Michael C. Jewett

18.1k total citations · 4 hit papers
214 papers, 11.5k citations indexed

About

Michael C. Jewett is a scholar working on Molecular Biology, Genetics and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Michael C. Jewett has authored 214 papers receiving a total of 11.5k indexed citations (citations by other indexed papers that have themselves been cited), including 199 papers in Molecular Biology, 40 papers in Genetics and 30 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Michael C. Jewett's work include RNA and protein synthesis mechanisms (100 papers), CRISPR and Genetic Engineering (59 papers) and Microbial Metabolic Engineering and Bioproduction (46 papers). Michael C. Jewett is often cited by papers focused on RNA and protein synthesis mechanisms (100 papers), CRISPR and Genetic Engineering (59 papers) and Microbial Metabolic Engineering and Bioproduction (46 papers). Michael C. Jewett collaborates with scholars based in United States, Denmark and United Kingdom. Michael C. Jewett's co-authors include Ashty S. Karim, C. Eric Hodgman, James R. Swartz, Adam D. Silverman, Erik D. Carlson, Quentin M. Dudley, Rui Gan, Jens Nielsen, Jian Li and Jessica C. Stark and has published in prestigious journals such as Nature, Science and Chemical Reviews.

In The Last Decade

Michael C. Jewett

207 papers receiving 11.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Cell-free protein synthesis: Applications come of age

2011 522 citations Erik D. Carlson, Michael C. Jewett et al. Biotechnology Advances profile →
Cell-free gene expression: an expanded repertoire of applications

2019 429 citations Adam D. Silverman, Ashty S. Karim et al. profile →
De novo design of protein logic gates

2020 158 citations Andrew C. Hunt, Michael C. Jewett et al. profile →
Accelerated enzyme engineering by machine-learning guided cell-free expression

2025 38 citations Ashty S. Karim, Michael C. Jewett et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael C. Jewett United States	61	10.3k	1.7k	1.6k	1.2k	1.2k	214	11.5k
Willem P.C. Stemmer United States	30	5.8k 0.6×	838 0.5×	1.3k 0.8×	488 0.4×	912 0.8×	49	7.0k
Christopher A. Voigt United States	63	13.1k 1.3×	2.8k 1.6×	3.1k 1.9×	1.2k 0.9×	202 0.2×	145	16.4k
James R. Swartz United States	53	5.6k 0.5×	729 0.4×	1.2k 0.7×	1.2k 1.0×	1.3k 1.1×	124	7.6k
Daniel G. Gibson United States	25	8.8k 0.9×	948 0.6×	2.7k 1.7×	1.3k 1.0×	212 0.2×	36	10.8k
Diethard Mattanovich Austria	61	9.6k 0.9×	3.2k 1.9×	960 0.6×	401 0.3×	537 0.5×	212	11.5k
William J. Dower United States	25	6.2k 0.6×	641 0.4×	1.1k 0.7×	878 0.7×	2.3k 2.0×	41	8.5k
Joachim Jose Germany	37	3.1k 0.3×	837 0.5×	548 0.3×	490 0.4×	1.1k 0.9×	252	5.0k
Farren J. Isaacs United States	38	7.2k 0.7×	721 0.4×	2.2k 1.4×	656 0.5×	270 0.2×	63	8.2k
Lei Young Australia	8	6.7k 0.7×	741 0.4×	2.0k 1.2×	1.0k 0.8×	168 0.1×	13	8.4k
Mirosław Cygler Canada	59	10.2k 1.0×	545 0.3×	943 0.6×	520 0.4×	442 0.4×	246	13.8k

Countries citing papers authored by Michael C. Jewett

Since Specialization

Citations

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

Fields of papers citing papers by Michael C. Jewett

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael C. Jewett

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

All Works

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20 of 20 papers shown

Harrison, Ian T., et al.. (2025). LDBT instead of DBTL: combining machine learning and rapid cell-free testing. Nature Communications. 16(1). 9782–9782.

Mahajan, Sai Pooja, Christopher A. Alabi, Parastoo Azadi, et al.. (2025). Discovery of a single-subunit oligosaccharyltransferase that enables glycosylation of full-length IgG antibodies in bacteria. Nature Communications. 16(1). 6152–6152. 2 indexed citations

Jewett, Michael C., et al.. (2024). Bacterial glycoengineering: Cell-based and cell-free routes for producing biopharmaceuticals with customized glycosylation. Current Opinion in Chemical Biology. 81. 102500–102500. 3 indexed citations

Hunt, Andrew C., et al.. (2024). Cell-Free Gene Expression: Methods and Applications. Chemical Reviews. 125(1). 91–149. 21 indexed citations

Karim, Ashty S., Ludmilla Aristilde, Yogesh Goyal, et al.. (2024). Deconstructing synthetic biology across scales: a conceptual approach for training synthetic biologists. Nature Communications. 15(1). 5425–5425. 6 indexed citations

Warfel, Katherine F., Émilie Gillon, Annabelle Varrot, et al.. (2023). Cell-free expression and characterization of multivalent rhamnose-binding lectins using bio-layer interferometry. Glycobiology. 33(5). 358–363. 4 indexed citations

Jewett, Michael C., et al.. (2023). Glycovaccinology: The design and engineering of carbohydrate-based vaccine components. Biotechnology Advances. 68. 108234–108234. 10 indexed citations

Jung, Jaeyoung K., Blake J. Rasor, Adam D. Silverman, et al.. (2023). At-Home, Cell-Free Synthetic Biology Education Modules for Transcriptional Regulation and Environmental Water Quality Monitoring. ACS Synthetic Biology. 12(10). 2909–2921. 13 indexed citations

Kuhn, Robert M., et al.. (2022). Development of a Freeze-Dried CRISPR-Cas12 Sensor for Detecting Wolbachia in the Secondary Science Classroom. ACS Synthetic Biology. 11(2). 835–842. 30 indexed citations

10.

Kennedy, Nolan W., et al.. (2022). Linking the Salmonella enterica 1,2-Propanediol Utilization Bacterial Microcompartment Shell to the Enzymatic Core via the Shell Protein PduB. Journal of Bacteriology. 204(9). e0057621–e0057621. 12 indexed citations

11.

Vögeli, Bastian, Luca Schulz, Shivani Garg, et al.. (2022). Cell-free prototyping enables implementation of optimized reverse β-oxidation pathways in heterotrophic and autotrophic bacteria. Nature Communications. 13(1). 3058–3058. 52 indexed citations

12.

Mills, Carolyn E., Nolan W. Kennedy, Eric W. Roth, et al.. (2022). Vertex protein PduN tunes encapsulated pathway performance by dictating bacterial metabolosome morphology. Nature Communications. 13(1). 3746–3746. 19 indexed citations

13.

Silverman, Adam D., et al.. (2020). Design and Optimization of a Cell-Free Atrazine Biosensor. ACS Synthetic Biology. 9(3). 671–677. 87 indexed citations

14.

Liang, Lin, Weston Kightlinger, Adam J. Hockenberry, et al.. (2020). Sequential Glycosylation of Proteins with Substrate-Specific N-Glycosyltransferases. ACS Central Science. 6(2). 144–154. 33 indexed citations

15.

Carlson, Erik D., Anne E. d’Aquino, Do Soon Kim, et al.. (2019). Engineered ribosomes with tethered subunits for expanding biological function. Nature Communications. 10(1). 3920–3920. 55 indexed citations

16.

Yesselman, Joseph D., Daniel Eiler, Erik D. Carlson, et al.. (2019). Computational design of three-dimensional RNA structure and function. Nature Nanotechnology. 14(9). 866–873. 49 indexed citations

17.

Hockenberry, Adam J., et al.. (2018). A novel framework for evaluating the performance of codon usage bias metrics. Journal of The Royal Society Interface. 15(138). 20170667–20170667. 8 indexed citations

18.

Huang, Ally, Peter Q. Nguyen, Jessica C. Stark, et al.. (2018). BioBits™ Explorer: A modular synthetic biology education kit. Science Advances. 4(8). eaat5105–eaat5105. 96 indexed citations

19.

Hockenberry, Adam J., et al.. (2017). Leveraging genome-wide datasets to quantify the functional role of the anti-Shine–Dalgarno sequence in regulating translation efficiency. Open Biology. 7(1). 160239–160239. 19 indexed citations

20.

Moxley, Joel F., Michael C. Jewett, Maciek R. Antoniewicz, et al.. (2009). Linking high-resolution metabolic flux phenotypes and transcriptional regulation in yeast modulated by the global regulator Gcn4p. Proceedings of the National Academy of Sciences. 106(16). 6477–6482. 129 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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