Ming‐Ching Kao

2.5k citations
72 papers · 2.1k · h-index 26

Impact in

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

Papers in

    • Natural product bioactivities and synthesis 8
    • Prion Diseases and Protein Misfolding 5
    • Fungal Biology and Applications 7
    • Flavonoids in Medical Research 5

Ming‐Ching Kao

71 papers receiving 2.0k citations

Peers

Ming‐Ching Kao
Comparison fields: 5 of 109
  • Pharmacology 475
  • Pharmacology 220
  • Biochemistry 148
  • Applied Microbiology and Biotechnology 39
  • Cancer Research 243
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Ming‐Ching Kao relative to Masaaki Nomura Japan Masaaki Nomura's profile →
Citations per field
00.5×2.8×
Masaaki Nomura · 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 2004202
2 2007139
3 200885
4 201275
5 201172
6 200464
7 200964
8 200459
9 201253
10 201152
11 200950
12 200847
13
ROS mediates baicalin-induced apoptosis in human promyelocytic leukemia HL-60 cells through the expression of the Gadd153 and mitochondrial-dependent pathway.
200746
14 200845
15 200843
16 200841
17 201140
18 200738
19 200836
20 201633

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 2.1k indexed citations. Recurring topics across this work include Natural product bioactivities and synthesis (8 papers), Fungal Biology and Applications (7 papers), HER2/EGFR in Cancer Research (6 papers), Flavonoids in Medical Research (5 papers), Prion Diseases and Protein Misfolding (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Trace Elements in Health (4 papers) and Phytochemistry and Biological Activities (4 papers). The work is most often cited by research in Pharmacology (475 citations), Pharmacology (220 citations), Biochemistry (148 citations), Applied Microbiology and Biotechnology (39 citations) and Cancer Research (243 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, Vinchi Wang, Chih‐Hsin Tang, Wen Fu, Yuh‐Fung Chen and Huei-Yann Tsai. Their work appears in journals such as FEBS Letters, Journal of Agricultural and Food Chemistry, Evidence-based Complementary and Alternative Medicine, Journal of the Neurological Sciences and Environmental Toxicology.

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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