Ka‐Yiu San

8.1k total citations
158 papers, 6.3k citations indexed

About

Ka‐Yiu San is a scholar working on Molecular Biology, Biomedical Engineering and Genetics. According to data from OpenAlex, Ka‐Yiu San has authored 158 papers receiving a total of 6.3k indexed citations (citations by other indexed papers that have themselves been cited), including 140 papers in Molecular Biology, 45 papers in Biomedical Engineering and 34 papers in Genetics. Recurrent topics in Ka‐Yiu San's work include Microbial Metabolic Engineering and Bioproduction (98 papers), Enzyme Catalysis and Immobilization (39 papers) and Biofuel production and bioconversion (34 papers). Ka‐Yiu San is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (98 papers), Enzyme Catalysis and Immobilization (39 papers) and Biofuel production and bioconversion (34 papers). Ka‐Yiu San collaborates with scholars based in United States, China and Chile. Ka‐Yiu San's co-authors include George N. Bennett, Henry Lin, Gregory Stephanopoulos, Jacqueline V. Shanks, Christie A. M. Peebles, Yea‐Tyng Yang, Chandresh Thakker, Irene Martínez, Aristos Aristidou and Jiangfeng Zhu and has published in prestigious journals such as Bioresource Technology, Journal of Cleaner Production and Journal of Bacteriology.

In The Last Decade

Ka‐Yiu San

156 papers receiving 6.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ka‐Yiu San United States 46 5.3k 2.1k 784 578 447 158 6.3k
Kazuyuki Shimizu Japan 45 4.7k 0.9× 1.4k 0.7× 1.1k 1.3× 418 0.7× 344 0.8× 176 5.9k
Ralf Takors Germany 37 4.0k 0.8× 1.6k 0.8× 431 0.5× 232 0.4× 196 0.4× 181 4.9k
Yingping Zhuang China 38 3.2k 0.6× 1.5k 0.7× 376 0.5× 210 0.4× 113 0.3× 284 4.8k
Ju Chu China 41 3.9k 0.7× 2.1k 1.0× 278 0.4× 214 0.4× 128 0.3× 290 5.6k
Wim Soetaert Belgium 48 4.9k 0.9× 1.9k 0.9× 412 0.5× 485 0.8× 82 0.2× 218 7.9k
Rodrigo Ledesma‐Amaro United Kingdom 45 6.2k 1.2× 2.7k 1.3× 520 0.7× 212 0.4× 71 0.2× 193 7.4k
Kristala L. J. Prather United States 43 6.0k 1.1× 2.2k 1.1× 852 1.1× 376 0.7× 52 0.1× 122 7.1k
Walter M. van Gulik Netherlands 46 4.9k 0.9× 1.8k 0.9× 232 0.3× 195 0.3× 119 0.3× 118 5.7k
Tsuneo Yamané Japan 47 4.8k 0.9× 1.3k 0.6× 227 0.3× 215 0.4× 123 0.3× 217 6.2k
Taek Soon Lee United States 43 5.2k 1.0× 2.1k 1.0× 480 0.6× 344 0.6× 55 0.1× 95 6.6k

Countries citing papers authored by Ka‐Yiu San

Since Specialization
Citations

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

Fields of papers citing papers by Ka‐Yiu San

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ka‐Yiu San. 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 Ka‐Yiu San. The network helps show where Ka‐Yiu San may publish in the future.

Co-authorship network of co-authors of Ka‐Yiu San

This figure shows the co-authorship network connecting the top 25 collaborators of Ka‐Yiu San. A scholar is included among the top collaborators of Ka‐Yiu San 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 Ka‐Yiu San. Ka‐Yiu San 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
1.
Zhu, Fayin, Ka‐Yiu San, & George N. Bennett. (2020). Metabolic engineering of Escherichia coli for malate production with a temperature sensitive malate dehydrogenase. Biochemical Engineering Journal. 164. 107762–107762. 5 indexed citations
2.
Zhu, Fayin, Ka‐Yiu San, & George N. Bennett. (2019). Improved succinate production from galactose‐rich feedstocks by engineered Escherichia coli under anaerobic conditions. Biotechnology and Bioengineering. 117(4). 1082–1091. 10 indexed citations
3.
Zhu, Fayin, Yuan-Shan Wang, Ka‐Yiu San, & George N. Bennett. (2018). Metabolic engineering of Escherichia coli to produce succinate from soybean hydrolysate under anaerobic conditions. Biotechnology and Bioengineering. 115(7). 1743–1754. 15 indexed citations
4.
Wang, Dan, Chandresh Thakker, Ping Liu, George N. Bennett, & Ka‐Yiu San. (2015). Efficient production of free fatty acids from soybean meal carbohydrates. Biotechnology and Bioengineering. 112(11). 2324–2333. 17 indexed citations
5.
6.
Chung, Ill‐Min, et al.. (2010). Screening 64 cultivars Catharanthus roseus for the production of vindoline, catharanthine, and serpentine. Biotechnology Progress. 27(4). 937–943. 8 indexed citations
7.
Wong, Matthew S., Thomas B. Causey, Nikos V. Mantzaris, George N. Bennett, & Ka‐Yiu San. (2007). Engineering poly(3‐hydroxybutyrate‐co‐3‐hydroxyvalerate) copolymer composition in E. coli. Biotechnology and Bioengineering. 99(4). 919–928. 29 indexed citations
8.
Singh, Randeep, Yongtao Yang, Bingyue Lu, George N. Bennett, & Ka‐Yiu San. (2006). Expression of the pfl Gene and Resulting Metabolite Flux Distribution in nuo and ackA-pta E. coli Mutant Strains. Biotechnology Progress. 22(3). 898–902. 2 indexed citations
9.
San, Ka‐Yiu, et al.. (2005). Effect of Gene Iinactivation of arcA and/or fnr in Escherichia coli on Anaerobic Metabolic Pathway. 176–176.
10.
11.
Cox, Steven J., et al.. (2005). Genetically constrained metabolic flux analysis. Metabolic Engineering. 7(5-6). 445–456. 17 indexed citations
12.
13.
Vadali, Ravishankar V., George N. Bennett, & Ka‐Yiu San. (2004). Enhanced Isoamyl Acetate Production upon Manipulation of the Acetyl-CoA Node in Escherichia coli. Biotechnology Progress. 20(3). 692–697. 17 indexed citations
14.
Yang, Yea‐Tyng, Ka‐Yiu San, & George N. Bennett. (1999). Redistribution of Metabolic Fluxes inEscherichia coliwith Fermentative Lactate Dehydrogenase Overexpression and Deletion. Metabolic Engineering. 1(2). 141–152. 52 indexed citations
15.
Yang, Yea‐Tyng, Aristos Aristidou, Ka‐Yiu San, & George N. Bennett. (1999). Metabolic Flux Analysis ofEscherichia coliDeficient in the Acetate Production Pathway and Expressing theBacillus subtilisAcetolactate Synthase. Metabolic Engineering. 1(1). 26–34. 54 indexed citations
16.
Aristidou, Aristos, Ka‐Yiu San, & George N. Bennett. (1999). Improvement of Biomass Yield and Recombinant Gene Expression in Escherichia coli by Using Fructose as the Primary Carbon Source. Biotechnology Progress. 15(1). 140–145. 43 indexed citations
17.
Yang, Yea‐Tyng, George N. Bennett, & Ka‐Yiu San. (1998). Genetic and metabolic engineering. Electronic Journal of Biotechnology. 1(3). 20–21. 15 indexed citations
18.
Chou, C. Perry, George N. Bennett, & Ka‐Yiu San. (1994). Effect of modified glucose uptake using genetic engineering techniques on high‐level recombinant protein production in escherichia coli dense cultures. Biotechnology and Bioengineering. 44(8). 952–960. 85 indexed citations
19.
San, Ka‐Yiu & Gregory Stephanopoulos. (1989). Optimization of fed‐batch penicillin fermentation: A case of singular optimal control with state constraints. Biotechnology and Bioengineering. 34(1). 72–78. 89 indexed citations
20.
San, Ka‐Yiu & Gregory Stephanopoulos. (1984). Studies on on‐line bioreactor identification. II. Numerical and experimental results. Biotechnology and Bioengineering. 26(10). 1189–1197. 62 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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