Koichi Uegaki
- Developmental Neuroscience top 5%
- Biotechnology top 2%
- Enzyme Production and Characterization 13
- Molecular Biology top 5%
- Studies on Chitinases and Chitosanases 10
- Protein Structure and Dynamics 8
- RNA and protein synthesis mechanisms 8
- Redox biology and oxidative stress 6
- Extracellular vesicles in disease 5
- Microbiology top 10%
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- Enzyme Structure and Function 14
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- Biofuel production and bioconversion 6
- Co-authors
- Yoshihisa HagiharaToshio YamazakiShouhei MineTakanori OtomoT. NakamuraKazuhiko IshikawaYoshimasa KyōgokuNoboru Yumoto
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of the American Chemical Society (1 paper)Journal of Biological Chemistry (4 papers)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Koichi Uegaki
69 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 114
- Developmental Neuroscience 130
- Biotechnology 213
- Molecular Biology 1.3k
- Cellular and Molecular Neuroscience 341
- Microbiology 44
Countries citing papers authored by Koichi Uegaki
This map shows the geographic impact of Koichi Uegaki'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 Uegaki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Koichi Uegaki more than expected).
Fields of papers citing papers by Koichi Uegaki
This network shows the impact of papers produced by Koichi Uegaki. 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 Uegaki. The network helps show where Koichi Uegaki may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Koichi Uegaki, 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 | 2024 | 2 | |
| 2 | 2023 | 2 | |
| 3 | 2022 | 58 | |
| 4 | 2021 | 2 | |
| 5 | 2018 | 5 | |
| 6 | 2017 | 9 | |
| 7 | 2015 | 28 | |
| 8 | 2014 | 39 | |
| 9 | 2012 | 48 | |
| 10 | 2012 | 14 | |
| 11 | 2011 | 76 | |
| 12 | 2010 | 19 | |
| 13 | 2009 | 157 | |
| 14 | 2006 | 7 | |
| 15 | 2005 | 11 | |
| 16 | 2000 | 55 | |
| 17 | 1998 | 23 | |
| 18 | 1998 | 52 | |
| 19 | 1996 | 19 | |
| 20 | 1991 | 39 |
About Koichi Uegaki
Koichi Uegaki is a scholar working on Biotechnology, Molecular Biology and Microbiology, having authored 70 papers that have together received 1.8k indexed citations. Recurring topics across this work include Enzyme Structure and Function (14 papers), Enzyme Production and Characterization (13 papers), Studies on Chitinases and Chitosanases (10 papers), Protein Structure and Dynamics (8 papers), RNA and protein synthesis mechanisms (8 papers), Redox biology and oxidative stress (6 papers), Biofuel production and bioconversion (6 papers) and Extracellular vesicles in disease (5 papers). The work is most often cited by research in Developmental Neuroscience (130 citations), Biotechnology (213 citations) and Molecular Biology (1.3k citations). Koichi Uegaki has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Yoshihisa Hagihara, Toshio Yamazaki, Shouhei Mine, Takanori Otomo, T. Nakamura, Kazuhiko Ishikawa, Yoshimasa Kyōgoku, Noboru Yumoto, Yoshiro Tatsu and Masami Kojima. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological 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.