Dai Kato
Impact in
- Electrochemistry top 0.5%
- Electrochemical Analysis and Applications
- Bioengineering top 1%
- Analytical Chemistry and Sensors
Papers in
-
- Electrochemical sensors and biosensors 40
- Molecular Junctions and Nanostructures 8
-
- Electrochemical Analysis and Applications 39
- Co-authors
- Osamu Niwa (67 shared papers)Ryoji Kurita (27 shared papers)Shigeru Hirono (20 shared papers)Tomoyuki Kamata (38 shared papers)Akio Ueda (12 shared papers)Naoyuki Sekioka (8 shared papers)Kohei Nakamoto (5 shared papers)Yukari Sato (9 shared papers)
- Journals
- Analytical Chemistry (13 papers)Sensors and Actuators B Chemical (5 papers)Electroanalysis (4 papers)Japanese Journal of Applied Physics (3 papers)Chemistry Letters (3 papers)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Dai Kato
102 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 105
- Electrochemistry 697
- Bioengineering 252
- Electrical and Electronic Engineering 958
- Polymers and Plastics 231
- Molecular Biology 845
Countries citing papers authored by Dai Kato
This map shows the geographic impact of Dai Kato'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 Dai Kato with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dai Kato more than expected).
Fields of papers citing papers by Dai Kato
This network shows the impact of papers produced by Dai Kato. 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 Dai Kato. The network helps show where Dai Kato may publish in the future.
Co-authors
The 25 scholars most cited alongside Dai Kato, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 106 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 144 | |
| 2 | 2006 | 101 | |
| 3 | 2011 | 86 | |
| 4 | 2006 | 83 | |
| 5 | 2016 | 83 | |
| 6 | 2008 | 80 | |
| 7 | 2012 | 79 | |
| 8 | 2010 | 76 | |
| 9 | 2008 | 75 | |
| 10 | 2013 | 68 | |
| 11 | 2012 | 62 | |
| 12 | 2004 | 56 | |
| 13 | 2008 | 52 | |
| 14 | 2011 | 51 | |
| 15 | 2013 | 46 | |
| 16 | 2009 | 46 | |
| 17 | 2014 | 45 | |
| 18 | 2010 | 43 | |
| 19 | 2006 | 42 | |
| 20 | 2003 | 37 |
About Dai Kato
Dai Kato is a scholar working on Electrical and Electronic Engineering, Electrochemistry, Molecular Biology, Bioengineering and Aerospace Engineering, having authored 106 papers that have together received 2.1k indexed citations. Recurring topics across this work include Electrochemical sensors and biosensors (40 papers), Electrochemical Analysis and Applications (39 papers), Advanced biosensing and bioanalysis techniques (23 papers), Analytical Chemistry and Sensors (21 papers), Turbomachinery Performance and Optimization (19 papers), Conducting polymers and applications (14 papers), Refrigeration and Air Conditioning Technologies (13 papers) and Molecular Junctions and Nanostructures (8 papers). The work is most often cited by research in Electrochemistry (697 citations), Bioengineering (252 citations), Electrical and Electronic Engineering (958 citations), Polymers and Plastics (231 citations) and Molecular Biology (845 citations). Dai Kato has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Osamu Niwa, Ryoji Kurita, Shigeru Hirono, Tomoyuki Kamata, Akio Ueda, Naoyuki Sekioka, Kohei Nakamoto, Yukari Sato, Koji Suzuki and Jianbo Jia. Their work appears in journals such as Analytical Chemistry, Sensors and Actuators B Chemical, Electroanalysis, Japanese Journal of Applied Physics and Chemistry Letters.
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.