Jui‐Chang W. Kuan

1.5k total citations
19 papers, 1.1k citations indexed

About

Jui‐Chang W. Kuan is a scholar working on Molecular Biology, Biochemistry and Plant Science. According to data from OpenAlex, Jui‐Chang W. Kuan has authored 19 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Biochemistry and 4 papers in Plant Science. Recurrent topics in Jui‐Chang W. Kuan's work include Lipid metabolism and biosynthesis (4 papers), Electrochemical sensors and biosensors (3 papers) and Microbial Metabolic Engineering and Bioproduction (3 papers). Jui‐Chang W. Kuan is often cited by papers focused on Lipid metabolism and biosynthesis (4 papers), Electrochemical sensors and biosensors (3 papers) and Microbial Metabolic Engineering and Bioproduction (3 papers). Jui‐Chang W. Kuan collaborates with scholars based in United States and Canada. Jui‐Chang W. Kuan's co-authors include Armand B. Pepperman, John M. Dyer, Dorselyn C. Chapital, Robert T. Mullen, Jay Shockey, Preetinder K. Dhanoa, Steven J. Rothstein, Satinder K. Gidda, John M. Bland and George G. Guilbault and has published in prestigious journals such as The Plant Cell, PLANT PHYSIOLOGY and Journal of Controlled Release.

In The Last Decade

Jui‐Chang W. Kuan

19 papers receiving 1.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jui‐Chang W. Kuan United States 13 549 544 326 243 111 19 1.1k
Yoshifumi Shinmen Japan 19 394 0.7× 872 1.6× 315 1.0× 175 0.7× 22 0.2× 28 1.3k
Jiann‐Tsyh Lin United States 19 493 0.9× 595 1.1× 301 0.9× 184 0.8× 15 0.1× 77 1.1k
Stephanie Bringer‐Meyer Germany 25 368 0.7× 1.6k 2.9× 98 0.3× 309 1.3× 9 0.1× 35 1.9k
S. F. Herb United States 22 361 0.7× 478 0.9× 216 0.7× 226 0.9× 170 1.5× 54 1.8k
Nikolaus Weber Germany 22 495 0.9× 975 1.8× 283 0.9× 141 0.6× 15 0.1× 106 1.6k
F. E. Luddy United States 15 332 0.6× 455 0.8× 123 0.4× 104 0.4× 164 1.5× 31 1.3k
R. W. Riemenschneider United States 19 366 0.7× 473 0.9× 117 0.4× 201 0.8× 198 1.8× 43 1.7k
Kenji Tayama Japan 17 84 0.2× 681 1.3× 123 0.4× 213 0.9× 36 0.3× 45 1.0k
P. Magidman United States 13 282 0.5× 313 0.6× 98 0.3× 138 0.6× 116 1.0× 31 984
C. T. Hou United States 19 105 0.2× 638 1.2× 146 0.4× 165 0.7× 11 0.1× 46 965

Countries citing papers authored by Jui‐Chang W. Kuan

Since Specialization
Citations

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

Fields of papers citing papers by Jui‐Chang W. Kuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jui‐Chang W. Kuan. 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 Jui‐Chang W. Kuan. The network helps show where Jui‐Chang W. Kuan may publish in the future.

Co-authorship network of co-authors of Jui‐Chang W. Kuan

This figure shows the co-authorship network connecting the top 25 collaborators of Jui‐Chang W. Kuan. A scholar is included among the top collaborators of Jui‐Chang W. Kuan 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 Jui‐Chang W. Kuan. Jui‐Chang W. Kuan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Shockey, Jay, Satinder K. Gidda, Dorselyn C. Chapital, et al.. (2006). Tung Tree DGAT1 and DGAT2 Have Nonredundant Functions in Triacylglycerol Biosynthesis and Are Localized to Different Subdomains of the Endoplasmic Reticulum. The Plant Cell. 18(9). 2294–2313. 442 indexed citations
2.
Dyer, John M., et al.. (2004). Production of linolenic acid in yeast cells expressing an omega‐3 desaturase from tung (Aleurites fordii). Journal of the American Oil Chemists Society. 81(7). 647–651. 19 indexed citations
3.
Dyer, John M., Dorselyn C. Chapital, Jui‐Chang W. Kuan, Richard Mullen, & Armand B. Pepperman. (2002). Metabolic engineering of Saccharomyces cerevisiae for production of novel lipid compounds. Applied Microbiology and Biotechnology. 59(2-3). 224–230. 46 indexed citations
4.
Dyer, John M., Dorselyn C. Chapital, Jui‐Chang W. Kuan, et al.. (2002). Molecular Analysis of a Bifunctional Fatty Acid Conjugase/Desaturase from Tung. Implications for the Evolution of Plant Fatty Acid Diversity. PLANT PHYSIOLOGY. 130(4). 2027–2038. 150 indexed citations
5.
Kuan, Jui‐Chang W. & Armand B. Pepperman. (1996). High Performance Liquid Chromatographic Determination of Alachlor in Alginate-Based Formulations. Journal of Liquid Chromatography & Related Technologies. 19(4). 645–659. 1 indexed citations
6.
Pepperman, Armand B. & Jui‐Chang W. Kuan. (1995). Controlled release formulations of alachlor based on calcium alginate. Journal of Controlled Release. 34(1). 17–23. 45 indexed citations
7.
Pepperman, Armand B. & Jui‐Chang W. Kuan. (1993). Slow release formulations of metribuzin based on alginate-kaolin-linseed oil. Journal of Controlled Release. 26(1). 21–30. 45 indexed citations
8.
Pepperman, Armand B. & Jui‐Chang W. Kuan. (1992). HPLC and GC/MS of Metribuzin and Its Degradation Products from Alginate-Linseed Oil Controlled Release Formulations. Journal of Liquid Chromatography. 15(5). 819–834. 9 indexed citations
9.
Pepperman, Armand B., et al.. (1991). Alginate controlled release formulations of metribuzin. Journal of Controlled Release. 17(1). 105–111. 38 indexed citations
10.
Johnsen, Peter B. & Jui‐Chang W. Kuan. (1987). Simplified method to quantify geosmin and 2-methylisoborneol concentrations in water and microbiological cultures. Journal of Chromatography A. 409. 337–342. 38 indexed citations
11.
Angelo, Allen J. St., et al.. (1987). Chemical and Instrumental Analyses of Warmed‐Over Flavor in Beef. Journal of Food Science. 52(5). 1163–1168. 121 indexed citations
12.
Kuan, Jui‐Chang W., Shia S. Kuan, & George G. Guilbault. (1978). The immobilized-enzyme stirrer. Analytica Chimica Acta. 100. 229–233. 11 indexed citations
13.
Kuan, Jui‐Chang W., et al.. (1977). An immobilized hexokinase enzyme stirrer for a simple and economical assay of plasma glucose. Clinica Chimica Acta. 78(3). 495–498. 1 indexed citations
14.
Kuan, Jui‐Chang W., Shia S. Kuan, & G. G. Guilbault. (1977). Determination of plasma glucose with use of a stirrer containing immobilized glucose dehydrogenase.. Clinical Chemistry. 23(6). 1058–1061. 16 indexed citations
15.
Kuan, Jui‐Chang W., et al.. (1976). Measurement of glucose in plasma, with use of immobilized glucose oxidase and peroxidase.. Clinical Chemistry. 22(8). 1378–1382. 21 indexed citations
16.
Kuan, Jui‐Chang W., et al.. (1975). Semi-Solid Surface Fluorometric Analysis of Glucose. Clinical Chemistry. 21(12). 1799–1801. 6 indexed citations
17.
Kuan, Jui‐Chang W., et al.. (1975). Enzymatic Determination of Serum Urea on the Surface of Silicone-Rubber Pads. Clinical Chemistry. 21(1). 67–70. 12 indexed citations
18.
Kuan, Jui‐Chang W., Shia S. Kuan, & G. G. Guilbault. (1975). An alternative method for the determination of uric acid in serum. Clinica Chimica Acta. 64(1). 19–25. 8 indexed citations
19.
Huang, Hua‐Shan, Jui‐Chang W. Kuan, & George G. Guilbault. (1975). Fluorometric Enzymatic Determination of Total Cholesterol in Serum. Clinical Chemistry. 21(11). 1605–1608. 87 indexed citations

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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