Akira Kudo
- Automotive Engineering top 5%
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- Electrocatalysts for Energy Conversion 5
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- Supercapacitor Materials and Fabrication 9
- Neurology top 10%
- Intracerebral and Subarachnoid Hemorrhage Research 5
- Endocrinology top 10%
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- Graphene research and applications 7
- Carbon Nanotubes in Composites 5
- Nanoporous metals and alloys 5
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- Plant Pathogens and Fungal Diseases 7
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- Plant Virus Research Studies 5
- Co-authors
- Andrey VyatskikhJulia R. GreerStéphane DelalandeXuan ZhangCarlos M. PortelaMingwei ChenJiuhui HanYoshihiro Ohtsu
- Cited by
- Automotive EngineeringRenewable Energy, Sustainability and the EnvironmentElectronic, Optical and Magnetic Materials
- Journals
- Journal of the American Chemical Society (1 paper)Angewandte Chemie International Edition (1 paper)Nature Communications (2 papers)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Akira Kudo
57 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Automotive Engineering 246
- Renewable Energy, Sustainability and the Environment 253
- Electronic, Optical and Magnetic Materials 250
- Neurology 192
- Endocrinology 59
Countries citing papers authored by Akira Kudo
This map shows the geographic impact of Akira Kudo'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 Akira Kudo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akira Kudo more than expected).
Fields of papers citing papers by Akira Kudo
This network shows the impact of papers produced by Akira Kudo. 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 Akira Kudo. The network helps show where Akira Kudo may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Akira Kudo, 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 | 2024 | 10 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 2 | |
| 4 | 2022 | 41 | |
| 5 | 2022 | 61 | |
| 6 | 2022 | 87 | |
| 7 | 2022 | 5 | |
| 8 | 2020 | 16 | |
| 9 | 2019 | 109 | |
| 10 | 2019 | 34 | |
| 11 | 2019 | 4 | |
| 12 | 2015 | 9 | |
| 13 | 2010 | 0 | |
| 14 | 2010 | 94 | |
| 15 | 2009 | 0 | |
| 16 | 2000 | 17 | |
| 17 | 2000 | 13 | |
| 18 | 1999 | 36 | |
| 19 | Difference of Ceratocystis fimbriata isolates from Fig and Sweet Potato | 1993 | 1 |
| 20 | 1986 | 10 |
About Akira Kudo
Akira Kudo is a scholar working on Endocrinology, Neurology and Cell Biology, having authored 63 papers that have together received 1.8k indexed citations. Recurring topics across this work include Supercapacitor Materials and Fabrication (9 papers), Graphene research and applications (7 papers), Plant Pathogens and Fungal Diseases (7 papers), Electrocatalysts for Energy Conversion (5 papers), Carbon Nanotubes in Composites (5 papers), Intracerebral and Subarachnoid Hemorrhage Research (5 papers), Plant Virus Research Studies (5 papers) and Nanoporous metals and alloys (5 papers). The work is most often cited by research in Automotive Engineering (246 citations), Renewable Energy, Sustainability and the Environment (253 citations) and Electronic, Optical and Magnetic Materials (250 citations). Akira Kudo has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Andrey Vyatskikh, Julia R. Greer, Stéphane Delalande, Xuan Zhang, Carlos M. Portela, Mingwei Chen, Jiuhui Han, Yoshihiro Ohtsu, Kiyoshi Kuroda and Satoko Kanematsu. Their work appears in journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Nature Communications.
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.