Sachiko Miyata

2.6k total citations · 1 hit paper
8 papers, 2.0k citations indexed

About

Sachiko Miyata is a scholar working on Molecular Biology, Infectious Diseases and Molecular Medicine. According to data from OpenAlex, Sachiko Miyata has authored 8 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Infectious Diseases and 2 papers in Molecular Medicine. Recurrent topics in Sachiko Miyata's work include Bacterial biofilms and quorum sensing (4 papers), Vibrio bacteria research studies (2 papers) and Antibiotic Resistance in Bacteria (2 papers). Sachiko Miyata is often cited by papers focused on Bacterial biofilms and quorum sensing (4 papers), Vibrio bacteria research studies (2 papers) and Antibiotic Resistance in Bacteria (2 papers). Sachiko Miyata collaborates with scholars based in United States, United Kingdom and Japan. Sachiko Miyata's co-authors include Frederick M. Ausubel, Nicole T. Liberati, Jonathan M. Urbach, Daniel G. Lee, Eliana Drenkard, Gang Wu, Tao Wei, Mamoru Hyodo, Anja Brenčič and Alice N. Neely and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Genetics and Infection and Immunity.

In The Last Decade

Sachiko Miyata

8 papers receiving 2.0k citations

Hit Papers

An ordered, nonredundant library of Pseudomonas aeruginos... 2006 2026 2012 2019 2006 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sachiko Miyata United States 7 1.6k 675 621 454 264 8 2.0k
Daniel G. Lee United States 8 1.8k 1.1× 733 1.1× 620 1.0× 424 0.9× 260 1.0× 9 2.2k
Bridget R. Kulasekara United States 15 1.5k 1.0× 745 1.1× 600 1.0× 595 1.3× 297 1.1× 17 1.9k
Isabelle Vallet-Gély France 22 1.7k 1.1× 991 1.5× 510 0.8× 695 1.5× 384 1.5× 24 2.4k
Shiwani K. Arora United States 20 1.4k 0.9× 717 1.1× 361 0.6× 404 0.9× 374 1.4× 20 1.9k
Phoebe Lostroh United States 11 1.3k 0.8× 771 1.1× 359 0.6× 826 1.8× 373 1.4× 21 2.1k
Sherry L. Kuchma United States 20 1.9k 1.2× 684 1.0× 376 0.6× 538 1.2× 294 1.1× 23 2.3k
Biliana Lesic United States 14 956 0.6× 530 0.8× 449 0.7× 372 0.8× 205 0.8× 15 1.3k
Emily J. Stevens United Kingdom 10 1000 0.6× 391 0.6× 329 0.5× 256 0.6× 183 0.7× 17 1.7k
Isabelle Ventre France 9 1.2k 0.8× 691 1.0× 407 0.7× 526 1.2× 218 0.8× 10 1.5k
Ralf Paul Switzerland 11 1.6k 1.0× 908 1.3× 223 0.4× 413 0.9× 211 0.8× 16 2.0k

Countries citing papers authored by Sachiko Miyata

Since Specialization
Citations

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

Fields of papers citing papers by Sachiko Miyata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sachiko Miyata. 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 Sachiko Miyata. The network helps show where Sachiko Miyata may publish in the future.

Co-authorship network of co-authors of Sachiko Miyata

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

All Works

8 of 8 papers shown
1.
Miyata, Sachiko, Eliseo Papa, Eric Spooner, et al.. (2011). Characterisation of the Trichinella spiralis Deubiquitinating Enzyme, TsUCH37, an Evolutionarily Conserved Proteasome Interaction Partner. PLoS neglected tropical diseases. 5(10). e1340–e1340. 14 indexed citations
2.
Miyata, Sachiko, Jakob Begun, Emily R. Troemel, & Frederick M. Ausubel. (2008). DAF-16-Dependent Suppression of Immunity During Reproduction inCaenorhabditis elegans. Genetics. 178(2). 903–918. 86 indexed citations
3.
Lee, Vincent T., Anja Brenčič, Nicole T. Liberati, et al.. (2006). Analysis of Pseudomonas aeruginosa diguanylate cyclases and phosphodiesterases reveals a role for bis-(3′-5′)-cyclic-GMP in virulence. Proceedings of the National Academy of Sciences. 103(8). 2839–2844. 428 indexed citations
4.
Lee, Daniel G., Jonathan M. Urbach, Gang Wu, et al.. (2006). Genomic analysis reveals that Pseudomonas aeruginosa virulence is combinatorial. Genome biology. 7(10). R90–R90. 455 indexed citations
5.
Liberati, Nicole T., Jonathan M. Urbach, Sachiko Miyata, et al.. (2006). An ordered, nonredundant library of Pseudomonas aeruginosa strain PA14 transposon insertion mutants. Proceedings of the National Academy of Sciences. 103(8). 2833–2838. 773 indexed citations breakdown →
6.
Lee, Vincent T., Anja Brenčič, Nicole T. Liberati, et al.. (2006). Correction for Kulasakara et al., Analysis of Pseudomonas aeruginosa diguanylate cyclases and phosphodiesterases reveals a role for bis-(3′-5′)-cyclic-GMP in virulence. Proceedings of the National Academy of Sciences. 103(16). 6411–6411. 71 indexed citations
7.
Miyata, Sachiko, Monika Casey, Dara W. Frank, Frederick M. Ausubel, & Eliana Drenkard. (2003). Use of the Galleria mellonella Caterpillar as a Model Host To Study the Role of the Type III Secretion System in Pseudomonas aeruginosa Pathogenesis. Infection and Immunity. 71(5). 2404–2413. 206 indexed citations
8.
Takeshita, Michinori, et al.. (1964). STUDIES ON BACTERIAL MONOAMINE OXIDASE.. PubMed. 17. 90–100. 3 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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