Naoya Itoh
- Modeling and Simulation top 2%
- Infectious Diseases top 5%
- General Dentistry top 10%
- Neurology top 10%
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- Radio Frequency Integrated Circuit Design 13
- Advancements in Semiconductor Devices and Circuit Design 8
- Semiconductor materials and devices 8
- Advancements in PLL and VCO Technologies 6
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- Antibiotic Resistance in Bacteria 9
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- Bacterial Identification and Susceptibility Testing 7
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- Neutropenia and Cancer Infections 5
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- Streptococcal Infections and Treatments 4
Naoya Itoh
70 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 164
- Modeling and Simulation 163
- Infectious Diseases 444
- Applied Microbiology and Biotechnology 32
- General Dentistry 20
- Neurology 142
Countries citing papers authored by Naoya Itoh
This map shows the geographic impact of Naoya Itoh'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 Naoya Itoh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naoya Itoh more than expected).
Fields of papers citing papers by Naoya Itoh
This network shows the impact of papers produced by Naoya Itoh. 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 Naoya Itoh. The network helps show where Naoya Itoh may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Naoya Itoh, 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 | 2025 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 2 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 1 | |
| 9 | 2022 | 1 | |
| 10 | 2022 | 7 | |
| 11 | 2022 | 2 | |
| 12 | 2022 | 0 | |
| 13 | 2021 | 4 | |
| 14 | Coronavirus disease 2019 (COVID-19): A literature review | 2020 | 0 |
| 15 | 2018 | 10 | |
| 16 | Integrated LC-tuned VCO in BiCMOS process | 2001 | 3 |
| 17 | 1200 MHz fully integrated VCO with "Turbo-charger" technique | 2001 | 2 |
| 18 | Development of Metal - Resin Bonded Wheel Using Fine Metal Powder and Its Grinding Performance | 1999 | 2 |
| 19 | Low supply voltage fully integrated CMOS VCO with three terminals spiral inductor | 1999 | 19 |
| 20 | Sub-20 ps ECL Bipolar Technology with High Breakdown Voltage | 1993 | 2 |
About Naoya Itoh
Naoya Itoh is a scholar working on Microbiology, Applied Microbiology and Biotechnology and Molecular Medicine, having authored 83 papers that have together received 1.5k indexed citations. Recurring topics across this work include Radio Frequency Integrated Circuit Design (13 papers), Antibiotic Resistance in Bacteria (9 papers), Advancements in Semiconductor Devices and Circuit Design (8 papers), Semiconductor materials and devices (8 papers), Bacterial Identification and Susceptibility Testing (7 papers), Advancements in PLL and VCO Technologies (6 papers), Neutropenia and Cancer Infections (5 papers) and Streptococcal Infections and Treatments (4 papers). The work is most often cited by research in Modeling and Simulation (163 citations), Infectious Diseases (444 citations) and Applied Microbiology and Biotechnology (32 citations). Naoya Itoh has collaborated with scholars based in Japan, United States and Belgium. Frequent co-authors include Abram L. Wagner, Harapan Harapan, Mudatsir Mudatsir, Zinatul Hayati, Synat Keam, Amanda Yufika, Wira Winardi, Dewi Megawati, Haypheng Te and Michiel Steyaert. Their work appears in journals such as BMC Infectious Diseases, PLoS ONE, IEEE Journal of Solid-State Circuits, Journal of Infection and Chemotherapy and Scientific Reports.
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.