Ai Miura
- Aging top 5%
- Ecology top 5%
- Physiological and biochemical adaptations 25
- Aquatic Science top 5%
- Aquaculture Nutrition and Growth 7
- Atmospheric Science top 10%
- nanoparticles nucleation surface interactions 5
- Animal Science and Zoology top 10%
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- Neurobiology and Insect Physiology Research 9
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- Microbial Metabolic Engineering and Bioproduction 6
- Enzyme Catalysis and Immobilization 5
- Protein Structure and Dynamics 3
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- Insect and Arachnid Ecology and Behavior 4
- Co-authors
- Sakae TsudaYoshiyuki NishimiyaHidemasa KondoYuichi HanadaKoichi TamanoTamotsu HoshinoKazunori MiuraTatsuya Arai
- Cited by
- AgingEcologyAquatic Science
- Journals
- FEBS Journal (5 papers)Scientific Reports (2 papers)Applied Microbiology and Biotechnology (2 papers)
- Partner nations
- JapanCanadaUnited States
In The Last Decade
Ai Miura
42 papers receiving 867 citations
Peers
Comparison fields: 5 of 99
- Aging 63
- Ecology 549
- Aquatic Science 91
- Atmospheric Science 218
- Animal Science and Zoology 61
Countries citing papers authored by Ai Miura
This map shows the geographic impact of Ai Miura'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 Ai Miura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ai Miura more than expected).
Fields of papers citing papers by Ai Miura
This network shows the impact of papers produced by Ai Miura. 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 Ai Miura. The network helps show where Ai Miura may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ai Miura, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 11 | |
| 2 | 2021 | 11 | |
| 3 | 2020 | 5 | |
| 4 | 2020 | 3 | |
| 5 | 2019 | 49 | |
| 6 | 2018 | 11 | |
| 7 | 2017 | 17 | |
| 8 | 2016 | 4 | |
| 9 | 2015 | 16 | |
| 10 | 2014 | 12 | |
| 11 | 2013 | 11 | |
| 12 | 2013 | 36 | |
| 13 | 2009 | 24 | |
| 14 | 2008 | 7 | |
| 15 | 1. Hydroxyl groups of threonines contribute to the activity of Ca^ -depdendent type II antifreeze protein | 2008 | 2 |
| 16 | 2008 | 57 | |
| 17 | 2007 | 77 | |
| 18 | 2006 | 1 | |
| 19 | 2006 | 6 | |
| 20 | Comparative studies on the toxicity of metaldehyde, various arsenates and arsenites on Oncomelania nosophora, the intermediate host of Schistosoma japonicum. | 1959 | 1 |
About Ai Miura
Ai Miura is a scholar working on Aging, Ecology and Aquatic Science, having authored 42 papers that have together received 896 indexed citations. Recurring topics across this work include Physiological and biochemical adaptations (25 papers), Neurobiology and Insect Physiology Research (9 papers), Aquaculture Nutrition and Growth (7 papers), Microbial Metabolic Engineering and Bioproduction (6 papers), nanoparticles nucleation surface interactions (5 papers), Enzyme Catalysis and Immobilization (5 papers), Insect and Arachnid Ecology and Behavior (4 papers) and Protein Structure and Dynamics (3 papers). The work is most often cited by research in Aging (63 citations), Ecology (549 citations) and Aquatic Science (91 citations). Ai Miura has collaborated with scholars based in Japan, Canada and United States. Frequent co-authors include Sakae Tsuda, Yoshiyuki Nishimiya, Hidemasa Kondo, Yuichi Hanada, Koichi Tamano, Tamotsu Hoshino, Kazunori Miura, Tatsuya Arai, Satoru Ohgiya and Mamoru Suzuki. Their work appears in journals such as FEBS Journal, Scientific Reports, Applied Microbiology and Biotechnology, Biochemistry and International Journal of Molecular Sciences.
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.