Mei‐Chin Mong

1.7k citations
53 papers · 1.4k · h-index 17

Impact in

Papers in

    • Genomics, phytochemicals, and oxidative stress 4
    • Natural product bioactivities and synthesis 4
    • Plant Toxicity and Pharmacological Properties 3
    • Protease and Inhibitor Mechanisms 7

Mei‐Chin Mong

50 papers receiving 1.4k citations

Peers

Mei‐Chin Mong
Comparison fields: 5 of 107
  • Biochemistry 183
  • Complementary and alternative medicine 169
  • Pharmacology 129
  • Endocrinology, Diabetes and Metabolism 161
  • Pharmacology 150
Replace Yoo‐Hyun Lee with:
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Mei‐Chin Mong relative to Yoo‐Hyun Lee South Korea Yoo‐Hyun Lee's profile →
Citations per field
00.5×1.5×
Yoo‐Hyun Lee · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Mei‐Chin Mong, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mei‐Chin Mong Line = papers co-authored together Mei‐Chin Mong links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009197
2 2012159
3 2011114
4 201098
5 200989
6 201089
7 201887
8 201752
9 201551
10 201241
11 201441
12 201041
13 201525
14 201425
15 201820
16 201017
17 202117
18 201416
19 201716
20 201914

About Mei‐Chin Mong

Mei‐Chin Mong is a scholar working on Molecular Biology, Cancer Research, Complementary and alternative medicine, Pathology and Forensic Medicine and Cell Biology, having authored 53 papers that have together received 1.4k indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (7 papers), Genomics, phytochemicals, and oxidative stress (4 papers), Medicinal Plants and Neuroprotection (4 papers), Aldose Reductase and Taurine (4 papers), Natural product bioactivities and synthesis (4 papers), Plant Toxicity and Pharmacological Properties (3 papers), Biochemical effects in animals (3 papers) and Natural Antidiabetic Agents Studies (3 papers). The work is most often cited by research in Biochemistry (183 citations), Complementary and alternative medicine (169 citations), Pharmacology (129 citations), Endocrinology, Diabetes and Metabolism (161 citations) and Pharmacology (150 citations). Mei‐Chin Mong has collaborated with scholars based in Taiwan, United States and South Korea. Frequent co-authors include Mei‐chin Yin, Che‐Yi Chao, Kung‐Chi Chan, Chia-Yu Lin, Ming‐Cheng Lin, Wen‐Hu Liu, Ya–Chen Yang, Chien‐Yi Chan, Shih-Jei Tsai and Chin‐Shiu Huang. Their work appears in journals such as Journal of Agricultural and Food Chemistry, Anticancer Research, Journal of Food Science, Cancer Genomics & Proteomics and Biomedicine.

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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