Christopher J. Petzold
- Molecular Biology top 0.5%
- Microbial Metabolic Engineering and Bioproduction 67
- Plant biochemistry and biosynthesis 23
- Enzyme Catalysis and Immobilization 18
- Biotechnology top 0.5%
- Pharmacology top 0.5%
- Microbial Natural Products and Biosynthesis 27
- Biomedical Engineering top 1%
- Biofuel production and bioconversion 33
- Biochemistry top 2%
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- Mass Spectrometry Techniques and Applications 20
- Advanced Proteomics Techniques and Applications 11
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- Enzyme Structure and Function 10
- Co-authors
- Jay D. KeaslingPaul D. AdamsTanveer S. BatthAindrila MukhopadhyayEdward E. K. BaidooTaek Soon LeeLeanne Jade G. ChanG. Reza Malmirchegini
- Journals
- Nature (1 paper)Science (2 papers)Proceedings of the National Academy of Sciences (6 papers)
- Partner nations
- United StatesDenmarkChina
In The Last Decade
Christopher J. Petzold
168 papers receiving 8.9k citations
Hit Papers
Peers
Comparison fields: 5 of 153
- Molecular Biology 6.9k
- Biotechnology 669
- Pharmacology 950
- Biomedical Engineering 2.1k
- Biochemistry 241
Countries citing papers authored by Christopher J. Petzold
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
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
The 25 scholars most cited alongside Christopher J. Petzold, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 7 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 10 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 1 | |
| 8 | 2023 | 7 | |
| 9 | 2023 | 16 | |
| 10 | 2022 | 7 | |
| 11 | 2021 | 30 | |
| 12 | 2020 | 4 | |
| 13 | 2020 | 19 | |
| 14 | 2019 | 36 | |
| 15 | 2019 | 47 | |
| 16 | 2019 | 67 | |
| 17 | 2018 | 155 | |
| 18 | 2017 | 34 | |
| 19 | 2012 | 145 | |
| 20 | 2012 | 50 |
About Christopher J. Petzold
Christopher J. Petzold is a scholar working on Biotechnology, Molecular Biology and Pharmacology, having authored 175 papers that have together received 9.0k indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (67 papers), Biofuel production and bioconversion (33 papers), Microbial Natural Products and Biosynthesis (27 papers), Plant biochemistry and biosynthesis (23 papers), Mass Spectrometry Techniques and Applications (20 papers), Enzyme Catalysis and Immobilization (18 papers), Advanced Proteomics Techniques and Applications (11 papers) and Enzyme Structure and Function (10 papers). The work is most often cited by research in Molecular Biology (6.9k citations), Biotechnology (669 citations) and Pharmacology (950 citations). Christopher J. Petzold has collaborated with scholars based in United States, Denmark and China. Frequent 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. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.