Ming‐Te Yang

400 citations
30 papers · 313 · h-index 10

Impact in

Papers in

    • Genomics and Phylogenetic Studies 8
    • RNA and protein synthesis mechanisms 6
    • Enzyme Catalysis and Immobilization 4
    • Protein purification and stability 3
    • Bacterial Genetics and Biotechnology 12

Ming‐Te Yang

30 papers receiving 308 citations

Peers

Ming‐Te Yang
Comparison fields: 5 of 52
  • Biotechnology 46
  • Endocrinology 19
  • Molecular Biology 201
  • Genetics 76
  • Plant Science 91
Replace Linden Gledhill with:
Linden Gledhill United Kingdom
Heinz Baur Switzerland
Sarah Higginbotham Panama
LORETTA DEAN Malaysia
Maharani Chakravorty India
Jeffrey B. Schineller United States
Yizhou Yin United States
Malathy Krishnamurthy United States
David C. Marciano United States
Liqiang Shen China
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Citations per field
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Citations per year

Countries citing papers authored by Ming‐Te Yang

Since Specialization
Citations

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

Fields of papers citing papers by Ming‐Te Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201051
2 201241
3 200827
4 201118
5 201518
6 198915
7 201314
8 199812
9 19959
10 20089
11 20189
12 20048
13 19987
14 19956
15 19916
16 19956
17 19976
18 20146
19 20185
20 20005

About Ming‐Te Yang

Ming‐Te Yang is a scholar working on Molecular Biology, Genetics, Plant Science, Ecology and Pulmonary and Respiratory Medicine, having authored 30 papers that have together received 313 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (12 papers), Genomics and Phylogenetic Studies (8 papers), Plant Pathogenic Bacteria Studies (7 papers), RNA and protein synthesis mechanisms (6 papers), Bacteriophages and microbial interactions (5 papers), Legume Nitrogen Fixing Symbiosis (4 papers), Enzyme Catalysis and Immobilization (4 papers) and Protein purification and stability (3 papers). The work is most often cited by research in Biotechnology (46 citations), Endocrinology (19 citations), Molecular Biology (201 citations), Genetics (76 citations) and Plant Science (91 citations). Ming‐Te Yang has collaborated with scholars based in Taiwan, United States and Italy. Frequent co-authors include Jeffrey F. Gardner, Shan‐Ho Chou, Ko‐Hsin Chin, Yi-Hsiung Tseng, Wei‐Ting Kuo, Yi‐Ting Liao, Chin‐Yuan Chang, Yu Chen, Yi‐Hsiung Tseng and Yucheng Chen. Their work appears in journals such as Biochemical and Biophysical Research Communications, Journal of Biological Chemistry, Nucleic Acids Research, Gene and Scientific Reports.

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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