Yohei Kosugi
Impact in
- Pharmacology top 5%
- Pharmacogenetics and Drug Metabolism
-
- Computational Drug Discovery Methods
Papers in
-
- Neural Networks and Applications 15
- Co-authors
- Natalie Hosea (3 shared papers)Eiju Watanabe (2 shared papers)Katsuto Takakura (1 shared paper)Yoshiaki Mayanagi (1 shared paper)Hiroyuki Aoki (1 shared paper)Iren Valova (6 shared papers)Sho Sato (4 shared papers)Kimio Tohyama (3 shared papers)
- Journals
- Xenobiotica (6 papers)Bioorganic & Medicinal Chemistry (4 papers)The AAPS Journal (4 papers)Molecular Pharmaceutics (3 papers)IEEE Transactions on Biomedical Engineering (3 papers)
- Partner nations
- JapanUnited StatesIran
In The Last Decade
Yohei Kosugi
64 papers receiving 969 citations
Peers
Comparison fields: 5 of 134
- Pharmacology 103
- Computational Theory and Mathematics 102
- Clinical Biochemistry 43
- Computer Vision and Pattern Recognition 124
- Neurology 83
Countries citing papers authored by Yohei Kosugi
This map shows the geographic impact of Yohei Kosugi'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 Yohei Kosugi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yohei Kosugi more than expected).
Fields of papers citing papers by Yohei Kosugi
This network shows the impact of papers produced by Yohei Kosugi. 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 Yohei Kosugi. The network helps show where Yohei Kosugi may publish in the future.
Co-authors
The 25 scholars most cited alongside Yohei Kosugi, 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 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1991 | 145 | |
| 2 | 2003 | 90 | |
| 3 | 1988 | 87 | |
| 4 | 2011 | 57 | |
| 5 | 2002 | 53 | |
| 6 | 2021 | 42 | |
| 7 | 2020 | 40 | |
| 8 | 2009 | 37 | |
| 9 | 2018 | 28 | |
| 10 | 2019 | 27 | |
| 11 | 2000 | 26 | |
| 12 | 2021 | 23 | |
| 13 | 2018 | 21 | |
| 14 | 1983 | 19 | |
| 15 | 2013 | 18 | |
| 16 | 2013 | 16 | |
| 17 | 2005 | 16 | |
| 18 | 2019 | 15 | |
| 19 | 2011 | 15 | |
| 20 | 2003 | 13 |
About Yohei Kosugi
Yohei Kosugi is a scholar working on Artificial Intelligence, Molecular Biology, Computer Vision and Pattern Recognition, Oncology and Electrical and Electronic Engineering, having authored 74 papers that have together received 999 indexed citations. Recurring topics across this work include Neural Networks and Applications (15 papers), Drug Transport and Resistance Mechanisms (12 papers), Image Retrieval and Classification Techniques (7 papers), Pharmacological Effects and Toxicity Studies (6 papers), Pharmacogenetics and Drug Metabolism (6 papers), Image and Signal Denoising Methods (6 papers), Neuroscience and Neuropharmacology Research (5 papers) and Neural dynamics and brain function (5 papers). The work is most often cited by research in Pharmacology (103 citations), Computational Theory and Mathematics (102 citations), Clinical Biochemistry (43 citations), Computer Vision and Pattern Recognition (124 citations) and Neurology (83 citations). Yohei Kosugi has collaborated with scholars based in Japan, United States and Iran. Frequent co-authors include Natalie Hosea, Eiju Watanabe, Katsuto Takakura, Yoshiaki Mayanagi, Hiroyuki Aoki, Iren Valova, Sho Sato, Kimio Tohyama, Jun-Ichi Goto and Shunsuke Yoshimoto. Their work appears in journals such as Xenobiotica, Bioorganic & Medicinal Chemistry, The AAPS Journal, Molecular Pharmaceutics and IEEE Transactions on Biomedical Engineering.
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.