Shing Chang

1.1k citations
6 papers · 1.0k · 1 hit paper · h-index 6

Impact in

    • Enzyme Production and Characterization
  • Genetics top 5%
    • Bacterial Genetics and Biotechnology

Papers in

    • Enzyme Production and Characterization 2
    • Cancer Research and Treatments 1
    • Bacterial Genetics and Biotechnology 3

Shing Chang

6 papers receiving 814 citations

Shing Chang's Hit Papers

High frequency transformation of Bacillus subtilis protoplasts by plasmid DNA 1979 · 899 citations
8990+15+31Years since publication250500750

Peers

Shing Chang
Comparison fields: 5 of 65
  • Biotechnology 261
  • Genetics 542
  • Ecology 349
  • Molecular Medicine 55
  • Molecular Biology 677
Replace Naomi Lang with:
Naomi Lang United States
Philippe Margot Switzerland
Maryvonne Arnaud France
S Horinouchi Japan
Michael K. Dahl Germany
Brigitte Gicquel-Sanzey France
Elizabeth J. Duvall United States
Hiroshi Kakeshita Japan
P Lehtovaara Finland
Valérie Vagner France
Shing Chang relative to Naomi Lang United States Naomi Lang's profile →
Citations per field
00.5×2×3×4×4.5×
Naomi Lang · 1×
Citations per year

Countries citing papers authored by Shing Chang

Since Specialization
Citations

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

Fields of papers citing papers by Shing Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shing Chang. 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 Shing Chang. The network helps show where Shing Chang may publish in the future.

Co-authors

The 7 scholars most cited alongside Shing Chang, 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 Shing Chang Line = papers co-authored together Shing Chang links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1
High frequency transformation of Bacillus subtilis protoplasts by plasmid DNA
Hit paper breakdown →
1979899
2 198137
3 198733
4 198228
5 198213
6
Correlation between sonography and pathology in thyroid diseases.
199011

About Shing Chang

Shing Chang is a scholar working on Biotechnology, Genetics, Molecular Medicine, Molecular Biology and Endocrinology, Diabetes and Metabolism, having authored 6 papers that have together received 1.0k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (3 papers), Enzyme Production and Characterization (2 papers), Enzyme Catalysis and Immobilization (2 papers), Biochemical and Structural Characterization (1 paper), Cancer Research and Treatments (1 paper), Plant tissue culture and regeneration (1 paper), Fungal and yeast genetics research (1 paper) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Biotechnology (261 citations), Genetics (542 citations), Ecology (349 citations), Molecular Medicine (55 citations) and Molecular Biology (677 citations). Shing Chang has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Stanley N. Cohen, Jane R. McLaughlin, Hsiao-Chi Hsieh, David F. Mark, Sheng-Yung Chang, Tien‐Chun Chang and S W How. Their work appears in journals such as Methods in enzymology on CD-ROM/Methods in enzymology, Gene, Nucleic Acids Research, PubMed and Elsevier eBooks.

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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