Hideyoshi Fuji
Impact in
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- Computational Drug Discovery Methods
Papers in
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- Protein Structure and Dynamics 5
- Receptor Mechanisms and Signaling 3
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- Computational Drug Discovery Methods 5
- Co-authors
- Andy McShea (4 shared papers)Robin Hui Liu (4 shared papers)Gentaro Morimoto (2 shared papers)Atsushi Suenaga (2 shared papers)Makoto Taiji (2 shared papers)Noriaki Okimoto (2 shared papers)Noriyuki Futatsugi (2 shared papers)Tetsu Narumi (2 shared papers)
- Journals
- Analytical Chemistry (2 papers)Chemical and Pharmaceutical Bulletin (2 papers)Journal of Pharmacology and Experimental Therapeutics (1 paper)Phytochemistry (1 paper)PLoS Computational Biology (1 paper)
- Partner nations
- JapanThailandUnited States
In The Last Decade
Hideyoshi Fuji
15 papers receiving 374 citations
Peers
Comparison fields: 5 of 77
- Drug Discovery 1
- Computational Theory and Mathematics 83
- Virology 19
- Molecular Biology 221
- Infectious Diseases 58
Countries citing papers authored by Hideyoshi Fuji
This map shows the geographic impact of Hideyoshi Fuji'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 Hideyoshi Fuji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hideyoshi Fuji more than expected).
Fields of papers citing papers by Hideyoshi Fuji
This network shows the impact of papers produced by Hideyoshi Fuji. 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 Hideyoshi Fuji. The network helps show where Hideyoshi Fuji may publish in the future.
Co-authors
The 25 scholars most cited alongside Hideyoshi Fuji, 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 | 2009 | 137 | |
| 2 | 2006 | 60 | |
| 3 | 2006 | 41 | |
| 4 | 2009 | 31 | |
| 5 | 2012 | 26 | |
| 6 | 2006 | 19 | |
| 7 | 2017 | 14 | |
| 8 | 2006 | 14 | |
| 9 | 2015 | 12 | |
| 10 | 2017 | 9 | |
| 11 | 2021 | 7 | |
| 12 | 2008 | 7 | |
| 13 | 2010 | 5 | |
| 14 | 2021 | 4 | |
| 15 | 2008 | 1 |
About Hideyoshi Fuji
Hideyoshi Fuji is a scholar working on Molecular Biology, Computational Theory and Mathematics, Biomedical Engineering, Epidemiology and Cellular and Molecular Neuroscience, having authored 15 papers that have together received 387 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (5 papers), Protein Structure and Dynamics (5 papers), Microfluidic and Capillary Electrophoresis Applications (3 papers), Receptor Mechanisms and Signaling (3 papers), Neuropeptides and Animal Physiology (2 papers), Innovative Microfluidic and Catalytic Techniques Innovation (2 papers), Microfluidic and Bio-sensing Technologies (2 papers) and Influenza Virus Research Studies (2 papers). The work is most often cited by research in Drug Discovery (1 citation), Computational Theory and Mathematics (83 citations), Virology (19 citations), Molecular Biology (221 citations) and Infectious Diseases (58 citations). Hideyoshi Fuji has collaborated with scholars based in Japan, Thailand and United States. Frequent co-authors include Andy McShea, Robin Hui Liu, Gentaro Morimoto, Atsushi Suenaga, Makoto Taiji, Noriaki Okimoto, Noriyuki Futatsugi, Tetsu Narumi, Tyuji Hoshino and Michael J. Lodes. Their work appears in journals such as Analytical Chemistry, Chemical and Pharmaceutical Bulletin, Journal of Pharmacology and Experimental Therapeutics, Phytochemistry and PLoS Computational Biology.
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.