Hiroaki Suzuki
- Molecular Biology top 10%
- Neurology top 5%
- Sensory Systems top 1%
- Biomedical Engineering top 10%
- Neurology top 5%
- Co-authors
- Masaaki MatsuokaSadakazu AisoShin‐ichi UsamiKohsuke KanekuraSatoko AbeKoji TsukamotoHideaki YukawaShogo Yamamoto
- Topics
- Amyotrophic Lateral Sclerosis Research (15 papers)Neurogenetic and Muscular Disorders Research (8 papers)Cancer-related Molecular Pathways (5 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Hiroaki Suzuki
57 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 124
- Molecular Biology 1.1k
- Neurology 414
- Sensory Systems 302
- Biomedical Engineering 278
- Neurology 276
Countries citing papers authored by Hiroaki Suzuki
This map shows the geographic impact of Hiroaki 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 Hiroaki Suzuki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiroaki Suzuki more than expected).
Fields of papers citing papers by Hiroaki Suzuki
This network shows the impact of papers produced by Hiroaki 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 Hiroaki Suzuki. The network helps show where Hiroaki Suzuki may publish in the future.
Co-authorship network of co-authors of Hiroaki Suzuki
This figure shows the co-authorship network connecting the top 25 collaborators of Hiroaki Suzuki. A scholar is included among the top collaborators of Hiroaki 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 Hiroaki Suzuki. Hiroaki 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 | 2 | |
| 3 | 0 | |
| 4 | 9 | |
| 5 | 39 | |
| 6 | 12 | |
| 7 | Effects of the beverage containing Lactococcus lactis subsp. Lactis JCM5805 on anti-viral immune responses and maintenance of physical conditions - A randomized, double-blind, placebo-controlled, parallel-group trial | 1 |
| 8 | 46 | |
| 9 | 11 | |
| 10 | 27 | |
| 11 | 113 | |
| 12 | 46 | |
| 13 | Transient Cost Analysis of Non-Markovian Software Systems with Rejuvenation | 1 |
| 14 | Transient Analysis of Software Availability Models with Rejuvenation | 2 |
| 15 | Comparing Software Rejuvenation Policies under Different Dependability Measures | 11 |
| 16 | 14 | |
| 17 | 14 | |
| 18 | 8 | |
| 19 | Cost-Effective Analysis of Software Systems with Periodic Rejuvenation | 4 |
| 20 | DVD-Audio Format | 0 |
About Hiroaki Suzuki
Hiroaki Suzuki is a scholar working on Software, Neurology and Sensory Systems, having authored 61 papers that have together received 2.0k indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (15 papers), Neurogenetic and Muscular Disorders Research (8 papers) and Cancer-related Molecular Pathways (5 papers). The work is most often cited by research in Sensory Systems (302 citations), Neurology (276 citations) and Otorhinolaryngology (127 citations). Hiroaki Suzuki has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Masaaki Matsuoka, Sadakazu Aiso, Shin‐ichi Usami, Kohsuke Kanekura, Satoko Abe, Koji Tsukamoto, Hideaki Yukawa, Shogo Yamamoto, Hiroshi Toda and Masako Suda. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.