James A. Davey

453 total citations
13 papers, 356 citations indexed

About

James A. Davey is a scholar working on Molecular Biology, Materials Chemistry and Genetics. According to data from OpenAlex, James A. Davey has authored 13 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 3 papers in Materials Chemistry and 2 papers in Genetics. Recurrent topics in James A. Davey's work include Protein Structure and Dynamics (6 papers), RNA and protein synthesis mechanisms (6 papers) and Bacterial Genetics and Biotechnology (2 papers). James A. Davey is often cited by papers focused on Protein Structure and Dynamics (6 papers), RNA and protein synthesis mechanisms (6 papers) and Bacterial Genetics and Biotechnology (2 papers). James A. Davey collaborates with scholars based in Canada, United States and China. James A. Davey's co-authors include Roberto A. Chica, Natalie K. Goto, Adam M. Damry, James S. Wright, Ji Qi, Gang Qian, Zhi Yuan Wang, Corey J. Wilson, Jean‐François Couture and Fred Elisma and has published in prestigious journals such as Nucleic Acids Research, Chemistry of Materials and The Journal of Organic Chemistry.

In The Last Decade

James A. Davey

12 papers receiving 355 citations

Peers

James A. Davey
Izaskun Echabe Spain
Andrea A. Greschner Canada
Adam M. Damry Australia
Thomas P. Treynor United States
Bert Lai United States
Martin Vít Czechia
Adam Belsom United Kingdom
Meng Qing China
Izaskun Echabe Spain
James A. Davey
Citations per year, relative to James A. Davey James A. Davey (= 1×) peers Izaskun Echabe

Countries citing papers authored by James A. Davey

Since Specialization
Citations

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

Fields of papers citing papers by James A. Davey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James A. Davey

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

All Works

13 of 13 papers shown
1.
Davey, James A. & Corey J. Wilson. (2020). Engineered signal-coupled inducible promoters: measuring the apparent RNA-polymerase resource budget. Nucleic Acids Research. 48(17). 9995–10012. 9 indexed citations
2.
Davey, James A., Adam M. Damry, Natalie K. Goto, & Roberto A. Chica. (2017). Rational design of proteins that exchange on functional timescales. Nature Chemical Biology. 13(12). 1280–1285. 67 indexed citations
3.
Davey, James A. & Corey J. Wilson. (2017). Deconstruction of complex protein signaling switches: a roadmap toward engineering higher‐order gene regulators. Wiley Interdisciplinary Reviews Nanomedicine and Nanobiotechnology. 9(6). 5 indexed citations
4.
Davey, James A. & Roberto A. Chica. (2016). Multistate Computational Protein Design with Backbone Ensembles. Methods in molecular biology. 1529. 161–179. 15 indexed citations
5.
Hari, Taylor P. A., et al.. (2015). Diastereoseletive Transannular Oxa-Conjugate Addition Generates the 2,6-cis-Disubstituted Tetrahydropyran of Neopeltolide. The Journal of Organic Chemistry. 81(2). 415–423. 6 indexed citations
6.
Davey, James A., et al.. (2015). Prediction of Stable Globular Proteins Using Negative Design with Non-native Backbone Ensembles. Structure. 23(11). 2011–2021. 19 indexed citations
7.
Baran, Miranda J., et al.. (2015). Brighter Red Fluorescent Proteins by Rational Design of Triple-Decker Motif. ACS Chemical Biology. 11(2). 508–517. 19 indexed citations
8.
Lanouette, Sylvain, James A. Davey, Fred Elisma, et al.. (2014). Discovery of Substrates for a SET Domain Lysine Methyltransferase Predicted by Multistate Computational Protein Design. Structure. 23(1). 206–215. 32 indexed citations
9.
Davey, James A. & Roberto A. Chica. (2014). Optimization of rotamers prior to template minimization improves stability predictions made by computational protein design. Protein Science. 24(4). 545–560. 6 indexed citations
10.
Davey, James A. & Roberto A. Chica. (2013). Improving the accuracy of protein stability predictions with multistate design using a variety of backbone ensembles. Proteins Structure Function and Bioinformatics. 82(5). 771–784. 40 indexed citations
11.
Davey, James A. & Roberto A. Chica. (2012). Multistate approaches in computational protein design. Protein Science. 21(9). 1241–1252. 61 indexed citations
12.
Qian, Gang, Ji Qi, James A. Davey, James S. Wright, & Zhi Yuan Wang. (2012). Family of Diazapentalene Chromophores and Narrow-Band-Gap Polymers: Synthesis, Halochromism, Halofluorism, and Visible–Near Infrared Photodetectivity. Chemistry of Materials. 24(12). 2364–2372. 77 indexed citations
13.
Davey, James A., et al.. (2003). Essential cell biology.

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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