Ai Suzuki
- Neurology top 10%
- Molecular Biology
- Cellular and Molecular Neuroscience
- Materials Chemistry
- Health, Toxicology and Mutagenesis
- Co-authors
- Tomoyoshi KondoHideto MiwaTameko KihiraKatsunori NishiYoshitaka MitsudaKenji NoseMasao KamikoCarlos A. Del Carpio
- Topics
- Thyroid Disorders and Treatments (10 papers)Topological Materials and Phenomena (8 papers)Parkinson's Disease Mechanisms and Treatments (7 papers)
- Partner nations
- JapanTaiwanUnited States
In The Last Decade
Ai Suzuki
51 papers receiving 413 citations
Peers
Comparison fields: 5 of 93
- Neurology 114
- Molecular Biology 96
- Cellular and Molecular Neuroscience 62
- Materials Chemistry 58
- Health, Toxicology and Mutagenesis 40
Countries citing papers authored by Ai Suzuki
This map shows the geographic impact of Ai 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 Ai Suzuki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ai Suzuki more than expected).
Fields of papers citing papers by Ai Suzuki
This network shows the impact of papers produced by Ai 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 Ai Suzuki. The network helps show where Ai Suzuki may publish in the future.
Co-authorship network of co-authors of Ai Suzuki
This figure shows the co-authorship network connecting the top 25 collaborators of Ai Suzuki. A scholar is included among the top collaborators of Ai 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 Ai Suzuki. Ai 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 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 9 | |
| 5 | 6 | |
| 6 | 11 | |
| 7 | 4 | |
| 8 | 2 | |
| 9 | 3 | |
| 10 | 1 | |
| 11 | 2 | |
| 12 | 11 | |
| 13 | 14 | |
| 14 | 3 | |
| 15 | 8 | |
| 16 | 17 | |
| 17 | 55 | |
| 18 | 57 | |
| 19 | MONITORING PERSONAL TRAVEL BEHAVIOUR USING A CELLULAR PHONE SYSTEM WITH POWER ANTENNAS AND CSID ANALYSIS | 1 |
| 20 | MONITORING INDIVIDUAL TRAVEL BEHAVIOUR USING PEAMON: A CELLULAR PHONE BASED LOCATION POSITIONING INSTRUMENT COMBINED WITH ACCELERATION SENSOR | 3 |
About Ai Suzuki
Ai Suzuki is a scholar working on Horticulture, Condensed Matter Physics and Endocrinology, Diabetes and Metabolism, having authored 52 papers that have together received 422 indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (10 papers), Topological Materials and Phenomena (8 papers) and Parkinson's Disease Mechanisms and Treatments (7 papers). The work is most often cited by research in Neurology (114 citations), Cellular and Molecular Neuroscience (62 citations) and Neurology (26 citations). Ai Suzuki has collaborated with scholars based in Japan, Taiwan and United States. Frequent co-authors include Tomoyoshi Kondo, Hideto Miwa, Tameko Kihira, Katsunori Nishi, Yoshitaka Mitsuda, Kenji Nose, Masao Kamiko, Carlos A. Del Carpio, Akira Miyamoto and Ken‐ichi Yasumoto. Their work appears in journals such as Applied Physics Letters, Brain Research and Biochemical and Biophysical Research 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.