Ethan A. Mirsky

2.5k total citations · 1 hit paper
5 papers, 1.9k citations indexed

About

Ethan A. Mirsky is a scholar working on Molecular Biology, Genetics and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Ethan A. Mirsky has authored 5 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Genetics and 1 paper in Cardiology and Cardiovascular Medicine. Recurrent topics in Ethan A. Mirsky's work include RNA and protein synthesis mechanisms (2 papers), Bacterial Genetics and Biotechnology (2 papers) and Viral Infections and Immunology Research (1 paper). Ethan A. Mirsky is often cited by papers focused on RNA and protein synthesis mechanisms (2 papers), Bacterial Genetics and Biotechnology (2 papers) and Viral Infections and Immunology Research (1 paper). Ethan A. Mirsky collaborates with scholars based in United States, Austria and South Korea. Ethan A. Mirsky's co-authors include Christopher A. Voigt, Howard M. Salis, John E. Dueber, Wendell A. Lim, Karsten Temme, Travis Bayer, Daniel V. Santi, Rena M. Hill, Sridhar Govindarajan and Danielle Tullman‐Ercek and has published in prestigious journals such as Journal of the American Chemical Society, Nature Communications and Nature Biotechnology.

In The Last Decade

Ethan A. Mirsky

5 papers receiving 1.8k citations

Hit Papers

Automated design of synthetic ribosome binding sites to c... 2009 2026 2014 2020 2009 400 800 1.2k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Automated design of synthetic ribosome binding sites to control protein expression
    2009 1.4k citations Howard M. Salis, Ethan A. Mirsky et al. Nature Biotechnology profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ethan A. Mirsky United States 5 1.7k 505 266 197 114 5 1.9k
Gabriel C. Wu United States 7 1.7k 1.0× 424 0.8× 299 1.1× 127 0.6× 118 1.0× 9 1.9k
Chunbo Lou China 19 1.5k 0.9× 342 0.7× 257 1.0× 82 0.4× 133 1.2× 51 1.8k
Ichiro Matsumura United States 20 1.3k 0.8× 336 0.7× 157 0.6× 150 0.8× 182 1.6× 41 1.6k
Ashty S. Karim United States 22 2.3k 1.4× 195 0.4× 566 2.1× 128 0.6× 279 2.4× 44 2.6k
Thomas H. Segall-Shapiro United States 13 1.1k 0.7× 352 0.7× 143 0.5× 152 0.8× 75 0.7× 17 1.2k
Alan Villalobos United States 8 957 0.6× 206 0.4× 231 0.9× 86 0.4× 163 1.4× 8 1.1k
Anne Morgat Switzerland 15 1.1k 0.6× 172 0.3× 205 0.8× 99 0.5× 118 1.0× 24 1.4k
Mark Welch United States 18 1.3k 0.8× 326 0.6× 115 0.4× 108 0.5× 154 1.4× 19 1.4k
Alec A. K. Nielsen United States 9 1.5k 0.9× 423 0.8× 270 1.0× 112 0.6× 86 0.8× 13 1.7k
Susanna Seppälä United States 19 804 0.5× 213 0.4× 209 0.8× 128 0.6× 76 0.7× 34 1.1k

Countries citing papers authored by Ethan A. Mirsky

Since Specialization
Citations

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

Fields of papers citing papers by Ethan A. Mirsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ethan A. Mirsky

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

All Works

5 of 5 papers shown
1.
Song, Mi‐Ryoung, David J. Sukovich, Luciano Ciccarelli, et al.. (2017). Control of type III protein secretion using a minimal genetic system. Nature Communications. 8(1). 14737–14737. 42 indexed citations
2.
Tullman‐Ercek, Danielle, Ethan A. Mirsky, Rena M. Hill, et al.. (2009). Engineering the Salmonella type III secretion system to export spider silk monomers. Molecular Systems Biology. 5(1). 309–309. 120 indexed citations
3.
Salis, Howard M., Ethan A. Mirsky, & Christopher A. Voigt. (2009). Automated design of synthetic ribosome binding sites to control protein expression. Nature Biotechnology. 27(10). 946–950. 1414 indexed citations breakdown →
4.
Bayer, Travis, et al.. (2009). Synthesis of Methyl Halides from Biomass Using Engineered Microbes. Journal of the American Chemical Society. 131(18). 6508–6515. 180 indexed citations
5.
Dueber, John E., Ethan A. Mirsky, & Wendell A. Lim. (2007). Engineering synthetic signaling proteins with ultrasensitive input/output control. Nature Biotechnology. 25(6). 660–662. 105 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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