Koichi Wada
Impact in
- Pharmaceutical Science top 0.2%
- Drug Solubulity and Delivery Systems
- Advanced Drug Delivery Systems
- Analytical Chemistry top 2%
- Analytical Methods in Pharmaceuticals
Papers in
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- Distributed and Parallel Computing Systems 17
- Interconnection Networks and Systems 12
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- Parallel Computing and Optimization Techniques 26
- Embedded Systems Design Techniques 8
- Co-authors
- Satomi Onoue (7 shared papers)Yohei Kawabata (7 shared papers)Shizuo Yamada (6 shared papers)Manabu Nakatani (3 shared papers)Kiyoshi Toko (4 shared papers)Masanori Ito (5 shared papers)Koji Nakano (1 shared paper)Etsuo Yonemochi (6 shared papers)
In The Last Decade
Koichi Wada
81 papers receiving 1.7k citations
Koichi Wada's Hit Papers
Peers
Comparison fields: 5 of 128
- Pharmaceutical Science 917
- Analytical Chemistry 211
- Sensory Systems 83
- Spectroscopy 218
- Pharmacology 97
Countries citing papers authored by Koichi Wada
This map shows the geographic impact of Koichi Wada'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 Koichi Wada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Koichi Wada more than expected).
Fields of papers citing papers by Koichi Wada
This network shows the impact of papers produced by Koichi Wada. 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 Koichi Wada. The network helps show where Koichi Wada may publish in the future.
Co-authors
The 25 scholars most cited alongside Koichi Wada, 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 95 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Formulation design for poorly water-soluble drugs based on biopharmaceutics classification system: Basic approaches and practical applications Hit paper breakdown → | 2011 | 955 |
| 2 | 2014 | 79 | |
| 3 | 2001 | 64 | |
| 4 | 1998 | 51 | |
| 5 | 2012 | 44 | |
| 6 | 2011 | 40 | |
| 7 | 2015 | 39 | |
| 8 | 2000 | 36 | |
| 9 | 2012 | 30 | |
| 10 | 1998 | 29 | |
| 11 | 2013 | 28 | |
| 12 | 2012 | 28 | |
| 13 | 2020 | 21 | |
| 14 | 2017 | 19 | |
| 15 | 2021 | 15 | |
| 16 | 2005 | 15 | |
| 17 | 2015 | 14 | |
| 18 | 2016 | 14 | |
| 19 | 2013 | 12 | |
| 20 | 2022 | 12 |
About Koichi Wada
Koichi Wada is a scholar working on Computer Networks and Communications, Hardware and Architecture, Pharmaceutical Science, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 95 papers that have together received 1.8k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (26 papers), Drug Solubulity and Delivery Systems (24 papers), Distributed and Parallel Computing Systems (17 papers), Interconnection Networks and Systems (12 papers), Embedded Systems Design Techniques (8 papers), Advanced Drug Delivery Systems (8 papers), Advanced Chemical Sensor Technologies (7 papers) and Biochemical Analysis and Sensing Techniques (6 papers). The work is most often cited by research in Pharmaceutical Science (917 citations), Analytical Chemistry (211 citations), Sensory Systems (83 citations), Spectroscopy (218 citations) and Pharmacology (97 citations). Koichi Wada has collaborated with scholars based in Japan, Germany and Portugal. Frequent co-authors include Satomi Onoue, Yohei Kawabata, Shizuo Yamada, Manabu Nakatani, Kiyoshi Toko, Masanori Ito, Koji Nakano, Etsuo Yonemochi, Kazuo Toraichi and Hiromi Yamada. Their work appears in journals such as International Journal of Pharmaceutics, Journal of Pharmaceutical Sciences, European Journal of Pharmaceutical Sciences, Pattern Recognition Letters and Chemical and Pharmaceutical Bulletin.
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.