Takashi Katayama
- Fluid Flow and Transfer Processes top 0.5%
- Thermodynamic properties of mixtures 27
- Filtration and Separation top 1%
- Parasitology top 1%
- Vector-borne infectious diseases 13
- Biomedical Engineering top 2%
- Phase Equilibria and Thermodynamics 56
- Catalysis top 5%
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- Chemical Thermodynamics and Molecular Structure 29
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- Electrohydrodynamics and Fluid Dynamics 18
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- Analytical Chemistry and Chromatography 17
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- Carbon Dioxide Capture Technologies 13
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- Process Optimization and Integration 11
- Co-authors
- Kazunari OhgakiTomoshige NittaMasayuki KurookaYumiko FuruyaManabu YamaguchiA KawamuraYuki YoshidaShota Yamamoto
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Takashi Katayama
141 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 111
- Fluid Flow and Transfer Processes 806
- Filtration and Separation 153
- Parasitology 368
- Biomedical Engineering 1.6k
- Catalysis 190
Countries citing papers authored by Takashi Katayama
This map shows the geographic impact of Takashi 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 Takashi Katayama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takashi Katayama more than expected).
Fields of papers citing papers by Takashi Katayama
This network shows the impact of papers produced by Takashi 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 Takashi Katayama. The network helps show where Takashi Katayama may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Takashi Katayama, 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 | 2020 | 1 | |
| 2 | 2007 | 8 | |
| 3 | New Development of Ethylene-Vinyl Alcohol Copolymer Fiber | 2006 | 1 |
| 4 | 2006 | 11 | |
| 5 | 2006 | 4 | |
| 6 | Potential Social Network Search Mechanism for Driving Knowledge Sharing | 2005 | 0 |
| 7 | 2005 | 3 | |
| 8 | 2002 | 20 | |
| 9 | 2001 | 9 | |
| 10 | 2000 | 1 | |
| 11 | 1998 | 3 | |
| 12 | 1998 | 31 | |
| 13 | 1997 | 2 | |
| 14 | 1994 | 6 | |
| 15 | General pharmacology of Ca antagonist clentiazem (TA-3090). Effects on central nervous system | 1992 | 1 |
| 16 | 1990 | 16 | |
| 17 | 1977 | 89 | |
| 18 | 1975 | 7 | |
| 19 | 1974 | 16 | |
| 20 | 1966 | 1 |
About Takashi Katayama
Takashi Katayama is a scholar working on Filtration and Separation, Fluid Flow and Transfer Processes and Parasitology, having authored 142 papers that have together received 2.5k indexed citations. Recurring topics across this work include Phase Equilibria and Thermodynamics (56 papers), Chemical Thermodynamics and Molecular Structure (29 papers), Thermodynamic properties of mixtures (27 papers), Electrohydrodynamics and Fluid Dynamics (18 papers), Analytical Chemistry and Chromatography (17 papers), Carbon Dioxide Capture Technologies (13 papers), Vector-borne infectious diseases (13 papers) and Process Optimization and Integration (11 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (806 citations), Filtration and Separation (153 citations) and Parasitology (368 citations). Takashi Katayama has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Kazunari Ohgaki, Tomoshige Nitta, Masayuki Kurooka, Yumiko Furuya, Manabu Yamaguchi, A Kawamura, Yuki Yoshida, Shota Yamamoto, Ikuo Kaiho and Yuki Yoshida.
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.