Jei‐Fu Shaw

3.9k citations
126 papers · 3.1k indexed · h-index 33
Topics
Enzyme Catalysis and Immobilization (40 papers)Microbial Metabolic Engineering and Bioproduction (21 papers)Fungal Biology and Applications (16 papers)
Partner nations
TaiwanUnited StatesChina

In The Last Decade

Jei‐Fu Shaw

124 papers receiving 3.0k citations

Peers

Jei‐Fu Shaw
Comparison fields: 5 of 116
  • Molecular Biology 2.1k
  • Plant Science 945
  • Pharmacology 426
  • Biomedical Engineering 412
  • Biotechnology 321
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
00.5×1.5×
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 of co-authors of Jei‐Fu Shaw

This figure shows the co-authorship network connecting the top 25 collaborators of Jei‐Fu Shaw. A scholar is included among the top collaborators of Jei‐Fu Shaw based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jei‐Fu Shaw. Jei‐Fu Shaw is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 59
2 76
3 25
4 12
5 10
6
Interaction analyses of Arabidopsis tubby-like proteins with ASK proteins
5
7 164
8 3
9 8
10 10
11 7
12 10
13
Optimization of Enzymatically Prepared Hexyl Butyrate by Lipozyme IM-77
15
14 12
15
Purification and properties of an extracellular a-amylase from Thermus sp.
51
16
Multiple forms and functions of Candida rugosa lipase
66
17 0
18 12
19 116
20 75

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) and Fungal Biology and Applications (16 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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