Jei‐Fu Shaw

3.9k citations
126 papers · 3.1k indexed · h-index 33

Jei‐Fu Shaw

124 papers receiving 3.0k citations

Peers

Jei‐Fu Shaw
Comparison fields: 5 of 116
  • Biotechnology 321
  • Molecular Biology 2.1k
  • Plant Science 945
  • Pharmacology 426
  • Biochemistry 159
Replace Mohammed Saddik Motawia with:
Mohammed Saddik Motawia Denmark
Andrea Romano Italy
Edward E. K. Baidoo United States
Josef Altenbuchner Germany
Mingwen Zhao China
Tatsuo Yamauchi Japan
Seiji Takahashi Japan
Karl‐Heinz Engel Germany
Antonius J. A. van Maris Netherlands
Andriy А. Sibirny Ukraine
Jei‐Fu Shaw relative to Mohammed Saddik Motawia Denmark Mohammed Saddik Motawia's profile →
Citations per field
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Mohammed Saddik Motawia · 1×
Citations per year

Countries citing papers authored by Jei‐Fu Shaw

Since Specialization
Citations

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

Fields of papers citing papers by Jei‐Fu Shaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jei‐Fu Shaw. 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 Jei‐Fu Shaw. The network helps show where Jei‐Fu Shaw may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201959
2 201676
3 201525
4 201412
5 201410
6
Interaction analyses of Arabidopsis tubby-like proteins with ASK proteins
20125
7 2012164
8 20103
9 20098
10 200810
11 20077
12 200710
13
Optimization of Enzymatically Prepared Hexyl Butyrate by Lipozyme IM-77
200315
14 199612
15
Purification and properties of an extracellular a-amylase from Thermus sp.
199551
16
Multiple forms and functions of Candida rugosa lipase
199466
17 19940
18 199212
19 1990116
20 198875

About Jei‐Fu Shaw

Jei‐Fu Shaw is a scholar working on Biotechnology, Molecular Biology and Pharmacology, having authored 126 papers that have together received 3.1k indexed citations. Recurring topics across this work include Enzyme Catalysis and Immobilization (40 papers), Microbial Metabolic Engineering and Bioproduction (21 papers), Fungal Biology and Applications (16 papers), Photosynthetic Processes and Mechanisms (14 papers), Enzyme Production and Characterization (14 papers), Plant tissue culture and regeneration (10 papers), Enzyme Structure and Function (8 papers) and Biofuel production and bioconversion (8 papers). The work is most often cited by research in Biotechnology (321 citations), Molecular Biology (2.1k citations) and Plant Science (945 citations). Jei‐Fu Shaw has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Chia-Ping Lai, Fang‐Hua Chu, Sheng‐Yang Wang, Yng Jiin Wang, Chih-Hui Yang, Chwen‐Jen Shieh, Yuting Chen, Long‐Fang O. Chen, Keng‐Shiang Huang and Shu‐Jen Chou. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

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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