Katy C. Kao

2.9k total citations
45 papers, 2.2k citations indexed

About

Katy C. Kao is a scholar working on Molecular Biology, Genetics and Biomedical Engineering. According to data from OpenAlex, Katy C. Kao has authored 45 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 15 papers in Genetics and 10 papers in Biomedical Engineering. Recurrent topics in Katy C. Kao's work include Microbial Metabolic Engineering and Bioproduction (28 papers), Biofuel production and bioconversion (10 papers) and Evolution and Genetic Dynamics (10 papers). Katy C. Kao is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (28 papers), Biofuel production and bioconversion (10 papers) and Evolution and Genetic Dynamics (10 papers). Katy C. Kao collaborates with scholars based in United States, Colombia and China. Katy C. Kao's co-authors include Luis H. Reyes, James D. Winkler, Gavin Sherlock, James C. Liao, Lars Rohlin, Min‐Kyu Oh, José Manuel Gómez, Linh M. Tran, Michelle L. Olson and George Peabody and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Katy C. Kao

45 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Katy C. Kao United States 24 1.6k 662 537 207 146 45 2.2k
Suhyung Cho South Korea 29 2.1k 1.3× 406 0.6× 370 0.7× 170 0.8× 256 1.8× 77 2.6k
Martin Dragosits Austria 20 1.8k 1.1× 496 0.7× 315 0.6× 127 0.6× 287 2.0× 25 2.1k
Pep Charusanti United States 19 1.8k 1.1× 365 0.6× 351 0.7× 137 0.7× 188 1.3× 30 2.4k
Ryan T. Gill United States 31 2.5k 1.5× 807 1.2× 719 1.3× 138 0.7× 189 1.3× 90 2.9k
Karl Friehs Germany 26 1.4k 0.9× 394 0.6× 360 0.7× 137 0.7× 224 1.5× 78 1.8k
Rafael Silva‐Rocha Brazil 28 2.0k 1.2× 700 1.1× 586 1.1× 390 1.9× 293 2.0× 94 2.6k
Yu Jiang China 34 3.6k 2.2× 1.4k 2.0× 762 1.4× 173 0.8× 381 2.6× 79 4.2k
Julia Frunzke Germany 31 2.2k 1.3× 623 0.9× 643 1.2× 201 1.0× 119 0.8× 72 2.8k
Di Huang China 25 1.1k 0.7× 405 0.6× 149 0.3× 203 1.0× 307 2.1× 88 2.2k
Elliot Altman United States 30 2.9k 1.8× 1.1k 1.6× 777 1.4× 129 0.6× 140 1.0× 66 3.3k

Countries citing papers authored by Katy C. Kao

Since Specialization
Citations

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

Fields of papers citing papers by Katy C. Kao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Katy C. Kao. 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 Katy C. Kao. The network helps show where Katy C. Kao may publish in the future.

Co-authorship network of co-authors of Katy C. Kao

This figure shows the co-authorship network connecting the top 25 collaborators of Katy C. Kao. A scholar is included among the top collaborators of Katy C. Kao 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 Katy C. Kao. Katy C. Kao 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.
Oh, Dahyun, et al.. (2024). Antibiofilm Activity of PDMS/TiO2 against Candida glabrata through Inhibited Hydrophobic Recovery. ACS Omega. 9(41). 42593–42601. 2 indexed citations
2.
Bangi, Mohammed Saad Faizan, Katy C. Kao, & Joseph Sang‐Il Kwon. (2022). Physics-informed neural networks for hybrid modeling of lab-scale batch fermentation for β-carotene production using Saccharomyces cerevisiae. Process Safety and Environmental Protection. 179. 415–423. 77 indexed citations
3.
Kao, Katy C., et al.. (2021). Adaptive laboratory evolution of β-caryophyllene producing Saccharomyces cerevisiae. Microbial Cell Factories. 20(1). 106–106. 28 indexed citations
4.
Kao, Katy C., et al.. (2020). Adaptive laboratory evolution for growth coupled microbial production. World Journal of Microbiology and Biotechnology. 36(11). 175–175. 18 indexed citations
5.
Kaur, Manpreet, et al.. (2019). CgSTE11 mediates cross tolerance to multiple environmental stressors in Candida glabrata. Scientific Reports. 9(1). 17036–17036. 9 indexed citations
6.
Peabody, George, et al.. (2019). Beneficial mutations for carotenoid production identified from laboratory-evolvedSaccharomyces cerevisiae. Journal of Industrial Microbiology & Biotechnology. 46(12). 1793–1804. 13 indexed citations
7.
Liu, Zhiyuan, Naijia Hao, Somnath Shinde, et al.. (2018). Codesign of Combinatorial Organosolv Pretreatment (COP) and Lignin Nanoparticles (LNPs) in Biorefineries. ACS Sustainable Chemistry & Engineering. 7(2). 2634–2647. 48 indexed citations
8.
9.
Olson, Michelle L., et al.. (2018). Relative Abundances of Candida albicans and Candida glabrata in In Vitro Coculture Biofilms Impact Biofilm Structure and Formation. Applied and Environmental Microbiology. 84(8). 28 indexed citations
10.
Liu, Zhiyuan, Michelle L. Olson, Somnath Shinde, et al.. (2017). Synergistic maximization of the carbohydrate output and lignin processability by combinatorial pretreatment. Green Chemistry. 19(20). 4939–4955. 126 indexed citations
11.
Peabody, George, Hao Li, & Katy C. Kao. (2017). Sexual recombination and increased mutation rate expedite evolution of Escherichia coli in varied fitness landscapes. Nature Communications. 8(1). 2112–2112. 18 indexed citations
12.
Peabody, George, et al.. (2016). Benefits of a Recombination-Proficient Escherichia coli System for Adaptive Laboratory Evolution. Applied and Environmental Microbiology. 82(22). 6736–6747. 10 indexed citations
13.
Peabody, George, James D. Winkler, & Katy C. Kao. (2014). Tools for developing tolerance to toxic chemicals in microbial systems and perspectives on moving the field forward and into the industrial setting. Current Opinion in Chemical Engineering. 6. 9–17. 23 indexed citations
14.
Winkler, James D. & Katy C. Kao. (2014). Recent advances in the evolutionary engineering of industrial biocatalysts. Genomics. 104(6). 406–411. 61 indexed citations
15.
Winkler, James D., Luis H. Reyes, & Katy C. Kao. (2013). Adaptive Laboratory Evolution for Strain Engineering. Methods in molecular biology. 985. 211–222. 35 indexed citations
16.
Reyes, Luis H., et al.. (2012). Visualizing evolution in real time to determine the molecular mechanisms of n-butanol tolerance in Escherichia coli. Metabolic Engineering. 14(5). 579–590. 89 indexed citations
17.
Winkler, James D. & Katy C. Kao. (2012). Harnessing recombination to speed adaptive evolution in Escherichia coli. Metabolic Engineering. 14(5). 487–495. 20 indexed citations
18.
Winkler, James D. & Katy C. Kao. (2011). Transcriptional Analysis of Lactobacillus brevis to N-Butanol and Ferulic Acid Stress Responses. PLoS ONE. 6(8). e21438–e21438. 47 indexed citations
19.
Kao, Katy C., Katja Schwartz, & Gavin Sherlock. (2010). A Genome-Wide Analysis Reveals No Nuclear Dobzhansky-Muller Pairs of Determinants of Speciation between S. cerevisiae and S. paradoxus, but Suggests More Complex Incompatibilities. PLoS Genetics. 6(7). e1001038–e1001038. 60 indexed citations
20.
Tran, Linh M., Mark P. Brynildsen, Katy C. Kao, Jason K. Suen, & James C. Liao. (2005). gNCA: A framework for determining transcription factor activity based on transcriptome: identifiability and numerical implementation. Metabolic Engineering. 7(2). 128–141. 75 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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