Mitsunori Katayama
- Molecular Biology top 5%
- Plant Science top 2%
- Cellular and Molecular Neuroscience top 2%
- Renewable Energy, Sustainability and the Environment top 5%
- Ecology, Evolution, Behavior and Systematics top 2%
- Co-authors
- Masahiko IkeuchiTakao KondoRei NarikawaYuu HiroseSusan S. GoldenShizue YoshiharaKumiko KondoTakashi Shimada
- Topics
- Photosynthetic Processes and Mechanisms (28 papers)Algal biology and biofuel production (18 papers)Light effects on plants (18 papers)
- Cited by
- Endocrine and Autonomic SystemsRenewable Energy, Sustainability and the EnvironmentCellular and Molecular Neuroscience
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Mitsunori Katayama
40 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 96
- Molecular Biology 1.7k
- Plant Science 1.1k
- Cellular and Molecular Neuroscience 652
- Renewable Energy, Sustainability and the Environment 627
- Ecology, Evolution, Behavior and Systematics 406
Countries citing papers authored by Mitsunori Katayama
This map shows the geographic impact of Mitsunori 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 Mitsunori Katayama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mitsunori Katayama more than expected).
Fields of papers citing papers by Mitsunori Katayama
This network shows the impact of papers produced by Mitsunori 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 Mitsunori Katayama. The network helps show where Mitsunori Katayama may publish in the future.
Co-authorship network of co-authors of Mitsunori Katayama
This figure shows the co-authorship network connecting the top 25 collaborators of Mitsunori Katayama. A scholar is included among the top collaborators of Mitsunori 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 Mitsunori Katayama. Mitsunori 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 | 13 | |
| 2 | 17 | |
| 3 | 9 | |
| 4 | 56 | |
| 5 | 51 | |
| 6 | 47 | |
| 7 | 89 | |
| 8 | 106 | |
| 9 | 78 | |
| 10 | 14 | |
| 11 | 9 | |
| 12 | 53 | |
| 13 | 24 | |
| 14 | 121 | |
| 15 | 61 | |
| 16 | 99 | |
| 17 | 92 | |
| 18 | 127 | |
| 19 | 60 | |
| 20 | 35 |
About Mitsunori Katayama
Mitsunori Katayama is a scholar working on Renewable Energy, Sustainability and the Environment, Endocrine and Autonomic Systems and Plant Science, having authored 40 papers that have together received 2.1k indexed citations. Recurring topics across this work include Photosynthetic Processes and Mechanisms (28 papers), Algal biology and biofuel production (18 papers) and Light effects on plants (18 papers). The work is most often cited by research in Endocrine and Autonomic Systems (292 citations), Renewable Energy, Sustainability and the Environment (627 citations) and Cellular and Molecular Neuroscience (652 citations). Mitsunori Katayama has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Masahiko Ikeuchi, Takao Kondo, Rei Narikawa, Yuu Hirose, Susan S. Golden, Shizue Yoshihara, Kumiko Kondo, Takashi Shimada, Oliver Schmitz and Stanly B. Williams. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Genes & Development.
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.