.4× 59 0.4× 152 0.9× 66 1.8k
Xiaoxiao Li China 17 765 2.2× 226 0.9× 240 1.2× 131 0.8× 37 0.2× 82 1.4k
Nawal Alsadi Canada 8 468 1.3× 260 1.0× 202 1.0× 43 0.3× 119 0.7× 14 1.5k
Beitullah Alipour Iran 17 760 2.1× 316 1.2× 268 1.4× 47 0.3× 95 0.6× 47 1.4k

Countries citing papers authored by Chun‐Kuang Shih

Since Specialization
Citations

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

Fields of papers citing papers by Chun‐Kuang Shih

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chun‐Kuang Shih

This figure shows the co-authorship network connecting the top 25 collaborators of Chun‐Kuang Shih. A scholar is included among the top collaborators of Chun‐Kuang Shih 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 Chun‐Kuang Shih. Chun‐Kuang Shih 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.
Tung, Yu‐Tang, Wen-Ling Lin, Ching‐Chiung Wang, et al.. (2023). Djulis Hull Enhances the Efficacy of Ferric Citrate Supplementation via Restoring Normal Iron Efflux through the IL-6–Hepcidin–Ferroportin Pathway in High-Fat-Diet-Induced Obese Rats. Journal of Agricultural and Food Chemistry. 71(44). 16691–16701. 2 indexed citations
2.
Yuan, Kuo-Ching, Yu-Chieh Lee, Chun‐Kuang Shih, et al.. (2020). Iron and Advanced Glycation End Products: Emerging Role of Iron in Androgen Deficiency in Obesity. Antioxidants. 9(3). 261–261. 11 indexed citations
3.
Chen, Chiao‐Ming, et al.. (2020). Iron Status of Infants in the First Year of Life in Northern Taiwan. Nutrients. 12(1). 139–139. 16 indexed citations
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Ho, Dang Khanh Ngan, et al.. (2020). Validity of image-based dietary assessment methods: A systematic review and meta-analysis. Clinical Nutrition. 39(10). 2945–2959. 30 indexed citations
6.
Chen, Hong-Jhang, et al.. (2019). Synbiotic Combination of Djulis (Chenopodium formosanum) and Lactobacillus acidophilus Inhibits Colon Carcinogenesis in Rats. Nutrients. 12(1). 103–103. 35 indexed citations
7.
Duong, Tuyen Van, Chun‐Kuang Shih, Te-Chih Wong, et al.. (2019). Insulin Resistance and Cardiovascular Risks in Different Groups of Hemodialysis Patients: A Multicenter Study. BioMed Research International. 2019. 1–9. 7 indexed citations
8.
Chen, Hong-Jhang, et al.. (2019). Djulis (Chenopodium Formosanum) Prevents Colon Carcinogenesis via Regulating Antioxidative and Apoptotic Pathways in Rats. Nutrients. 11(9). 2168–2168. 34 indexed citations
9.
Lin, Po‐Han, Chih-Chao Chang, Kwan‐Dun Wu, et al.. (2019). Dietary Glycotoxins, Advanced Glycation End Products, Inhibit Cell Proliferation and Progesterone Secretion in Ovarian Granulosa Cells and Mimic PCOS-Like Symptoms. Biomolecules. 9(8). 327–327. 28 indexed citations
10.
Tung, Yu‐Tang, et al.. (2019). Fish Oil, but Not Olive Oil, Ameliorates Depressive-Like Behavior and Gut Microbiota Dysbiosis in Rats under Chronic Mild Stress. Biomolecules. 9(10). 516–516. 28 indexed citations
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Shih, Chun‐Kuang, et al.. (2019). White Sweet Potato as Meal Replacement for Overweight White-Collar Workers: A Randomized Controlled Trial. Nutrients. 11(1). 165–165. 24 indexed citations
14.
Li, Sing‐Chung, et al.. (2019). Lactobacillus acidophilus-Fermented Germinated Brown Rice Suppresses Preneoplastic Lesions of the Colon in Rats. Nutrients. 11(11). 2718–2718. 31 indexed citations
15.
Shih, Chun‐Kuang, et al.. (2019). Soluble CD163-Associated Dietary Patterns and the Risk of Metabolic Syndrome. Nutrients. 11(4). 940–940. 8 indexed citations
16.
Chen, Chiao‐Ming, et al.. (2019). Evaluation of white sweet potato tube-feeding formula in elderly diabetic patients: a randomized controlled trial. Nutrition & Metabolism. 16(1). 70–70. 12 indexed citations
17.
Li, Sing‐Chung, et al.. (2018). Germinated brown rice combined with Lactobacillus acidophilus and Bifidobacterium animalis subsp. lactis inhibits colorectal carcinogenesis in rats. Food Science & Nutrition. 7(1). 216–224. 42 indexed citations
18.
Chen, Yi-Chun, et al.. (2018). Testosterone-Associated Dietary Pattern Predicts Low Testosterone Levels and Hypogonadism. Nutrients. 10(11). 1786–1786. 31 indexed citations
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20.
Shih, Chun‐Kuang, et al.. (2014). Service Learning for Medical Students: Program Development and Students' Reflections.. ˜The œturkish online journal of educational technology. 13(1). 193–198. 2 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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