Katsuhiko Kitamoto
- Molecular Biology top 1%
- Plant Science top 1%
- Biotechnology top 0.1%
- Cell Biology top 0.5%
- Biomedical Engineering top 2%
- Co-authors
- Jun‐ichi MaruyamaManabu AriokaKatsuya GomiPraveen R. JuvvadiJun‐ya ShojiChieko KumagaiYasutaka AnrakuTakashi Kikuma
- Topics
- Fungal and yeast genetics research (132 papers)Enzyme Production and Characterization (39 papers)Cellular transport and secretion (38 papers)
- Journals
- Journal of Biological ChemistrySHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- JapanUnited StatesSwitzerland
In The Last Decade
Katsuhiko Kitamoto
240 papers receiving 7.7k citations
Peers
Comparison fields: 5 of 136
- Molecular Biology 5.8k
- Plant Science 1.8k
- Biotechnology 1.5k
- Cell Biology 1.5k
- Biomedical Engineering 1.5k
Countries citing papers authored by Katsuhiko Kitamoto
This map shows the geographic impact of Katsuhiko Kitamoto'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 Katsuhiko Kitamoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katsuhiko Kitamoto more than expected).
Fields of papers citing papers by Katsuhiko Kitamoto
This network shows the impact of papers produced by Katsuhiko Kitamoto. 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 Katsuhiko Kitamoto. The network helps show where Katsuhiko Kitamoto may publish in the future.
Co-authorship network of co-authors of Katsuhiko Kitamoto
This figure shows the co-authorship network connecting the top 25 collaborators of Katsuhiko Kitamoto. A scholar is included among the top collaborators of Katsuhiko Kitamoto 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 Katsuhiko Kitamoto. Katsuhiko Kitamoto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 13 | |
| 4 | 9 | |
| 5 | 3Da10 Further enhanced production of heterologous proteins by AosedD gene disruption in hyper-producing mutant AUT1 of Aspergillus oryzae : | 3 |
| 6 | 23 | |
| 7 | 73 | |
| 8 | 3 | |
| 9 | 53 | |
| 10 | 0 | |
| 11 | 38 | |
| 12 | 20 | |
| 13 | 6 | |
| 14 | 140 | |
| 15 | 24 | |
| 16 | 52 | |
| 17 | 7 | |
| 18 | 81 | |
| 19 | Analysis and application of the promoter of phosphoglycerate kinase gene (pgkA) from Aspergillus oryzae. | 1 |
| 20 | 1 |
About Katsuhiko Kitamoto
Katsuhiko Kitamoto is a scholar working on Biotechnology, Cell Biology and Molecular Biology, having authored 246 papers that have together received 7.9k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (132 papers), Enzyme Production and Characterization (39 papers) and Cellular transport and secretion (38 papers). The work is most often cited by research in Biotechnology (1.5k citations), Cell Biology (1.5k citations) and Molecular Biology (5.8k citations). Katsuhiko Kitamoto has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Jun‐ichi Maruyama, Manabu Arioka, Katsuya Gomi, Praveen R. Juvvadi, Jun‐ya Shoji, Chieko Kumagai, Yasutaka Anraku, Takashi Kikuma, Yoshinori Ohsumi and Harushi Nakajima. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.
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.