Tadashi Nakano
- Biomedical Engineering top 0.5%
- Molecular Communication and Nanonetworks 116
- Wireless Body Area Networks 43
- Molecular Biology top 5%
- Advanced biosensing and bioanalysis techniques 56
- Gene Regulatory Network Analysis 49
- DNA and Biological Computing 14
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- Photoreceptor and optogenetics research 12
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- Peer-to-Peer Network Technologies 12
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- Modular Robots and Swarm Intelligence 8
- Co-authors
- Michael J. MooreTatsuya SudaTokuko HaraguchiYutaka OkaieAthanasios V. VasilakosAndrew W. EckfordJianwei ShuaiAkihiro Enomoto
- Journals
- IEEE Transactions on NanoBioscience (8 papers)Japanese Journal of Applied Physics (7 papers)IEEE Communications Letters (5 papers)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Tadashi Nakano
167 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Biomedical Engineering 3.0k
- Molecular Biology 2.1k
- Cellular and Molecular Neuroscience 362
- Electrical and Electronic Engineering 1.1k
- Electronic, Optical and Magnetic Materials 314
Countries citing papers authored by Tadashi Nakano
This map shows the geographic impact of Tadashi Nakano'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 Tadashi Nakano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tadashi Nakano more than expected).
Fields of papers citing papers by Tadashi Nakano
This network shows the impact of papers produced by Tadashi Nakano. 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 Tadashi Nakano. The network helps show where Tadashi Nakano may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tadashi Nakano, 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 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 2 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 1 | |
| 8 | 2022 | 3 | |
| 9 | 2021 | 11 | |
| 10 | 2020 | 5 | |
| 11 | 2019 | 6 | |
| 12 | 2019 | 2 | |
| 13 | 2019 | 54 | |
| 14 | 2017 | 24 | |
| 15 | 2015 | 6 | |
| 16 | 2014 | 183 | |
| 17 | Network formation games in non-cooperative service overlay networks. | 2012 | 1 |
| 18 | Simulating the network dynamics in market-oriented overlay networks | 2010 | 2 |
| 19 | 2010 | 85 | |
| 20 | 2009 | 12 |
About Tadashi Nakano
Tadashi Nakano is a scholar working on Biomedical Engineering, Chemical Health and Safety and Molecular Biology, having authored 185 papers that have together received 4.1k indexed citations. Recurring topics across this work include Molecular Communication and Nanonetworks (116 papers), Advanced biosensing and bioanalysis techniques (56 papers), Gene Regulatory Network Analysis (49 papers), Wireless Body Area Networks (43 papers), DNA and Biological Computing (14 papers), Photoreceptor and optogenetics research (12 papers), Peer-to-Peer Network Technologies (12 papers) and Modular Robots and Swarm Intelligence (8 papers). The work is most often cited by research in Biomedical Engineering (3.0k citations), Molecular Biology (2.1k citations) and Cellular and Molecular Neuroscience (362 citations). Tadashi Nakano has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Michael J. Moore, Tatsuya Suda, Tokuko Haraguchi, Yutaka Okaie, Athanasios V. Vasilakos, Andrew W. Eckford, Jianwei Shuai, Akihiro Enomoto, Tomohiro Ohta and Jian‐Qin Liu. Their work appears in journals such as IEEE Transactions on NanoBioscience, Japanese Journal of Applied Physics, IEEE Communications Letters, Nano Communication Networks and Journal of The Electrochemical Society.
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.