Katsutoshi Nitta
- Filtration and Separation top 0.5%
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- Thermodynamic properties of mixtures 11
- Aging top 2%
- Microbiology top 2%
- Antimicrobial Peptides and Activities 12
- Molecular Biology top 5%
- Protein Structure and Dynamics 43
- Protein Interaction Studies and Fluorescence Analysis 17
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- Enzyme Structure and Function 38
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- Proteins in Food Systems 21
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- Infant Nutrition and Health 11
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- Surfactants and Colloidal Systems 10
- Co-authors
- Shintaro SugaiMasao SakuraiKunihiro KuwajimaKeiichi KawanoMakoto DemuraMineyuki MizuguchiKenji SasaharaTomoyasu Aizawa
- Journals
- Nucleic Acids Research (1 paper)Journal of Biological Chemistry (7 papers)Journal of Clinical Investigation (1 paper)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Katsutoshi Nitta
124 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 124
- Filtration and Separation 307
- Fluid Flow and Transfer Processes 422
- Aging 119
- Microbiology 209
- Molecular Biology 1.9k
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
The 25 scholars most cited alongside Katsutoshi Nitta, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 6 | |
| 2 | 2004 | 3 | |
| 3 | 2003 | 6 | |
| 4 | 2003 | 6 | |
| 5 | 2002 | 49 | |
| 6 | 2002 | 6 | |
| 7 | Structural Analysis of an Antibacterial Peptide Derived from a Nematode | 2001 | 7 |
| 8 | 2001 | 20 | |
| 9 | 2001 | 36 | |
| 10 | 2001 | 7 | |
| 11 | 1999 | 22 | |
| 12 | 1999 | 18 | |
| 13 | 1998 | 14 | |
| 14 | 1992 | 40 | |
| 15 | 1992 | 37 | |
| 16 | 1991 | 17 | |
| 17 | 1989 | 26 | |
| 18 | 1987 | 54 | |
| 19 | Tissue dispersion, cell harvest and fluid suspension culture by the use of bacterial neutral protease. | 1975 | 51 |
| 20 | 1971 | 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), Proteins in Food Systems (21 papers), Protein Interaction Studies and Fluorescence Analysis (17 papers), Antimicrobial Peptides and Activities (12 papers), Infant Nutrition and Health (11 papers), Thermodynamic properties of mixtures (11 papers) and Surfactants and Colloidal Systems (10 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.