Akihiro Enomoto
- Biomedical Engineering top 5%
- Molecular Biology
- Electrical and Electronic Engineering
- Cellular and Molecular Neuroscience
- Atomic and Molecular Physics, and Optics
- Co-authors
- Tatsuya SudaMichael J. MooreTadashi NakanoRyota EgashiraKayo ArimaKazuhiro OiwaAkira SakaiShu Kurokawa
- Topics
- Molecular Communication and Nanonetworks (17 papers)Advanced biosensing and bioanalysis techniques (10 papers)Molecular Junctions and Nanostructures (6 papers)
- Journals
- Physical review. B, Condensed matterIEEE Transactions on Signal ProcessingComputers in Human Behavior
- Partner nations
- JapanUnited States
In The Last Decade
Akihiro Enomoto
22 papers receiving 790 citations
Peers
Comparison fields: 5 of 62
- Biomedical Engineering 609
- Molecular Biology 438
- Electrical and Electronic Engineering 249
- Cellular and Molecular Neuroscience 80
- Atomic and Molecular Physics, and Optics 58
Countries citing papers authored by Akihiro Enomoto
This map shows the geographic impact of Akihiro Enomoto'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 Akihiro Enomoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akihiro Enomoto more than expected).
Fields of papers citing papers by Akihiro Enomoto
This network shows the impact of papers produced by Akihiro Enomoto. 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 Akihiro Enomoto. The network helps show where Akihiro Enomoto may publish in the future.
Co-authorship network of co-authors of Akihiro Enomoto
This figure shows the co-authorship network connecting the top 25 collaborators of Akihiro Enomoto. A scholar is included among the top collaborators of Akihiro Enomoto based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Akihiro Enomoto. Akihiro Enomoto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 6 | |
| 3 | 95 | |
| 4 | 69 | |
| 5 | 27 | |
| 6 | 6 | |
| 7 | A molecular communication system using protein motors | 1 |
| 8 | 8 | |
| 9 | 8 | |
| 10 | Molecular Communication: Simulation of Microtubule Topology. | 1 |
| 11 | 39 | |
| 12 | 1 | |
| 13 | 5 | |
| 14 | 92 | |
| 15 | 2 | |
| 16 | 177 | |
| 17 | Exploratory Research on Molecular Communication between Nanomachines | 147 |
| 18 | 59 | |
| 19 | 9 | |
| 20 | 40 |
About Akihiro Enomoto
Akihiro Enomoto is a scholar working on Biomedical Engineering, Electrochemistry and Molecular Biology, having authored 23 papers that have together received 817 indexed citations. Recurring topics across this work include Molecular Communication and Nanonetworks (17 papers), Advanced biosensing and bioanalysis techniques (10 papers) and Molecular Junctions and Nanostructures (6 papers). The work is most often cited by research in Biomedical Engineering (609 citations), Molecular Biology (438 citations) and Cellular and Molecular Neuroscience (80 citations). Akihiro Enomoto has collaborated with scholars based in Japan and United States. Frequent co-authors include Tatsuya Suda, Michael J. Moore, Tadashi Nakano, Ryota Egashira, Kayo Arima, Kazuhiro Oiwa, Akira Sakai, Shu Kurokawa, Hitoshi Sakakibara and Hiroaki Kojima. Their work appears in journals such as Physical review. B, Condensed matter, IEEE Transactions on Signal Processing and Computers in Human Behavior.
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.