Yohei Kosugi
Impact in
- Pharmacology top 5%
- Pharmacogenetics and Drug Metabolism
- Clinical Biochemistry top 10%
- Metabolism and Genetic Disorders
Papers in
-
- Neural Networks and Applications 15
- Co-authors
- Eiju Watanabe (3 shared papers)Natalie Hosea (3 shared papers)Katsuto Takakura (1 shared paper)Yoshiaki Mayanagi (1 shared paper)Hiroyuki Aoki (1 shared paper)Shunsuke Yoshimoto (1 shared paper)Jun-Ichi Goto (1 shared paper)Iren Valova (6 shared papers)
- Journals
- Xenobiotica (6 papers)Bioorganic & Medicinal Chemistry (4 papers)The AAPS Journal (4 papers)IEEE Transactions on Biomedical Engineering (3 papers)Journal of Medicinal Chemistry (3 papers)
- Partner nations
- JapanUnited StatesBangladesh
In The Last Decade
Yohei Kosugi
66 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 137
- Pharmacology 103
- Clinical Biochemistry 45
- Computational Theory and Mathematics 107
- Computer Vision and Pattern Recognition 132
- Pharmaceutical Science 36
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 79 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1991 | 166 | |
| 2 | 1988 | 103 | |
| 3 | 2003 | 99 | |
| 4 | 2002 | 60 | |
| 5 | 2011 | 58 | |
| 6 | 2021 | 44 | |
| 7 | 2020 | 41 | |
| 8 | 2009 | 39 | |
| 9 | 2018 | 31 | |
| 10 | 2019 | 29 | |
| 11 | 2000 | 27 | |
| 12 | 2021 | 23 | |
| 13 | 2018 | 23 | |
| 14 | 1983 | 20 | |
| 15 | 2013 | 20 | |
| 16 | 2011 | 18 | |
| 17 | 2013 | 17 | |
| 18 | 2019 | 16 | |
| 19 | 2005 | 16 | |
| 20 | 2021 | 15 |
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 79 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neural Networks and Applications (15 papers), Drug Transport and Resistance Mechanisms (11 papers), Image Retrieval and Classification Techniques (7 papers), Image and Signal Denoising Methods (6 papers), Pharmacogenetics and Drug Metabolism (6 papers), Pharmacological Effects and Toxicity Studies (6 papers), Neuroscience and Neuropharmacology Research (5 papers) and Computational Drug Discovery Methods (5 papers). The work is most often cited by research in Pharmacology (103 citations), Clinical Biochemistry (45 citations), Computational Theory and Mathematics (107 citations), Computer Vision and Pattern Recognition (132 citations) and Pharmaceutical Science (36 citations). Yohei Kosugi has collaborated with scholars based in Japan, United States and Bangladesh. Frequent co-authors include Eiju Watanabe, Natalie Hosea, Katsuto Takakura, Yoshiaki Mayanagi, Hiroyuki Aoki, Shunsuke Yoshimoto, Jun-Ichi Goto, Iren Valova, Takashi Watanabe and Kintomo Takakura. Their work appears in journals such as Xenobiotica, Bioorganic & Medicinal Chemistry, The AAPS Journal, IEEE Transactions on Biomedical Engineering and Journal of Medicinal Chemistry.
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.