Katsutoshi Nitta
- Molecular Biology top 5%
- Materials Chemistry top 5%
- Food Science top 2%
- Fluid Flow and Transfer Processes top 1%
- Organic Chemistry top 5%
- Co-authors
- Shintaro SugaiMasao SakuraiKunihiro KuwajimaKeiichi KawanoMakoto DemuraMineyuki MizuguchiKenji SasaharaTomoyasu Aizawa
- Topics
- Protein Structure and Dynamics (43 papers)Enzyme Structure and Function (38 papers)Proteins in Food Systems (21 papers)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Katsutoshi Nitta
124 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 124
- Molecular Biology 1.9k
- Materials Chemistry 925
- Food Science 502
- Fluid Flow and Transfer Processes 422
- Organic Chemistry 360
Countries citing papers authored by Katsutoshi Nitta
This map shows the geographic impact of Katsutoshi Nitta'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 Katsutoshi Nitta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katsutoshi Nitta more than expected).
Fields of papers citing papers by Katsutoshi Nitta
This network shows the impact of papers produced by Katsutoshi Nitta. 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 Katsutoshi Nitta. The network helps show where Katsutoshi Nitta may publish in the future.
Co-authorship network of co-authors of Katsutoshi Nitta
This figure shows the co-authorship network connecting the top 25 collaborators of Katsutoshi Nitta. A scholar is included among the top collaborators of Katsutoshi Nitta 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 Katsutoshi Nitta. Katsutoshi Nitta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 3 | |
| 3 | 6 | |
| 4 | 6 | |
| 5 | 49 | |
| 6 | 6 | |
| 7 | Structural Analysis of an Antibacterial Peptide Derived from a Nematode | 7 |
| 8 | 20 | |
| 9 | 36 | |
| 10 | 7 | |
| 11 | 22 | |
| 12 | 18 | |
| 13 | 14 | |
| 14 | 40 | |
| 15 | 37 | |
| 16 | 17 | |
| 17 | 26 | |
| 18 | 54 | |
| 19 | Tissue dispersion, cell harvest and fluid suspension culture by the use of bacterial neutral protease. | 51 |
| 20 | 7 |
About Katsutoshi Nitta
Katsutoshi Nitta is a scholar working on Filtration and Separation, Microbiology and Fluid Flow and Transfer Processes, having authored 125 papers that have together received 3.5k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (43 papers), Enzyme Structure and Function (38 papers) and Proteins in Food Systems (21 papers). The work is most often cited by research in Filtration and Separation (307 citations), Fluid Flow and Transfer Processes (422 citations) and Aging (119 citations). Katsutoshi Nitta has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Shintaro Sugai, Masao Sakurai, Kunihiro Kuwajima, Keiichi Kawano, Makoto Demura, Mineyuki Mizuguchi, Kenji Sasahara, Tomoyasu Aizawa, Michio Yoneyama and S. Sugai. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.