Shugo Nakamura
- Immunology and Allergy top 5%
- Molecular Biology top 10%
- Protein Structure and Dynamics 19
- RNA and protein synthesis mechanisms 14
- Machine Learning in Bioinformatics 12
- DNA and Nucleic Acid Chemistry 5
- Pollution top 10%
- Cell Biology top 10%
- Inorganic Chemistry top 10%
- Metal-Catalyzed Oxygenation Mechanisms 5
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- Enzyme Structure and Function 8
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- Computational Drug Discovery Methods 8
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- Spectroscopy and Quantum Chemical Studies 5
- Co-authors
- Kentaro ShimizuMitsunori IkeguchiTohru TeradaYuko HashimotoTakayasu KurataShinya TanakaKenkoh MuroyaSatoshi Hattori
- Journals
- Science (1 paper)Proceedings of the National Academy of Sciences (1 paper)Journal of the American Chemical Society (1 paper)
- Partner nations
- JapanUnited StatesIran
In The Last Decade
Shugo Nakamura
68 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 129
- Immunology and Allergy 110
- Molecular Biology 975
- Pollution 121
- Cell Biology 148
- Inorganic Chemistry 115
Countries citing papers authored by Shugo Nakamura
This map shows the geographic impact of Shugo Nakamura'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 Shugo Nakamura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shugo Nakamura more than expected).
Fields of papers citing papers by Shugo Nakamura
This network shows the impact of papers produced by Shugo Nakamura. 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 Shugo Nakamura. The network helps show where Shugo Nakamura may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shugo Nakamura, 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 | 2023 | 0 | |
| 2 | 2023 | 9 | |
| 3 | 2023 | 0 | |
| 4 | 2022 | 6 | |
| 5 | 2018 | 11 | |
| 6 | 2016 | 2 | |
| 7 | 2015 | 37 | |
| 8 | 2015 | 35 | |
| 9 | 2015 | 18 | |
| 10 | 2015 | 55 | |
| 11 | 2010 | 38 | |
| 12 | 2008 | 32 | |
| 13 | 2006 | 11 | |
| 14 | 2005 | 72 | |
| 15 | 2005 | 9 | |
| 16 | 2004 | 2 | |
| 17 | 2003 | 6 | |
| 18 | Automatic Improvement of Scheduling Policies in Parsley Parallel Programming Environment. | 2002 | 1 |
| 19 | 1996 | 16 | |
| 20 | 1994 | 21 |
About Shugo Nakamura
Shugo Nakamura is a scholar working on Molecular Biology, Sensory Systems and Computational Theory and Mathematics, having authored 73 papers that have together received 1.6k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (19 papers), RNA and protein synthesis mechanisms (14 papers), Machine Learning in Bioinformatics (12 papers), Enzyme Structure and Function (8 papers), Computational Drug Discovery Methods (8 papers), Spectroscopy and Quantum Chemical Studies (5 papers), Metal-Catalyzed Oxygenation Mechanisms (5 papers) and DNA and Nucleic Acid Chemistry (5 papers). The work is most often cited by research in Immunology and Allergy (110 citations), Molecular Biology (975 citations) and Pollution (121 citations). Shugo Nakamura has collaborated with scholars based in Japan, United States and Iran. Frequent co-authors include Kentaro Shimizu, Mitsunori Ikeguchi, Tohru Terada, Yuko Hashimoto, Takayasu Kurata, Shinya Tanaka, Kenkoh Muroya, Satoshi Hattori, Michiyuki Matsuda and Seishi Shimizu. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
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.