James T. MacDonald

1.4k total citations
27 papers, 967 citations indexed

About

James T. MacDonald is a scholar working on Molecular Biology, Genetics and Materials Chemistry. According to data from OpenAlex, James T. MacDonald has authored 27 papers receiving a total of 967 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 6 papers in Genetics and 5 papers in Materials Chemistry. Recurrent topics in James T. MacDonald's work include RNA and protein synthesis mechanisms (13 papers), Protein Structure and Dynamics (8 papers) and Gene Regulatory Network Analysis (5 papers). James T. MacDonald is often cited by papers focused on RNA and protein synthesis mechanisms (13 papers), Protein Structure and Dynamics (8 papers) and Gene Regulatory Network Analysis (5 papers). James T. MacDonald collaborates with scholars based in United Kingdom, Tanzania and Austria. James T. MacDonald's co-authors include Paul S. Freemont, Richard Kelwick, Alexander J. Webb, Geoff Baldwin, William R. Taylor, Tom Ellis, Simon J. Moore, Arturo Casini, Kirsten Jensen and Benjamin L. Moore and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

James T. MacDonald

27 papers receiving 952 citations

Peers

James T. MacDonald

GENET

ECOLO

Nathalie Sassoon France

Irina Dementieva United States

Joel Osuna Mexico

Ronald G. Schoner United States

N. Mirjalili United States

Stefan Kol Denmark

Lars Ferbitz Germany

Alan Greener United States

Alan Villalobos United States

Thomas H. Segall-Shapiro United States

Nathalie Sassoon France

James T. MacDonald

500 ×0.6

222 ×1.4

GENET

91 ×0.9

ECOLO

93 ×0.9

29 ×0.4

Citations per year, relative to James T. MacDonald James T. MacDonald (= 1×) peers Nathalie Sassoon

Countries citing papers authored by James T. MacDonald

Since Specialization

Citations

This map shows the geographic impact of James T. MacDonald'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 T. MacDonald with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James T. MacDonald more than expected).

Fields of papers citing papers by James T. MacDonald

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James T. MacDonald

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Crone, Michael A., James T. MacDonald, Paul S. Freemont, & Velia Siciliano. (2022). gDesigner: computational design of synthetic gRNAs for Cas12a-based transcriptional repression in mammalian cells. npj Systems Biology and Applications. 8(1). 34–34. 3 indexed citations

Moore, Simon J., James T. MacDonald, Argyro Tsipa, et al.. (2018). Rapid acquisition and model-based analysis of cell-free transcription–translation reactions from nonmodel bacteria. Proceedings of the National Academy of Sciences. 115(19). E4340–E4349. 138 indexed citations

Salih, Osman, Shaoda He, Sara Planamente, et al.. (2018). Atomic Structure of Type VI Contractile Sheath from Pseudomonas aeruginosa. Structure. 26(2). 329–336.e3. 23 indexed citations

Moore, Simon J., James T. MacDonald, & Paul S. Freemont. (2017). Cell-free synthetic biology for in vitro prototype engineering. Biochemical Society Transactions. 45(3). 785–791. 33 indexed citations

MacDonald, James T. & Velia Siciliano. (2017). Computational Sequence Design with R2oDNA Designer. Methods in molecular biology. 1651. 249–262. 9 indexed citations

Webb, Alexander J., Richard Kelwick, Nicolas Kylilis, et al.. (2016). A protease-based biosensor for the detection of schistosome cercariae. Scientific Reports. 6(1). 24725–24725. 19 indexed citations

Yu, Nan, Hans‐Wilhelm Nützmann, James T. MacDonald, et al.. (2016). Delineation of metabolic gene clusters in plant genomes by chromatin signatures. Nucleic Acids Research. 44(5). 2255–2265. 59 indexed citations

Kelwick, Richard, Alexander J. Webb, James T. MacDonald, & Paul S. Freemont. (2016). Development of a Bacillus subtilis cell-free transcription-translation system for prototyping regulatory elements. Metabolic Engineering. 38. 370–381. 93 indexed citations

MacDonald, James T., et al.. (2016). Synthetic beta-solenoid proteins with the fragment-free computational design of a beta-hairpin extension. Proceedings of the National Academy of Sciences. 113(37). 10346–10351. 26 indexed citations

10.

Kelwick, Richard, James T. MacDonald, Alexander J. Webb, & Paul S. Freemont. (2014). Developments in the Tools and Methodologies of Synthetic Biology. Frontiers in Bioengineering and Biotechnology. 2. 60–60. 69 indexed citations

11.

Campeotto, Ivan, et al.. (2014). Structural and Mechanistic Insight into the Listeria monocytogenes Two-enzyme Lipoteichoic Acid Synthesis System. Journal of Biological Chemistry. 289(41). 28054–28069. 22 indexed citations

12.

Moore, Benjamin L., Lawrence A. Kelley, James Barber, James W. Murray, & James T. MacDonald. (2013). High–quality protein backbone reconstruction from alpha carbons using Gaussian mixture models. Journal of Computational Chemistry. 34(22). 1881–1889. 44 indexed citations

13.

MacDonald, James T., Lawrence A. Kelley, & Paul S. Freemont. (2013). Validating a Coarse-Grained Potential Energy Function through Protein Loop Modelling. PLoS ONE. 8(6). e65770–e65770. 11 indexed citations

14.

Casini, Arturo, James T. MacDonald, Joachim De Jonghe, et al.. (2013). One-pot DNA construction for synthetic biology: the Modular Overlap-Directed Assembly with Linkers (MODAL) strategy. Nucleic Acids Research. 42(1). e7–e7. 90 indexed citations

15.

Lü, Duo, Jan Šilhán, James T. MacDonald, et al.. (2012). Structural basis for the recognition and cleavage of abasic DNA in Neisseria meningitidis. Proceedings of the National Academy of Sciences. 109(42). 16852–16857. 18 indexed citations

16.

Coluzza, Ivan, James T. MacDonald, Michael I. Sadowski, William R. Taylor, & Richard A. Goldstein. (2012). Analytic Markovian Rates for Generalized Protein Structure Evolution. PLoS ONE. 7(5). e34228–e34228. 5 indexed citations

17.

Taylor, William R., Vijayalakshmi Chelliah, Siv Midtun Hollup, James T. MacDonald, & Inge Jonassen. (2009). Probing the “Dark Matter” of Protein Fold Space. Structure. 17(9). 1244–1252. 71 indexed citations

18.

MacDonald, James T., et al.. (2009). De novo backbone scaffolds for protein design. Proteins Structure Function and Bioinformatics. 78(5). 1311–1325. 31 indexed citations

19.

MacDonald, James T., Andrew G. Purkiss, M. A. Smith, et al.. (2005). Unfolding crystallins: The destabilizing role of a β‐hairpin cysteine in βB2‐crystallin by simulation and experiment. Protein Science. 14(5). 1282–1292. 29 indexed citations

20.

MacDonald, James T., et al.. (1976). Development of a Noise Muffler for Certain High Volume Samplers. Journal of the Air Pollution Control Association. 26(9). 883–885. 5 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.

Explore authors with similar magnitude of impact