Yuh Shiwa
- Molecular Biology top 10%
- Genomics and Phylogenetic Studies 28
- RNA and protein synthesis mechanisms 12
- Genetics top 5%
- Bacterial Genetics and Biotechnology 12
- Plant Science top 5%
- Condensed Matter Physics top 10%
- Theoretical and Computational Physics 18
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- Bacteriophages and microbial interactions 14
- Microbial Community Ecology and Physiology 10
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- Probiotics and Fermented Foods 13
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- Nonlinear Dynamics and Pattern Formation 12
- Co-authors
- Hirofumi YoshikawaY. OonoKyozi KawasakiYu KanesakiSatoru WatanabeAki HiraiNaotake OgasawaraMd. Altaf‐Ul‐Amin
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Physical Review Letters (2 papers)Nucleic Acids Research (1 paper)
- Partner nations
- JapanUnited StatesThailand
In The Last Decade
Yuh Shiwa
135 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Fluid Flow and Transfer Processes 117
- Molecular Biology 1.2k
- Genetics 425
- Plant Science 531
- Condensed Matter Physics 166
Countries citing papers authored by Yuh Shiwa
This map shows the geographic impact of Yuh Shiwa'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 Yuh Shiwa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuh Shiwa more than expected).
Fields of papers citing papers by Yuh Shiwa
This network shows the impact of papers produced by Yuh Shiwa. 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 Yuh Shiwa. The network helps show where Yuh Shiwa may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yuh Shiwa, 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 | 2024 | 4 | |
| 3 | 2023 | 3 | |
| 4 | 2023 | 0 | |
| 5 | 2022 | 3 | |
| 6 | 2021 | 7 | |
| 7 | 2020 | 13 | |
| 8 | 2019 | 25 | |
| 9 | 2016 | 32 | |
| 10 | 2015 | 49 | |
| 11 | 2014 | 22 | |
| 12 | 2013 | 8 | |
| 13 | 2013 | 6 | |
| 14 | 2011 | 111 | |
| 15 | 2011 | 8 | |
| 16 | 2011 | 63 | |
| 17 | 2009 | 1 | |
| 18 | 2005 | 3 | |
| 19 | 2003 | 2 | |
| 20 | 2000 | 18 |
About Yuh Shiwa
Yuh Shiwa is a scholar working on Condensed Matter Physics, Fluid Flow and Transfer Processes and Biotechnology, having authored 137 papers that have together received 2.5k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (28 papers), Theoretical and Computational Physics (18 papers), Bacteriophages and microbial interactions (14 papers), Probiotics and Fermented Foods (13 papers), Nonlinear Dynamics and Pattern Formation (12 papers), RNA and protein synthesis mechanisms (12 papers), Bacterial Genetics and Biotechnology (12 papers) and Microbial Community Ecology and Physiology (10 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (117 citations), Molecular Biology (1.2k citations) and Genetics (425 citations). Yuh Shiwa has collaborated with scholars based in Japan, United States and Thailand. Frequent co-authors include Hirofumi Yoshikawa, Y. Oono, Kyozi Kawasaki, Yu Kanesaki, Satoru Watanabe, Aki Hirai, Naotake Ogasawara, Md. Altaf‐Ul‐Amin, Margaret C. Linak and Takuya Morimoto. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Nucleic Acids Research.
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.