Ming‐Ching Kao

2.5k citations
72 papers · 2.2k · h-index 27

Impact in

    • Fungal Biology and Applications
    • Flavonoids in Medical Research
    • Berberine and alkaloids research
    • Phytochemistry and Bioactivity Studies
    • Phytochemicals and Antioxidant Activities

Papers in

    • Natural product bioactivities and synthesis 7
    • Prion Diseases and Protein Misfolding 5
    • Fungal Biology and Applications 7
    • Flavonoids in Medical Research 5

Ming‐Ching Kao

71 papers receiving 2.1k citations

Peers

Ming‐Ching Kao
Comparison fields: 5 of 111
  • Pharmacology 476
  • Biochemistry 168
  • Pharmacology 204
  • Applied Microbiology and Biotechnology 39
  • Toxicology 57
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Citations per field
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Jong‐Suk Kim · 1×
Citations per year

Countries citing papers authored by Ming‐Ching Kao

Since Specialization
Citations

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

Fields of papers citing papers by Ming‐Ching Kao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming‐Ching Kao. 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 Ming‐Ching Kao. The network helps show where Ming‐Ching Kao may publish in the future.

Co-authors

The 25 scholars most cited alongside Ming‐Ching Kao, 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 Ming‐Ching Kao Line = papers co-authored together Ming‐Ching Kao links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004224
2 2007147
3 200889
4 200477
5 201277
6 201173
7 200469
8 200963
9 201256
10 201154
11 200854
12 200852
13 200951
14
ROS mediates baicalin-induced apoptosis in human promyelocytic leukemia HL-60 cells through the expression of the Gadd153 and mitochondrial-dependent pathway.
200747
15 200844
16 200843
17 201141
18 200739
19 200837
20 201635

About Ming‐Ching Kao

Ming‐Ching Kao is a scholar working on Molecular Biology, Pharmacology, Oncology, Pharmacology and Pathology and Forensic Medicine, having authored 72 papers that have together received 2.2k indexed citations. Recurring topics across this work include Natural product bioactivities and synthesis (7 papers), Fungal Biology and Applications (7 papers), Flavonoids in Medical Research (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Prion Diseases and Protein Misfolding (5 papers), HER2/EGFR in Cancer Research (4 papers), Phytochemistry and Biological Activities (4 papers) and Trace Elements in Health (4 papers). The work is most often cited by research in Pharmacology (476 citations), Biochemistry (168 citations), Pharmacology (204 citations), Applied Microbiology and Biotechnology (39 citations) and Toxicology (57 citations). Ming‐Ching Kao has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Tzong‐Der Way, Jen‐Kun Lin, Tzu‐Chao Chuang, Jah‐Yao Liu, Shih‐Chung Hsu, Chih‐Hsin Tang, Vinchi Wang, Wen Fu, Huei-Yann Tsai and Yuh‐Fung Chen. Their work appears in journals such as Journal of Agricultural and Food Chemistry, FEBS Letters, Evidence-based Complementary and Alternative Medicine, Environmental Toxicology and Journal of the Neurological Sciences.

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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