C.M. Miton

1.0k total citations
12 papers, 637 citations indexed

About

C.M. Miton is a scholar working on Molecular Biology, Genetics and Biomedical Engineering. According to data from OpenAlex, C.M. Miton has authored 12 papers receiving a total of 637 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 6 papers in Genetics and 2 papers in Biomedical Engineering. Recurrent topics in C.M. Miton's work include Evolution and Genetic Dynamics (5 papers), Protein Structure and Dynamics (4 papers) and RNA and protein synthesis mechanisms (4 papers). C.M. Miton is often cited by papers focused on Evolution and Genetic Dynamics (5 papers), Protein Structure and Dynamics (4 papers) and RNA and protein synthesis mechanisms (4 papers). C.M. Miton collaborates with scholars based in Canada, Australia and Sweden. C.M. Miton's co-authors include Nobuhiko Tokuriki, Florian Hollfelder, Marko Hyvönen, Mark F. Mohamed, Gerhard W. Fischer, Bálint Kintses, Fabrice Gielen, Diego Morgavi, Dick B. Janssen and Pierre-Yves Colin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Biochemistry.

In The Last Decade

C.M. Miton

12 papers receiving 636 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
C.M. Miton Canada	11	471	140	134	84	56	12	637
Miriam Kaltenbach United Kingdom	13	644 1.4×	92 0.7×	140 1.0×	182 2.2×	29 0.5×	14	775
Ursula Schell Germany	18	673 1.4×	242 1.7×	88 0.7×	97 1.2×	88 1.6×	26	985
G. Reza Malmirchegini United States	7	1.0k 2.1×	191 1.4×	114 0.9×	68 0.8×	41 0.7×	8	1.2k
Sara Castaño‐Cerezo Spain	12	562 1.2×	132 0.9×	125 0.9×	145 1.7×	12 0.2×	16	703
Liyuan Lin China	13	347 0.7×	177 1.3×	31 0.2×	69 0.8×	17 0.3×	37	607
Kalia Bernath-Levin Israel	14	634 1.3×	308 2.2×	83 0.6×	40 0.5×	136 2.4×	17	955
Christian Bille Jendresen Denmark	16	569 1.2×	201 1.4×	105 0.8×	27 0.3×	31 0.6×	24	788
Jonathan A. Goler United States	7	589 1.3×	85 0.6×	168 1.3×	34 0.4×	13 0.2×	10	671
Patrick V. Phaneuf United States	13	517 1.1×	121 0.9×	207 1.5×	33 0.4×	8 0.1×	27	608
Karen Stirrett United States	10	373 0.8×	59 0.4×	89 0.7×	56 0.7×	6 0.1×	10	550

Countries citing papers authored by C.M. Miton

Since Specialization

Citations

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

Fields of papers citing papers by C.M. Miton

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C.M. Miton

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

12 of 12 papers shown

Spence, Matthew A., Adam C. Mater, James Nichols, et al.. (2024). Leveraging ancestral sequence reconstruction for protein representation learning. Nature Machine Intelligence. 6(12). 1542–1555. 6 indexed citations

Miton, C.M., et al.. (2023). Molecular determinants of protein evolvability. Trends in Biochemical Sciences. 48(9). 751–760. 19 indexed citations

Miton, C.M., et al.. (2023). Pervasive epistasis exposes intramolecular networks in adaptive enzyme evolution. Nature Communications. 14(1). 8508–8508. 18 indexed citations

Miton, C.M. & Nobuhiko Tokuriki. (2022). Insertions and Deletions (Indels): A Missing Piece of the Protein Engineering Jigsaw. Biochemistry. 62(2). 148–157. 21 indexed citations

Miton, C.M., et al.. (2021). Epistasis and intramolecular networks in protein evolution. Current Opinion in Structural Biology. 69. 160–168. 52 indexed citations

Copp, Janine N., Daniel Pletzer, Joris van der Heijden, et al.. (2020). Mechanistic Understanding Enables the Rational Design of Salicylanilide Combination Therapies for Gram-Negative Infections. mBio. 11(5). 32 indexed citations

Miton, C.M., et al.. (2020). A mechanistic view of enzyme evolution. Protein Science. 29(8). 1724–1747. 59 indexed citations

Miton, C.M., et al.. (2020). Statistical analysis of mutational epistasis to reveal intramolecular interaction networks in proteins. Methods in enzymology on CD-ROM/Methods in enzymology. 643. 243–280. 16 indexed citations

Baier, Florian, Nansook Hong, Anna Pabis, et al.. (2019). Cryptic genetic variation shapes the adaptive evolutionary potential of enzymes. eLife. 8. 34 indexed citations

10.

Miton, C.M., Stefanie Jonas, Gerhard W. Fischer, et al.. (2018). Evolutionary repurposing of a sulfatase: A new Michaelis complex leads to efficient transition state charge offset. Proceedings of the National Academy of Sciences. 115(31). E7293–E7302. 31 indexed citations

11.

Miton, C.M. & Nobuhiko Tokuriki. (2016). How mutational epistasis impairs predictability in protein evolution and design. Protein Science. 25(7). 1260–1272. 139 indexed citations

12.

Colin, Pierre-Yves, Bálint Kintses, Fabrice Gielen, et al.. (2015). Ultrahigh-throughput discovery of promiscuous enzymes by picodroplet functional metagenomics. Nature Communications. 6(1). 10008–10008. 210 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