Mei‐Chin Mong

1.6k total citations
51 papers, 1.4k citations indexed

About

Mei‐Chin Mong is a scholar working on Molecular Biology, Cancer Research and Pathology and Forensic Medicine. According to data from OpenAlex, Mei‐Chin Mong has authored 51 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 14 papers in Cancer Research and 7 papers in Pathology and Forensic Medicine. Recurrent topics in Mei‐Chin Mong's work include Protease and Inhibitor Mechanisms (7 papers), Medicinal Plants and Neuroprotection (5 papers) and Genomics, phytochemicals, and oxidative stress (4 papers). Mei‐Chin Mong is often cited by papers focused on Protease and Inhibitor Mechanisms (7 papers), Medicinal Plants and Neuroprotection (5 papers) and Genomics, phytochemicals, and oxidative stress (4 papers). Mei‐Chin Mong collaborates with scholars based in Taiwan, United States and Japan. Mei‐Chin Mong's co-authors include Mei‐chin Yin, Che‐Yi Chao, Kung‐Chi Chan, Chia-Yu Lin, Ming‐Cheng Lin, Wen‐Hu Liu, Shih-Jei Tsai, Chien‐Yi Chan, Ya–Chen Yang and Chin‐Shiu Huang and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Mei‐Chin Mong

49 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mei‐Chin Mong Taiwan 17 544 205 205 192 188 51 1.4k
Yoo‐Hyun Lee South Korea 21 909 1.7× 185 0.9× 165 0.8× 198 1.0× 147 0.8× 72 1.7k
Jung‐Mi Yun South Korea 24 862 1.6× 209 1.0× 200 1.0× 146 0.8× 151 0.8× 60 1.8k
Jeong Sook Noh South Korea 23 563 1.0× 286 1.4× 264 1.3× 204 1.1× 278 1.5× 71 1.4k
Na Young Yoon South Korea 22 575 1.1× 134 0.7× 192 0.9× 136 0.7× 149 0.8× 49 1.6k
Raosaheb K. Kale India 21 456 0.8× 162 0.8× 241 1.2× 163 0.8× 252 1.3× 34 1.5k
Dicson Sheeja Malar India 20 471 0.9× 182 0.9× 195 1.0× 189 1.0× 98 0.5× 33 1.3k
Jin‐Wen Xu China 22 575 1.1× 398 1.9× 239 1.2× 195 1.0× 165 0.9× 60 1.6k
Amany A.E. Ahmed Egypt 27 597 1.1× 153 0.7× 268 1.3× 197 1.0× 223 1.2× 99 1.9k
Chau‐Jong Wang Taiwan 19 513 0.9× 224 1.1× 169 0.8× 104 0.5× 123 0.7× 32 1.2k
Lucia Račková Slovakia 22 488 0.9× 324 1.6× 229 1.1× 228 1.2× 132 0.7× 48 1.7k

Countries citing papers authored by Mei‐Chin Mong

Since Specialization
Citations

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

Fields of papers citing papers by Mei‐Chin Mong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mei‐Chin Mong. 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 Mei‐Chin Mong. The network helps show where Mei‐Chin Mong may publish in the future.

Co-authorship network of co-authors of Mei‐Chin Mong

This figure shows the co-authorship network connecting the top 25 collaborators of Mei‐Chin Mong. A scholar is included among the top collaborators of Mei‐Chin Mong 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 Mei‐Chin Mong. Mei‐Chin Mong 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.
Kuo, Chien‐Chung, Mei‐Chin Mong, Ya–Chen Yang, et al.. (2024). Impacts of Methylenetetrahydrofolate Reductase Genotypes on Hallux Valgus. In Vivo. 39(1). 172–179.
2.
Chang, Wen-Shin, Mei‐Chin Mong, Ya–Chen Yang, et al.. (2024). Contribution of Matrix Metalloproteinase-2 and Matrix Metalloproteinase-9 to Upper Tract Urothelial Cancer Risk in Taiwan. Life. 14(7). 801–801. 1 indexed citations
4.
Deng, Yang, Tao‐Wei Ke, Mei‐Chin Mong, et al.. (2023). Impact of Matrix Metalloproteinase-8 Genotypes on Colorectal Cancer Risk in Taiwan. Anticancer Research. 43(9). 3979–3985. 4 indexed citations
5.
Deng, Yang, Tao‐Wei Ke, Mei‐Chin Mong, et al.. (2023). The Contribution of DNA Ligase 4 Polymorphisms to Colorectal Cancer. In Vivo. 38(1). 127–133. 3 indexed citations
6.
Tsai, Chia-Wen, WEN-SHIN CHANG, Mei‐Due Yang, et al.. (2023). The Significant Impacts of Interleukin-8 Genotypes on the Risk of Colorectal Cancer in Taiwan. Cancers. 15(20). 4921–4921. 2 indexed citations
7.
Yan, Sheng‐Lei, Wen‐Tzu Wu, Mei‐Chin Mong, & Mei‐chin Yin. (2023). Steamed daylily flower (Hemerocallis fulva L.) protected cardiac and hepatic cells against ethanol induced apoptotic and oxidative damage. Journal of Food and Drug Analysis. 31(4). 649–663. 2 indexed citations
8.
Lin, Yu‐Hsin, Wen‐Chin Huang, Mei‐Chin Mong, et al.. (2023). Impacts of Matrix Metalloproteinase 9 Genotypes on Renal Cell Carcinoma. In Vivo. 37(6). 2452–2458. 5 indexed citations
9.
Mong, Mei‐Chin, Mei‐Due Yang, Jaw‐Chyun Chen, et al.. (2023). The Significant Contribution of Interleukin-16 Genotypes, Smoking, Alcohol Drinking, and Helicobacter Pylori Infection to Gastric Cancer. In Vivo. 38(1). 90–97. 7 indexed citations
10.
Tsai, Chia‐Wen, Ming-Hsien Wu, Mei‐Chin Mong, et al.. (2022). The Contribution of Matrix Metalloproteinase-7 Promoter Genotypes to Hepatocellular Carcinoma Susceptibility. Anticancer Research. 42(11). 5275–5282. 4 indexed citations
11.
Hsia, Ning‐Yi, et al.. (2022). Protective Effects of Gamma-mangostin on Hydrogen Peroxideinduced Cytotoxicity in Human Retinal Pigment Epithelial Cells. In Vivo. 36(4). 1676–1683. 1 indexed citations
12.
Mong, Mei‐Chin, CHIEN-CHIH YU, Mei‐Due Yang, et al.. (2022). Association of Matrix Metallopeptidase-2 Genotypes With Risk of Gastric Cancer in Taiwan. Anticancer Research. 42(4). 1749–1755. 9 indexed citations
13.
Tsai, Chia-Wen, Ning‐Yi Hsia, Mei‐Chin Mong, et al.. (2022). Genetic variants in miR-145 gene are associated with the risk of asthma in Taiwan. Scientific Reports. 12(1). 15155–15155. 3 indexed citations
14.
Li, Chia-Hsiang, Kuo-Liang Chiu, Te‐Chun Hsia, et al.. (2021). Significant Association of Cyclin D1 Promoter Genotypes With Asthma Susceptibility in Taiwan. In Vivo. 35(4). 2041–2046. 12 indexed citations
15.
Kuo, Huey‐Liang, et al.. (2020). s-Ethyl cysteine, an amino acid derivative, attenuated cisplatin induced nephrotoxicity. Amino Acids. 52(8). 1181–1190. 1 indexed citations
16.
Yan, Sheng‐Lei, Zhihong Wang, Mei‐Chin Mong, Ya–Chen Yang, & Mei‐chin Yin. (2019). Combination of carnosine and asiatic acid provided greater anti-inflammatory protection for HUVE cells and diabetic mice than individual treatments of carnosine or asiatic acid alone. Food and Chemical Toxicology. 126. 192–198. 9 indexed citations
17.
Chan, Chien‐Yi, Mei‐Chin Mong, Wen‐Hu Liu, Chih‐Yang Huang, & Mei‐chin Yin. (2014). Three pentacyclic triterpenes protect H9c2 cardiomyoblast cells against high-glucose-induced injury. Free Radical Research. 48(4). 402–411. 25 indexed citations
18.
Mong, Mei‐Chin, Che‐Yi Chao, & Mei‐chin Yin. (2010). Histidine and carnosine alleviated hepatic steatosis in mice consumed high saturated fat diet. European Journal of Pharmacology. 653(1-3). 82–88. 95 indexed citations
19.
Chao, Che‐Yi, Mei‐Chin Mong, Kung‐Chi Chan, & Mei‐chin Yin. (2009). Anti‐glycative and anti‐inflammatory effects of caffeic acid and ellagic acid in kidney of diabetic mice. Molecular Nutrition & Food Research. 54(3). 388–395. 195 indexed citations
20.
Chan, Kung‐Chi, Mei‐Chin Mong, & Mei‐chin Yin. (2009). Antioxidative and Anti‐Inflammatory Neuroprotective Effects of Astaxanthin and Canthaxanthin in Nerve Growth Factor Differentiated PC12 Cells. Journal of Food Science. 74(7). H225–31. 88 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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