Shigeya Suzuki
- Molecular Biology
- Electrical and Electronic Engineering
- Computer Networks and Communications top 10%
- Information Systems top 10%
- Biomedical Engineering
- Co-authors
- Jun MuraiNoriyuki KushiroMasahiro InoueHidenari TakaharaHideki KambaraJin MitsugiRodney Van MeterEiry Kobatake
- Topics
- bioluminescence and chemiluminescence research (9 papers)Blockchain Technology Applications and Security (5 papers)Pancreatic function and diabetes (5 papers)
- Partner nations
- JapanUnited StatesSwitzerland
In The Last Decade
Shigeya Suzuki
48 papers receiving 419 citations
Peers
Comparison fields: 5 of 97
- Molecular Biology 115
- Electrical and Electronic Engineering 104
- Computer Networks and Communications 92
- Information Systems 91
- Biomedical Engineering 59
Countries citing papers authored by Shigeya Suzuki
This map shows the geographic impact of Shigeya Suzuki'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 Shigeya Suzuki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shigeya Suzuki more than expected).
Fields of papers citing papers by Shigeya Suzuki
This network shows the impact of papers produced by Shigeya Suzuki. 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 Shigeya Suzuki. The network helps show where Shigeya Suzuki may publish in the future.
Co-authorship network of co-authors of Shigeya Suzuki
This figure shows the co-authorship network connecting the top 25 collaborators of Shigeya Suzuki. A scholar is included among the top collaborators of Shigeya Suzuki 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 Shigeya Suzuki. Shigeya Suzuki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | SIOTOME: An Edge-ISP Collaborative Architecture for IoT Security | 21 |
| 6 | 0 | |
| 7 | 21 | |
| 8 | 4 | |
| 9 | 6 | |
| 10 | 9 | |
| 11 | 11 | |
| 12 | 4 | |
| 13 | 15 | |
| 14 | 12 | |
| 15 | 11 | |
| 16 | 9 | |
| 17 | Development of the highly sensitive chemosensitivity testing using ATP bioluminescence assay | 1 |
| 18 | 16 | |
| 19 | Effects of Beraprost sodium on lower limb circulation in NIDDM patients-evaluated by Doppler echography and laser blood flowmetry | 1 |
| 20 | Chemical robot for enzymatic reactions and extraction processes of DNA in DNA sequence analysis. | 9 |
About Shigeya Suzuki
Shigeya Suzuki is a scholar working on Information Systems, Computer Networks and Communications and Biotechnology, having authored 52 papers that have together received 444 indexed citations. Recurring topics across this work include bioluminescence and chemiluminescence research (9 papers), Blockchain Technology Applications and Security (5 papers) and Pancreatic function and diabetes (5 papers). The work is most often cited by research in Information Systems (91 citations), Computer Networks and Communications (92 citations) and Media Technology (27 citations). Shigeya Suzuki has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Jun Murai, Noriyuki Kushiro, Masahiro Inoue, Hidenari Takahara, Hideki Kambara, Jin Mitsugi, Rodney Van Meter, Eiry Kobatake, Hidetoshi Arakawa and Masayasu Mie. Their work appears in journals such as Analytical Chemistry, Cancer Research and Analytical Biochemistry.
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.