Christopher J. Petzold

13.9k total citations · 2 hit papers
175 papers, 9.0k citations indexed

About

Christopher J. Petzold is a scholar working on Molecular Biology, Biomedical Engineering and Pharmacology. According to data from OpenAlex, Christopher J. Petzold has authored 175 papers receiving a total of 9.0k indexed citations (citations by other indexed papers that have themselves been cited), including 124 papers in Molecular Biology, 42 papers in Biomedical Engineering and 28 papers in Pharmacology. Recurrent topics in Christopher J. Petzold's work include Microbial Metabolic Engineering and Bioproduction (67 papers), Biofuel production and bioconversion (33 papers) and Microbial Natural Products and Biosynthesis (27 papers). Christopher J. Petzold is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (67 papers), Biofuel production and bioconversion (33 papers) and Microbial Natural Products and Biosynthesis (27 papers). Christopher J. Petzold collaborates with scholars based in United States, Denmark and China. Christopher J. Petzold's co-authors include Jay D. Keasling, Paul D. Adams, Tanveer S. Batth, Aindrila Mukhopadhyay, Edward E. K. Baidoo, Taek Soon Lee, Leanne Jade G. Chan, G. Reza Malmirchegini, Kristala L. J. Prather and Gabriel C. Wu and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Christopher J. Petzold

168 papers receiving 8.9k citations

Hit Papers

Synthetic protein scaffolds provide modular control over ... 2009 2026 2014 2020 2009 2013 250 500 750

Peers

Christopher J. Petzold
Bo Jiang China
Aindrila Mukhopadhyay United States
Michael D. Burkart United States
Michael Bott Germany
David B. Archer United Kingdom
Christopher J. Petzold
Citations per year, relative to Christopher J. Petzold Christopher J. Petzold (= 1×) peers Jean François

Countries citing papers authored by Christopher J. Petzold

Since Specialization
Citations

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

Fields of papers citing papers by Christopher J. Petzold

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher J. Petzold. 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 Christopher J. Petzold. The network helps show where Christopher J. Petzold may publish in the future.

Co-authorship network of co-authors of Christopher J. Petzold

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher J. Petzold. A scholar is included among the top collaborators of Christopher J. Petzold 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 Christopher J. Petzold. Christopher J. Petzold 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.
Carr, Alex V., Kristopher A. Hunt, Yan Chen, et al.. (2025). Emergence and disruption of cooperativity in a denitrifying microbial community. The ISME Journal. 19(1). 1 indexed citations
2.
Dan, Qingyun, Namil Lee, J.H. Pereira, et al.. (2025). A polyketide-based biosynthetic platform for diols, amino alcohols and hydroxy acids. Nature Catalysis. 8(2). 147–161. 7 indexed citations
3.
Chen, Yan, Jennifer Gin, Emine Akyüz Turumtay, et al.. (2025). Biosensor-driven strain engineering reveals key cellular processes for maximizing isoprenol production in Pseudomonas putida. Science Advances. 11(43). eady2677–eady2677. 1 indexed citations
4.
Chen, Yan, Jennifer Gin, Ian Sofian Yunus, et al.. (2025). Automation and machine learning drive rapid optimization of isoprenol production in Pseudomonas putida. Nature Communications. 16(1). 11489–11489.
5.
Winegar, Peter H., Graham A. Hudson, M. Astolfi, et al.. (2024). Verazine biosynthesis from simple sugars in engineered Saccharomyces cerevisiae. Metabolic Engineering. 85. 145–158. 10 indexed citations
7.
Turumtay, Emine Akyüz, Chien-Yuan Lin, Yen Ning Chai, et al.. (2024). Expression of dehydroshikimate dehydratase in poplar induces transcriptional and metabolic changes in the phenylpropanoid pathway. Journal of Experimental Botany. 75(16). 4960–4977. 1 indexed citations
9.
Lee, Namil, Chunjun Zhan, Yan Chen, et al.. (2023). Maximizing Heterologous Expression of Engineered Type I Polyketide Synthases: Investigating Codon Optimization Strategies. ACS Synthetic Biology. 12(11). 3366–3380. 16 indexed citations
10.
Farquhar, Erik R., Rohit Jain, Michael Sullivan, et al.. (2022). An automated liquid jet for fluorescence dosimetry and microsecond radiolytic labeling of proteins. Communications Biology. 5(1). 866–866. 7 indexed citations
11.
Ha, Noel S., et al.. (2021). Faster, better, and cheaper: harnessing microfluidics and mass spectrometry for biotechnology. RSC Chemical Biology. 2(5). 1331–1351. 30 indexed citations
12.
Chen, Yan, Mette Kristensen, Konstantin Schneider, et al.. (2020). Systems Analysis of NADH Dehydrogenase Mutants Reveals Flexibility and Limits of Pseudomonas taiwanensis VLB120’s Metabolism. Applied and Environmental Microbiology. 86(11). 4 indexed citations
13.
Jakočiūnas, Tadas, Andreas Klitgaard, Julie B. Nielsen, et al.. (2020). Programmable polyketide biosynthesis platform for production of aromatic compounds in yeast. Synthetic and Systems Biotechnology. 5(1). 11–18. 19 indexed citations
14.
Parsons, Harriet T., Tim J. Stevens, Heather E. McFarlane, et al.. (2019). Separating Golgi Proteins from Cis to Trans Reveals Underlying Properties of Cisternal Localization. The Plant Cell. 31(9). 2010–2034. 36 indexed citations
15.
Thompson, Mitchell G., Jacquelyn M. Blake-Hedges, Pablo Cruz‐Morales, et al.. (2019). Massively Parallel Fitness Profiling Reveals Multiple Novel Enzymes in Pseudomonas putida Lysine Metabolism. mBio. 10(3). 47 indexed citations
16.
Luu, Dee Dee, Anna Joe, Yan Chen, et al.. (2019). Biosynthesis and secretion of the microbial sulfated peptide RaxX and binding to the rice XA21 immune receptor. Proceedings of the National Academy of Sciences. 116(17). 8525–8534. 67 indexed citations
17.
Budin, Itay, Tristan de Rond, Yan Chen, et al.. (2018). Viscous control of cellular respiration by membrane lipid composition. Science. 362(6419). 1186–1189. 155 indexed citations
18.
Alonso-Gutiérrez, Jorge, Daisuke Koma, Qijun Hu, et al.. (2017). Toward industrial production of isoprenoids in Escherichia coli: Lessons learned from CRISPR‐Cas9 based optimization of a chromosomally integrated mevalonate pathway. Biotechnology and Bioengineering. 115(4). 1000–1013. 34 indexed citations
19.
Zhang, Fuzhong, Mario Ouellet, Tanveer S. Batth, et al.. (2012). Enhancing fatty acid production by the expression of the regulatory transcription factor FadR. Metabolic Engineering. 14(6). 653–660. 145 indexed citations
20.
McKee, Adrienne E., Dylan Chivian, Darmawi Juminaga, et al.. (2012). Manipulation of the carbon storage regulator system for metabolite remodeling and biofuel production in Escherichia coli. Microbial Cell Factories. 11(1). 79–79. 50 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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