James Chappell

2.8k total citations
41 papers, 1.9k citations indexed

About

James Chappell is a scholar working on Molecular Biology, Genetics and Biomedical Engineering. According to data from OpenAlex, James Chappell has authored 41 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 11 papers in Genetics and 6 papers in Biomedical Engineering. Recurrent topics in James Chappell's work include CRISPR and Genetic Engineering (24 papers), RNA and protein synthesis mechanisms (18 papers) and Bacterial Genetics and Biotechnology (9 papers). James Chappell is often cited by papers focused on CRISPR and Genetic Engineering (24 papers), RNA and protein synthesis mechanisms (18 papers) and Bacterial Genetics and Biotechnology (9 papers). James Chappell collaborates with scholars based in United States, United Kingdom and Netherlands. James Chappell's co-authors include Julius B. Lucks, Melissa K. Takahashi, Stephen Dalton, Paul S. Freemont, Kirsten Jensen, Kyle E. Watters, Matthew S. Verosloff, Alexandra Westbrook, Vincent Noireaux and Amar M. Singh and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

James Chappell

40 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James Chappell United States 23 1.6k 320 206 105 103 41 1.9k
Ning Shen United States 18 1.0k 0.6× 162 0.5× 125 0.6× 59 0.6× 55 0.5× 55 1.7k
Masaki Warashina Japan 22 1.4k 0.8× 206 0.6× 124 0.6× 252 2.4× 40 0.4× 50 1.8k
Bjørn Holst Denmark 20 991 0.6× 186 0.6× 160 0.8× 195 1.9× 33 0.3× 67 1.4k
Anna Kuchina United States 8 1.2k 0.7× 195 0.6× 81 0.4× 58 0.6× 118 1.1× 14 1.4k
Thierry Calmels France 20 939 0.6× 88 0.3× 73 0.4× 84 0.8× 26 0.3× 39 1.3k
Nobuyuki Ide Japan 22 983 0.6× 237 0.7× 60 0.3× 401 3.8× 47 0.5× 33 1.6k
Simon Ausländer Switzerland 18 1.7k 1.1× 183 0.6× 285 1.4× 125 1.2× 34 0.3× 27 1.9k
Christoph Patsch Switzerland 14 910 0.6× 235 0.7× 110 0.5× 62 0.6× 23 0.2× 29 1.2k

Countries citing papers authored by James Chappell

Since Specialization
Citations

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

Fields of papers citing papers by James Chappell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James Chappell. 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 James Chappell. The network helps show where James Chappell may publish in the future.

Co-authorship network of co-authors of James Chappell

This figure shows the co-authorship network connecting the top 25 collaborators of James Chappell. A scholar is included among the top collaborators of James Chappell 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 James Chappell. James Chappell 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.
Kalvapalle, Prashant, et al.. (2025). Information storage across a microbial community using universal RNA barcoding. Nature Biotechnology. 44(2). 269–276. 9 indexed citations
2.
Chappell, James, et al.. (2025). Controlling the Taxonomic Composition of Biological Information Storage in 16S rRNA. ACS Synthetic Biology. 14(9). 3530–3542.
3.
Davenport, Peter W., et al.. (2024). A bumpy road ahead for genetic biocontainment. Nature Communications. 15(1). 650–650. 18 indexed citations
4.
Liu, Baiyang, Christian Cuba Samaniego, Matthew R. Bennett, Elisa Franco, & James Chappell. (2023). A portable regulatory RNA array design enables tunable and complex regulation across diverse bacteria. Nature Communications. 14(1). 5268–5268. 6 indexed citations
5.
Chappell, James, et al.. (2022). Activating natural product synthesis using CRISPR interference and activation systems in Streptomyces. Nucleic Acids Research. 50(13). 7751–7760. 37 indexed citations
6.
Westbrook, Alexandra, Xun Tang, Ryan Marshall, et al.. (2019). Distinct timescales of RNA regulators enable the construction of a genetic pulse generator. Biotechnology and Bioengineering. 116(5). 1139–1151. 40 indexed citations
7.
Shis, David L., et al.. (2019). A synthetic system for asymmetric cell division in Escherichia coli. Nature Chemical Biology. 15(9). 917–924. 25 indexed citations
8.
Chappell, James, Alexandra Westbrook, Matthew S. Verosloff, & Julius B. Lucks. (2017). Computational design of small transcription activating RNAs for versatile and dynamic gene regulation. Nature Communications. 8(1). 1051–1051. 103 indexed citations
9.
Huurne, Menno ter, James Chappell, Stephen Dalton, & Hendrik G. Stunnenberg. (2017). Distinct Cell-Cycle Control in Two Different States of Mouse Pluripotency. Cell stem cell. 21(4). 449–455.e4. 53 indexed citations
10.
Takahashi, Melissa K., Clarmyra A. Hayes, James Chappell, et al.. (2015). Characterizing and prototyping genetic networks with cell-free transcription–translation reactions. Methods. 86. 60–72. 93 indexed citations
11.
Chappell, James, Melissa K. Takahashi, & Julius B. Lucks. (2015). Creating small transcription activating RNAs. Nature Chemical Biology. 11(3). 214–220. 190 indexed citations
12.
Chappell, James, et al.. (2015). Expanding the Utility of FUCCI Reporters Using FACS-Based Omics Analysis. Methods in molecular biology. 1341. 101–110. 2 indexed citations
13.
Singh, Amar M., James Chappell, Li Lin, et al.. (2013). Cell-Cycle Control of Developmentally Regulated Transcription Factors Accounts for Heterogeneity in Human Pluripotent Cells. Stem Cell Reports. 1(6). 532–544. 108 indexed citations
14.
Chappell, James, Yuhua Sun, Amar M. Singh, & Stephen Dalton. (2013). MYC/MAX control ERK signaling and pluripotency by regulation of dual-specificity phosphatases 2 and 7. Genes & Development. 27(7). 725–733. 57 indexed citations
15.
Chappell, James, Kirsten Jensen, & Paul S. Freemont. (2013). Validation of an entirely in vitro approach for rapid prototyping of DNA regulatory elements for synthetic biology. Nucleic Acids Research. 41(5). 3471–3481. 134 indexed citations
16.
Chappell, James & Paul S. Freemont. (2013). In Vivo and In Vitro Characterization of σ 70 Constitutive Promoters by Real-Time PCR and Fluorescent Measurements. Methods in molecular biology. 1073. 61–74. 3 indexed citations
17.
Chappell, James, et al.. (2013). The centrality of RNA for engineering gene expression. Biotechnology Journal. 8(12). 1379–1395. 62 indexed citations
18.
Chappell, James & Stephen Dalton. (2013). Roles for MYC in the Establishment and Maintenance of Pluripotency. Cold Spring Harbor Perspectives in Medicine. 3(12). a014381–a014381. 94 indexed citations
19.
Finlayson, Christina, James Chappell, J. Wayne Leitner, et al.. (2003). Enhanced insulin signaling via Shc in human breast cancer. Metabolism. 52(12). 1606–1611. 27 indexed citations
20.
Chappell, James, et al.. (2000). Potentiation of Rho-A-mediated Lysophosphatidic Acid Activity by Hyperinsulinemia. Journal of Biological Chemistry. 275(41). 31792–31797. 36 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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