Yasuhiko Irie
- Molecular Biology top 5%
- Genetics top 5%
- Endocrinology top 0.5%
- Molecular Medicine top 1%
- Ecology top 5%
- Co-authors
- Matthew R. ParsekDaniel J. WozniakMing H. YukBradley R. BorleeP. Lynne HowellVernita GordonRodolfo UrbanoJohn C. Whitney
- Topics
- Bacterial biofilms and quorum sensing (25 papers)Bacterial Genetics and Biotechnology (15 papers)Metal-Organic Frameworks: Synthesis and Applications (7 papers)
- Journals
- Proceedings of the National Academy of SciencesPLoS ONEApplied and Environmental Microbiology
- Partner nations
- United StatesJapanUnited Kingdom
In The Last Decade
Yasuhiko Irie
37 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Molecular Biology 2.2k
- Genetics 662
- Endocrinology 614
- Molecular Medicine 460
- Ecology 444
Countries citing papers authored by Yasuhiko Irie
This map shows the geographic impact of Yasuhiko Irie'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 Yasuhiko Irie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yasuhiko Irie more than expected).
Fields of papers citing papers by Yasuhiko Irie
This network shows the impact of papers produced by Yasuhiko Irie. 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 Yasuhiko Irie. The network helps show where Yasuhiko Irie may publish in the future.
Co-authorship network of co-authors of Yasuhiko Irie
This figure shows the co-authorship network connecting the top 25 collaborators of Yasuhiko Irie. A scholar is included among the top collaborators of Yasuhiko Irie 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 Yasuhiko Irie. Yasuhiko Irie is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 185 | |
| 3 | 48 | |
| 4 | 14 | |
| 5 | 56 | |
| 6 | 3 | |
| 7 | 73 | |
| 8 | 254 | |
| 9 | Shaping the Growth Behaviour of Bacterial Aggregates in Biofilms | 3 |
| 10 | Precision-engineering the Pseudomonas aeruginosa genome with two-step allelic exchangebreakdown → | 367 |
| 11 | 38 | |
| 12 | 21 | |
| 13 | 128 | |
| 14 | 233 | |
| 15 | The Pel and Psl polysaccharides provide Pseudomonas aeruginosa structural redundancy within the biofilm matrixbreakdown → | 436 |
| 16 | 212 | |
| 17 | 161 | |
| 18 | 115 | |
| 19 | 96 | |
| 20 | 16 |
About Yasuhiko Irie
Yasuhiko Irie is a scholar working on Endocrinology, Microbiology and Periodontics, having authored 37 papers that have together received 3.1k indexed citations. Recurring topics across this work include Bacterial biofilms and quorum sensing (25 papers), Bacterial Genetics and Biotechnology (15 papers) and Metal-Organic Frameworks: Synthesis and Applications (7 papers). The work is most often cited by research in Endocrinology (614 citations), Molecular Medicine (460 citations) and Periodontics (318 citations). Yasuhiko Irie has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Matthew R. Parsek, Daniel J. Wozniak, Ming H. Yuk, Bradley R. Borlee, P. Lynne Howell, Vernita Gordon, Rodolfo Urbano, John C. Whitney, Kelly M. Colvin and Tim Tolker‐Nielsen. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Applied and Environmental Microbiology.
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.