Yuya Ito
Impact in
- Infectious Diseases top 10%
- Antifungal resistance and susceptibility
- Ophthalmology top 10%
- Retinal Diseases and Treatments
Papers in
- Epidemiology 17
- Fungal Infections and Studies 11
- Mycobacterium research and diagnosis 4
- Pneumonia and Respiratory Infections 2
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- Antifungal resistance and susceptibility 15
- Co-authors
- Takahiro Takazono (22 shared papers)Hiroshi Mukae (22 shared papers)Koichi Izumikawa (22 shared papers)Katsunori Yanagihara (21 shared papers)Yūsuke Nanba (1 shared paper)Shori Takahashi (1 shared paper)Osamu Nemoto (1 shared paper)T. Nakamura (1 shared paper)
- Journals
- Journal of Fungi (2 papers)Scientific Reports (2 papers)Mycoses (2 papers)Medical Mycology (1 paper)Journal of Clinical Microbiology (1 paper)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Yuya Ito
40 papers receiving 440 citations
Peers
Comparison fields: 5 of 61
- Infectious Diseases 135
- Ophthalmology 34
- Epidemiology 115
- Pediatrics, Perinatology and Child Health 41
- Nephrology 15
Countries citing papers authored by Yuya Ito
This map shows the geographic impact of Yuya Ito'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 Yuya Ito with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuya Ito more than expected).
Fields of papers citing papers by Yuya Ito
This network shows the impact of papers produced by Yuya Ito. 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 Yuya Ito. The network helps show where Yuya Ito may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuya Ito, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 62 | |
| 2 | 2009 | 59 | |
| 3 | 2020 | 49 | |
| 4 | 2011 | 46 | |
| 5 | 2014 | 25 | |
| 6 | 2014 | 25 | |
| 7 | 2019 | 23 | |
| 8 | 2010 | 20 | |
| 9 | 2023 | 16 | |
| 10 | 2023 | 13 | |
| 11 | 2020 | 11 | |
| 12 | 2022 | 9 | |
| 13 | 2021 | 9 | |
| 14 | 2023 | 8 | |
| 15 | 2021 | 6 | |
| 16 | 2015 | 6 | |
| 17 | 2021 | 6 | |
| 18 | 2019 | 6 | |
| 19 | 2020 | 6 | |
| 20 | 2024 | 6 |
About Yuya Ito
Yuya Ito is a scholar working on Epidemiology, Infectious Diseases, Pulmonary and Respiratory Medicine, Surgery and Computer Networks and Communications, having authored 47 papers that have together received 454 indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (15 papers), Fungal Infections and Studies (11 papers), Mycobacterium research and diagnosis (4 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (3 papers), Underwater Vehicles and Communication Systems (2 papers), Pneumonia and Respiratory Infections (2 papers), Neonatal and fetal brain pathology (2 papers) and Energy Efficient Wireless Sensor Networks (2 papers). The work is most often cited by research in Infectious Diseases (135 citations), Ophthalmology (34 citations), Epidemiology (115 citations), Pediatrics, Perinatology and Child Health (41 citations) and Nephrology (15 citations). Yuya Ito has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Takahiro Takazono, Hiroshi Mukae, Koichi Izumikawa, Katsunori Yanagihara, Yūsuke Nanba, Shori Takahashi, Osamu Nemoto, T. Nakamura, Satsuki Kakiuchi and Keiko Tsukamoto. Their work appears in journals such as Journal of Fungi, Scientific Reports, Mycoses, Medical Mycology and Journal of Clinical 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.