Toshiko Kobayashi
- Molecular Biology top 10%
- Cell Biology top 10%
- Oncology
- Cancer Research
- Physiology
- Co-authors
- Katsuyuki TamaiShingo TojiKeiji TanimotoShinya MatsuuraJunya KobayashiKenshi KomatsuAsako NakamuraHiroshi Tauchi
- Topics
- Alzheimer's disease research and treatments (5 papers)DNA Repair Mechanisms (3 papers)Microtubule and mitosis dynamics (3 papers)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Toshiko Kobayashi
18 papers receiving 917 citations
Peers
Comparison fields: 5 of 96
- Molecular Biology 725
- Cell Biology 209
- Oncology 191
- Cancer Research 134
- Physiology 100
Countries citing papers authored by Toshiko Kobayashi
This map shows the geographic impact of Toshiko Kobayashi'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 Toshiko Kobayashi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Toshiko Kobayashi more than expected).
Fields of papers citing papers by Toshiko Kobayashi
This network shows the impact of papers produced by Toshiko Kobayashi. 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 Toshiko Kobayashi. The network helps show where Toshiko Kobayashi may publish in the future.
Co-authorship network of co-authors of Toshiko Kobayashi
This figure shows the co-authorship network connecting the top 25 collaborators of Toshiko Kobayashi. A scholar is included among the top collaborators of Toshiko Kobayashi 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 Toshiko Kobayashi. Toshiko Kobayashi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 151 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 113 | |
| 6 | Toji, S. et al. The centrosomal protein Lats2 is a phosphorylation target of Aurora-A kinase. Genes Cells 9, 383-397 | 8 |
| 7 | 240 | |
| 8 | 97 | |
| 9 | Over-expression of human DNA lambda in E. coli and characterization of the recombinant enzyme | 1 |
| 10 | 100 | |
| 11 | 59 | |
| 12 | 19 | |
| 13 | 40 | |
| 14 | 7 | |
| 15 | 19 | |
| 16 | 46 | |
| 17 | A new clinical scale for rating of mental states and activities of daily living of the elderly(NM scale and N-ADL). | 21 |
| 18 | Clinical Studies on Positional Nystagmus | 1 |
| 19 | 7 |
About Toshiko Kobayashi
Toshiko Kobayashi is a scholar working on Neurology, Psychiatry and Mental health and Physiology, having authored 19 papers that have together received 941 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (5 papers), DNA Repair Mechanisms (3 papers) and Microtubule and mitosis dynamics (3 papers). The work is most often cited by research in Cell Biology (209 citations), Molecular Biology (725 citations) and Cancer Research (134 citations). Toshiko Kobayashi has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Katsuyuki Tamai, Shingo Toji, Keiji Tanimoto, Shinya Matsuura, Junya Kobayashi, Kenshi Komatsu, Asako Nakamura, Hiroshi Tauchi, Ken‐ichi Morishima and Shuichi Sakamoto. Their work appears in journals such as Journal of Biological Chemistry, Oncogene and Current Biology.
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.