Yaw‐Kuen Li

2.3k citations
87 papers · 1.9k · h-index 24

Impact in

Papers in

    • Advanced biosensing and bioanalysis techniques 10
    • Glycosylation and Glycoproteins Research 10
    • Studies on Chitinases and Chitosanases 10
    • Biofuel production and bioconversion 9

Yaw‐Kuen Li

86 papers receiving 1.8k citations

Peers

Yaw‐Kuen Li
Comparison fields: 5 of 108
  • Biotechnology 366
  • Filtration and Separation 69
  • Bioengineering 138
  • Biomedical Engineering 580
  • Molecular Biology 895
Replace Hiroshi Umakoshi with:
Hiroshi Umakoshi Japan
Andrey V. Levashov Russia
Volker Kasche Germany
C. Reyes Mateo Spain
Guillermo Moyna United States
Yang Jiang China
E. L. Bastos Brazil
Toshinori Shimanouchi Japan
Yen‐Ho Chu Taiwan
Anju Chadha India
Yaw‐Kuen Li relative to Hiroshi Umakoshi Japan Hiroshi Umakoshi's profile →
Citations per field
00.5×4.5×
Hiroshi Umakoshi · 1×
Citations per year

Countries citing papers authored by Yaw‐Kuen Li

Since Specialization
Citations

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

Fields of papers citing papers by Yaw‐Kuen Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yaw‐Kuen Li. 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 Yaw‐Kuen Li. The network helps show where Yaw‐Kuen Li may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006146
2 2014125
3 200095
4 200494
5 202174
6 200272
7 200563
8 200256
9 200553
10 201052
11 200643
12 200137
13 200232
14 202032
15 200232
16 200131
17 200831
18 202131
19 201731
20 202129

About Yaw‐Kuen Li

Yaw‐Kuen Li is a scholar working on Molecular Biology, Biomedical Engineering, Biotechnology, Organic Chemistry and Materials Chemistry, having authored 87 papers that have together received 1.9k indexed citations. Recurring topics across this work include Enzyme Production and Characterization (23 papers), Carbohydrate Chemistry and Synthesis (13 papers), Advanced biosensing and bioanalysis techniques (10 papers), Luminescence and Fluorescent Materials (10 papers), Glycosylation and Glycoproteins Research (10 papers), Studies on Chitinases and Chitosanases (10 papers), Biofuel production and bioconversion (9 papers) and Molecular Sensors and Ion Detection (7 papers). The work is most often cited by research in Biotechnology (366 citations), Filtration and Separation (69 citations), Bioengineering (138 citations), Biomedical Engineering (580 citations) and Molecular Biology (895 citations). Yaw‐Kuen Li has collaborated with scholars based in Taiwan, United States and Vietnam. Frequent co-authors include Chih‐Yu Cheng, Bor‐Ran Li, Teng‐Ming Chen, Lee‐Chiang Lo, Hong‐Cheu Lin, Judy I. Wu, Pham Quoc Nhien, Li-Duan Tsai, Tung‐Kung Wu and Chung‐Yu Wu. Their work appears in journals such as ACS Applied Materials & Interfaces, Biosensors and Bioelectronics, Biochemistry, Biotechnology and Applied Biochemistry and Chemical Communications.

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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