Kuniyoshi Kaseda
- Cell Biology top 5%
- Molecular Biology
- Clinical Biochemistry top 5%
- Endocrinology, Diabetes and Metabolism
- Cardiology and Cardiovascular Medicine
- Co-authors
- Keiko HiroseHideo HiguchiRobert A. CrossTakanori MatsuiSho‐ichi YamagishiNobutaka NakamuraAndrew D. McAinshEtsuko Muto
- Topics
- Microtubule and mitosis dynamics (8 papers)Protist diversity and phylogeny (3 papers)Micro and Nano Robotics (3 papers)
- Journals
- Proceedings of the National Academy of SciencesThe Journal of Cell BiologyNature Cell Biology
- Partner nations
- JapanUnited KingdomUnited States
In The Last Decade
Kuniyoshi Kaseda
19 papers receiving 555 citations
Peers
Comparison fields: 5 of 80
- Cell Biology 331
- Molecular Biology 311
- Clinical Biochemistry 80
- Endocrinology, Diabetes and Metabolism 51
- Cardiology and Cardiovascular Medicine 44
Countries citing papers authored by Kuniyoshi Kaseda
This map shows the geographic impact of Kuniyoshi Kaseda'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 Kuniyoshi Kaseda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kuniyoshi Kaseda more than expected).
Fields of papers citing papers by Kuniyoshi Kaseda
This network shows the impact of papers produced by Kuniyoshi Kaseda. 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 Kuniyoshi Kaseda. The network helps show where Kuniyoshi Kaseda may publish in the future.
Co-authorship network of co-authors of Kuniyoshi Kaseda
This figure shows the co-authorship network connecting the top 25 collaborators of Kuniyoshi Kaseda. A scholar is included among the top collaborators of Kuniyoshi Kaseda 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 Kuniyoshi Kaseda. Kuniyoshi Kaseda 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 | 7 | |
| 3 | Dynamic Behavior of Primary Cilia During Cellular Migration | 1 |
| 4 | 1 | |
| 5 | The regulation of mitochondrial function in dermal papilla cells and the evaluation of hydrolyzed yeast extract | 1 |
| 6 | 136 | |
| 7 | 14 | |
| 8 | 6 | |
| 9 | 67 | |
| 10 | 1 | |
| 11 | 11 | |
| 12 | 22 | |
| 13 | 5 | |
| 14 | 3 | |
| 15 | 3 | |
| 16 | 142 | |
| 17 | 20 | |
| 18 | 42 | |
| 19 | 7 | |
| 20 | 7 |
About Kuniyoshi Kaseda
Kuniyoshi Kaseda is a scholar working on Anatomy, Structural Biology and Cell Biology, having authored 22 papers that have together received 566 indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (8 papers), Protist diversity and phylogeny (3 papers) and Micro and Nano Robotics (3 papers). The work is most often cited by research in Cell Biology (331 citations), Clinical Biochemistry (80 citations) and Structural Biology (11 citations). Kuniyoshi Kaseda has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Keiko Hirose, Hideo Higuchi, Robert A. Cross, Takanori Matsui, Sho‐ichi Yamagishi, Nobutaka Nakamura, Andrew D. McAinsh, Etsuko Muto, Hiroyuki Sakai and Isabelle Crevel. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Cell Biology and Nature Cell 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.