Kayo Tsuzuki
- Neurology top 5%
- Physiology top 10%
- Molecular Biology
- Clinical Biochemistry top 2%
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- Nobuhiro FujiiRyo FukatsuNoriko YokosawaKeiji OgumaTaku YoshidaYorihide HayashiNobuyuki SasakiNaoji Amano
- Topics
- Botulinum Toxin and Related Neurological Disorders (12 papers)Alzheimer's disease research and treatments (10 papers)Biochemical and Structural Characterization (5 papers)
- Cited by
- Clinical BiochemistryNeurology
In The Last Decade
Kayo Tsuzuki
30 papers receiving 889 citations
Peers
Comparison fields: 5 of 83
- Neurology 380
- Physiology 327
- Molecular Biology 318
- Clinical Biochemistry 181
- Cellular and Molecular Neuroscience 152
Countries citing papers authored by Kayo Tsuzuki
This map shows the geographic impact of Kayo Tsuzuki'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 Kayo Tsuzuki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kayo Tsuzuki more than expected).
Fields of papers citing papers by Kayo Tsuzuki
This network shows the impact of papers produced by Kayo Tsuzuki. 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 Kayo Tsuzuki. The network helps show where Kayo Tsuzuki may publish in the future.
Co-authorship network of co-authors of Kayo Tsuzuki
This figure shows the co-authorship network connecting the top 25 collaborators of Kayo Tsuzuki. A scholar is included among the top collaborators of Kayo Tsuzuki 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 Kayo Tsuzuki. Kayo Tsuzuki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 53 | |
| 2 | 340 | |
| 3 | 3 | |
| 4 | 4 | |
| 5 | 17 | |
| 6 | 17 | |
| 7 | 25 | |
| 8 | [Biological characteristics of amyloid precursor protein and Alzheimer's disease]. | 3 |
| 9 | 11 | |
| 10 | 14 | |
| 11 | 58 | |
| 12 | 19 | |
| 13 | 14 | |
| 14 | 37 | |
| 15 | 19 | |
| 16 | 5 | |
| 17 | 5 | |
| 18 | 52 | |
| 19 | The effect of bispecific monoclonal antibody recognizing both hepatoma-specific membrane glycoprotein and anthracycline drugs on the metastatic growth of hepatoma AH66. | 5 |
| 20 | 36 |
About Kayo Tsuzuki
Kayo Tsuzuki is a scholar working on Neurology, Endocrinology and Physiology, having authored 30 papers that have together received 914 indexed citations. Recurring topics across this work include Botulinum Toxin and Related Neurological Disorders (12 papers), Alzheimer's disease research and treatments (10 papers) and Biochemical and Structural Characterization (5 papers). The work is most often cited by research in Clinical Biochemistry (181 citations), Neurology (380 citations) and Neurology (117 citations). Kayo Tsuzuki has collaborated with scholars based in Japan, Czechia and Canada. Frequent co-authors include Nobuhiro Fujii, Ryo Fukatsu, Noriko Yokosawa, Keiji Oguma, Taku Yoshida, Yorihide Hayashi, Nobuyuki Sasaki, Naoji Amano, Richard Yanagihara and Ralph M. Garruto. Their work appears in journals such as Applied and Environmental Microbiology, 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.