Most cited papers from Muse Technologies (United States)
What are the most cited papers from Muse Technologies (United States)?
The most cited paper from Muse Technologies (United States) is "Genome-wide mapping of mutations at single-nucleotide resolution for protein, metabolic and genome engineering" (Andrew D. Garst, Marcelo C. Bassalo, Gur Pines et al., 2016), with 396 citations. Next come "An Introduction to Arts Evaluation" (1) and "Academic Impact at the Federal Trade Commission" (1).
Showing 6 of 6 papers. Every paper is listed.
| # | Paper | ||
|---|---|---|---|
| 1 | Genome-wide mapping of mutations at single-nucleotide resolution for protein, metabolic and genome engineering Andrew D. Garst, Marcelo C. Bassalo, Gur Pines et al. · Nature Biotechnology | 12 Dec 2016 | 396 |
| 2 | An Introduction to Arts Evaluation Rekha S. Rajan, Ivonne Chand O’Neal | 25 Oct 2017 | 1 |
| 3 | Academic Impact at the Federal Trade Commission Michael Brennan · IEEE Security & Privacy | Nov 2012 | 1 |
| 4 | TEACHER EDUCATION IN THE AGE OF ARTIFICIAL INTELLIGENCE: ACTIVE METHODOLOGIES AND EMERGING TECHNOLOGIES AS STRATEGIES FOR PEDAGOGICAL INNOVATION Eliane das Graças de Oliveira Abreu, Ítalo Domingos Costa, Felipe Antonio Xavier Andrade et al. | 2 Sep 2026 | 0 |
| 5 | EDUCATION 4.0: TECHNOLOGICAL REVOLUTION OR DISGUISED THREAT? João Fernando Costa Júnior, Waldir Giese, Marcelo Queiroz Schimidt et al. · Seven Editora eBooks | 19 Dec 2025 | 0 |
| 6 | Arts Policy and the Creative Economy Ivonne Chand O’Neal, Brian Kisida, Laura Dimmit Smyth et al. | 25 Oct 2017 | 0 |
Citations are OpenAlex's own counts, from its 2026-09-23 snapshot, so the ranking can differ from Google Scholar or Web of Science. A paper is listed for an institution when any of its authors gave it as an affiliation; retracted papers and papers whose citation count cannot be traced to citing works are left out, and a preprint and the article it became are shown once. Release dates are OpenAlex's: where a source gave only a month or a year, that is what is shown. How the lists are chosen.