Tatsuya Iwata
- Bioengineering top 5%
- Analytical Chemistry and Sensors 32
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- Photoreceptor and optogenetics research 12
- Computational Mechanics top 5%
- Ion-surface interactions and analysis 24
- Building and Construction top 5%
- Materials Chemistry top 10%
- Fusion materials and technologies 15
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- Advanced Memory and Neural Computing 13
- Gas Sensing Nanomaterials and Sensors 11
- Electrochemical sensors and biosensors 11
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- Advanced Chemical Sensor Technologies 12
- Co-authors
- A. IwaseTakuya NihiraHideki KandoriShinya SasakiKazuaki SawadaKazuhiro TakahashiTsunenobu KimotoShota Ito
- Journals
- Journal of the American Chemical Society (2 papers)Physical Review Letters (2 papers)Nature Communications (1 paper)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Tatsuya Iwata
104 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 95
- Bioengineering 131
- Cellular and Molecular Neuroscience 208
- Computational Mechanics 219
- Building and Construction 139
- Materials Chemistry 391
Countries citing papers authored by Tatsuya Iwata
This map shows the geographic impact of Tatsuya Iwata'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 Tatsuya Iwata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tatsuya Iwata more than expected).
Fields of papers citing papers by Tatsuya Iwata
This network shows the impact of papers produced by Tatsuya Iwata. 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 Tatsuya Iwata. The network helps show where Tatsuya Iwata may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tatsuya Iwata, 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 | 2024 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2021 | 8 | |
| 4 | 2021 | 3 | |
| 5 | 2021 | 2 | |
| 6 | 2021 | 8 | |
| 7 | 2020 | 18 | |
| 8 | 2020 | 5 | |
| 9 | 2017 | 2 | |
| 10 | 2017 | 4 | |
| 11 | Influence of the volume of membrane on the output response of enzyme functionalized potentiometric sensor arrays for ATP imaging | 2016 | 1 |
| 12 | 2016 | 7 | |
| 13 | 2013 | 19 | |
| 14 | 2012 | 9 | |
| 15 | SELENE Small Sub-Satellites for Lunar Gravity Observation | 2007 | 2 |
| 16 | 1997 | 30 | |
| 17 | 1992 | 7 | |
| 18 | 1991 | 11 | |
| 19 | 1984 | 9 | |
| 20 | 1968 | 5 |
About Tatsuya Iwata
Tatsuya Iwata is a scholar working on Bioengineering, Metals and Alloys and Cellular and Molecular Neuroscience, having authored 111 papers that have together received 1.1k indexed citations. Recurring topics across this work include Analytical Chemistry and Sensors (32 papers), Ion-surface interactions and analysis (24 papers), Fusion materials and technologies (15 papers), Advanced Memory and Neural Computing (13 papers), Photoreceptor and optogenetics research (12 papers), Advanced Chemical Sensor Technologies (12 papers), Gas Sensing Nanomaterials and Sensors (11 papers) and Electrochemical sensors and biosensors (11 papers). The work is most often cited by research in Bioengineering (131 citations), Cellular and Molecular Neuroscience (208 citations) and Computational Mechanics (219 citations). Tatsuya Iwata has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include A. Iwase, Takuya Nihira, Hideki Kandori, Shinya Sasaki, Kazuaki Sawada, Kazuhiro Takahashi, Tsunenobu Kimoto, Shota Ito, Jan Wienold and Clotilde Pierson. Their work appears in journals such as Journal of the American Chemical Society, Physical Review Letters and Nature Communications.
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.