Keiichi Katayama
- Molecular Biology top 10%
- Cellular and Molecular Neuroscience top 2%
- Electrical and Electronic Engineering top 10%
- Materials Chemistry top 10%
- Cell Biology top 5%
- Co-authors
- Kunio DoiHiroyuki NakayamaJun ArugaYasuo AzumaKoji UetsukaMasaki UenoT. AkibaYutaka Yoshida
- Topics
- Ferroelectric and Piezoelectric Materials (13 papers)Neurogenesis and neuroplasticity mechanisms (12 papers)Cancer-related Molecular Pathways (11 papers)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Keiichi Katayama
183 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 146
- Molecular Biology 1.2k
- Cellular and Molecular Neuroscience 763
- Electrical and Electronic Engineering 446
- Materials Chemistry 379
- Cell Biology 317
Countries citing papers authored by Keiichi Katayama
This map shows the geographic impact of Keiichi Katayama'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 Keiichi Katayama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keiichi Katayama more than expected).
Fields of papers citing papers by Keiichi Katayama
This network shows the impact of papers produced by Keiichi Katayama. 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 Keiichi Katayama. The network helps show where Keiichi Katayama may publish in the future.
Co-authorship network of co-authors of Keiichi Katayama
This figure shows the co-authorship network connecting the top 25 collaborators of Keiichi Katayama. A scholar is included among the top collaborators of Keiichi Katayama 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 Keiichi Katayama. Keiichi Katayama 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 | 1 | |
| 5 | 60 | |
| 6 | 15 | |
| 7 | 15 | |
| 8 | 125 | |
| 9 | 8 | |
| 10 | 2 | |
| 11 | 2 | |
| 12 | What are the factors that influence the timing of puberty, and what roles could phytoestrogens play? (EDUCATIONAL LECTURE) (Proceedings of the 30th Annual Meeting) | 1 |
| 13 | 3 | |
| 14 | 27 | |
| 15 | 1 | |
| 16 | 1 | |
| 17 | 2 | |
| 18 | 19 | |
| 19 | 0 | |
| 20 | 55 |
About Keiichi Katayama
Keiichi Katayama is a scholar working on Developmental Neuroscience, Orthodontics and Ceramics and Composites, having authored 194 papers that have together received 3.4k indexed citations. Recurring topics across this work include Ferroelectric and Piezoelectric Materials (13 papers), Neurogenesis and neuroplasticity mechanisms (12 papers) and Cancer-related Molecular Pathways (11 papers). The work is most often cited by research in Developmental Neuroscience (275 citations), Cellular and Molecular Neuroscience (763 citations) and Cell Biology (317 citations). Keiichi Katayama has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Kunio Doi, Hiroyuki Nakayama, Jun Aruga, Yasuo Azuma, Koji Uetsuka, Masaki Ueno, T. Akiba, Yutaka Yoshida, Masashi Higuchi and Hiroaki Yanagida. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Neuron.
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.