Anthony M. Mustoe

2.1k total citations
28 papers, 1.3k citations indexed

About

Anthony M. Mustoe is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Genetics. According to data from OpenAlex, Anthony M. Mustoe has authored 28 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 1 paper in Cardiology and Cardiovascular Medicine and 1 paper in Genetics. Recurrent topics in Anthony M. Mustoe's work include RNA and protein synthesis mechanisms (25 papers), RNA Research and Splicing (25 papers) and RNA modifications and cancer (22 papers). Anthony M. Mustoe is often cited by papers focused on RNA and protein synthesis mechanisms (25 papers), RNA Research and Splicing (25 papers) and RNA modifications and cancer (22 papers). Anthony M. Mustoe collaborates with scholars based in United States and Spain. Anthony M. Mustoe's co-authors include Hashim M. Al‐Hashimi, Charles L. Brooks, Kevin M. Weeks, Elizabeth A. Dethoff, Jeetender Chugh, Steven Busan, Chase A. Weidmann, Greggory M. Rice, Christine E. Hajdin and Vera M. Ruda and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Anthony M. Mustoe

27 papers receiving 1.3k citations

Peers

Anthony M. Mustoe

GENET

ECOLO

CCM

K.D. Warner United States

Andreas Schlundt Germany

Dmitry E. Agafonov Germany

Aaron A. Hoskins United States

David S. Horowitz United States

Elizabeth A. Dethoff United States

Ute Kothe Canada

N. Demeshkina Russia

Honglue Shi United States

Mikael Holm United States

K.D. Warner United States

Anthony M. Mustoe

930 ×0.7

48 ×0.4

GENET

87 ×1.0

52 ×1.0

ECOLO

32 ×0.6

CCM

Citations per year, relative to Anthony M. Mustoe Anthony M. Mustoe (= 1×) peers K.D. Warner

Countries citing papers authored by Anthony M. Mustoe

Since Specialization

Citations

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

Fields of papers citing papers by Anthony M. Mustoe

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anthony M. Mustoe. 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 Anthony M. Mustoe. The network helps show where Anthony M. Mustoe may publish in the future.

Co-authorship network of co-authors of Anthony M. Mustoe

This figure shows the co-authorship network connecting the top 25 collaborators of Anthony M. Mustoe. A scholar is included among the top collaborators of Anthony M. Mustoe 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 Anthony M. Mustoe. Anthony M. Mustoe 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

Mustoe, Anthony M., et al.. (2024). Causes, functions, and therapeutic possibilities of RNA secondary structure ensembles and alternative states. Cell chemical biology. 31(1). 17–35. 18 indexed citations

Mitchell, David, et al.. (2023). Mutation signature filtering enables high-fidelity RNA structure probing at all four nucleobases with DMS. Nucleic Acids Research. 51(16). 8744–8757. 21 indexed citations

Mustoe, Anthony M., Chase A. Weidmann, & Kevin M. Weeks. (2023). Single-Molecule Correlated Chemical Probing: A Revolution in RNA Structure Analysis. Accounts of Chemical Research. 56(7). 763–775. 10 indexed citations

Turner, Anne‐Marie W., et al.. (2022). Discovery of a large-scale, cell-state-responsive allosteric switch in the 7SK RNA using DANCE-MaP. Molecular Cell. 82(9). 1708–1723.e10. 52 indexed citations

Lackey, Lela, et al.. (2022). Quantitative prediction of variant effects on alternative splicing in MAPT using endogenous pre-messenger RNA structure probing. eLife. 11. 12 indexed citations

Dhindsa, Ryan S., Brett Copeland, Anthony M. Mustoe, & David B. Goldstein. (2020). Natural Selection Shapes Codon Usage in the Human Genome. The American Journal of Human Genetics. 107(1). 83–95. 41 indexed citations

Weidmann, Chase A., Anthony M. Mustoe, Parth B. Jariwala, J. Mauro Calabrese, & Kevin M. Weeks. (2020). Analysis of RNA–protein networks with RNP-MaP defines functional hubs on RNA. Nature Biotechnology. 39(3). 347–356. 50 indexed citations

Mustoe, Anthony M., Steven Busan, Greggory M. Rice, et al.. (2018). Pervasive Regulatory Functions of mRNA Structure Revealed by High-Resolution SHAPE Probing. Cell. 173(1). 181–195.e18. 194 indexed citations

Daher, May, Anthony M. Mustoe, Alex Morriss-Andrews, Charles L. Brooks, & Nils G. Walter. (2017). Tuning RNA folding and function through rational design of junction topology. Nucleic Acids Research. 45(16). 9706–9715. 8 indexed citations

10.

Mustoe, Anthony M., et al.. (2015). Noncanonical Secondary Structure Stabilizes Mitochondrial tRNA ^Ser(UCN) by Reducing the Entropic Cost of Tertiary Folding. Journal of the American Chemical Society. 137(10). 3592–3599. 15 indexed citations

11.

Mustoe, Anthony M., Hashim M. Al‐Hashimi, & Charles L. Brooks. (2015). Secondary structure encodes a cooperative tertiary folding funnel in theAzoarcusribozyme. Nucleic Acids Research. 44(1). 402–412. 4 indexed citations

12.

Mustoe, Anthony M., Charles L. Brooks, & Hashim M. Al‐Hashimi. (2014). Hierarchy of RNA Functional Dynamics. Annual Review of Biochemistry. 83(1). 441–466. 140 indexed citations

13.

Mustoe, Anthony M., Charles L. Brooks, & Hashim M. Al‐Hashimi. (2014). Topological constraints are major determinants of tRNA tertiary structure and dynamics and provide basis for tertiary folding cooperativity. Nucleic Acids Research. 42(18). 11792–11804. 19 indexed citations

14.

Ganser, Laura R., Anthony M. Mustoe, & Hashim M. Al‐Hashimi. (2014). An RNA tertiary switch by modifying how helices are tethered. Genome biology. 15(7). 425–425. 3 indexed citations

15.

Dickson, Alex, Anthony M. Mustoe, Loïc Salmon, & Charles L. Brooks. (2014). Efficient in silico exploration of RNA interhelical conformations using Euler angles and WExplore. Nucleic Acids Research. 42(19). 12126–12137. 21 indexed citations

16.

Guimerà, Roger, et al.. (2013). Use of a global metabolic network to curate organismal metabolic networks. Scientific Reports. 3(1). 1695–1695. 11 indexed citations

17.

Dethoff, Elizabeth A., Jeetender Chugh, Anthony M. Mustoe, & Hashim M. Al‐Hashimi. (2012). Functional complexity and regulation through RNA dynamics. Nature. 482(7385). 322–330. 262 indexed citations

18.

Mustoe, Anthony M., et al.. (2011). 3D maps of RNA interhelical junctions. Nature Protocols. 6(10). 1536–1545. 43 indexed citations

19.

Mustoe, Anthony M., et al.. (2011). New insights into the fundamental role of topological constraints as a determinant of two-way junction conformation. Nucleic Acids Research. 40(2). 892–904. 32 indexed citations

20.

Mustoe, Anthony M., et al.. (2011). Topological constraints: using RNA secondary structure to model 3D conformation, folding pathways, and dynamic adaptation. Current Opinion in Structural Biology. 21(3). 296–305. 50 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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