Yu Sasano
Impact in
- Food Science top 10%
- Fermentation and Sensory Analysis
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- Fungal and yeast genetics research
- Microbial Metabolic Engineering and Bioproduction
- CRISPR and Genetic Engineering
- Polyamine Metabolism and Applications
- RNA and protein synthesis mechanisms
Papers in
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- Fungal and yeast genetics research 30
- CRISPR and Genetic Engineering 8
- Microbial Metabolic Engineering and Bioproduction 6
- Polyamine Metabolism and Applications 5
- RNA Research and Splicing 4
- RNA and protein synthesis mechanisms 4
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- Biofuel production and bioconversion 16
- Co-authors
- Hiroshi Takagi (11 shared papers)Jun Shima (6 shared papers)Iwao Ohtsu (5 shared papers)Satoshi Harashima (18 shared papers)Keisuke Hashida (4 shared papers)Hiroya Yurimoto (4 shared papers)Yasuyoshi Sakai (4 shared papers)Minetaka Sugiyama (13 shared papers)
In The Last Decade
Yu Sasano
34 papers receiving 608 citations
Peers
Comparison fields: 5 of 59
- Food Science 141
- Molecular Biology 533
- Aging 11
- Biomedical Engineering 211
- Biotechnology 38
Countries citing papers authored by Yu Sasano
This map shows the geographic impact of Yu Sasano'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 Yu Sasano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Sasano more than expected).
Fields of papers citing papers by Yu Sasano
This network shows the impact of papers produced by Yu Sasano. 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 Yu Sasano. The network helps show where Yu Sasano may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu Sasano, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 68 | |
| 2 | 2011 | 50 | |
| 3 | 2010 | 48 | |
| 4 | 2012 | 48 | |
| 5 | 2014 | 41 | |
| 6 | 2012 | 37 | |
| 7 | 2008 | 33 | |
| 8 | 2016 | 29 | |
| 9 | 2010 | 25 | |
| 10 | 2013 | 22 | |
| 11 | 2010 | 22 | |
| 12 | 2019 | 21 | |
| 13 | 2015 | 18 | |
| 14 | 2009 | 18 | |
| 15 | 2012 | 17 | |
| 16 | 2014 | 17 | |
| 17 | 2012 | 15 | |
| 18 | 2015 | 11 | |
| 19 | 2007 | 9 | |
| 20 | 2019 | 9 |
About Yu Sasano
Yu Sasano is a scholar working on Molecular Biology, Biomedical Engineering, Plant Science, Food Science and Organic Chemistry, having authored 37 papers that have together received 611 indexed citations. Recurring topics across this work include Fungal and yeast genetics research (30 papers), Biofuel production and bioconversion (16 papers), CRISPR and Genetic Engineering (8 papers), Microbial Metabolic Engineering and Bioproduction (6 papers), Fermentation and Sensory Analysis (6 papers), Polyamine Metabolism and Applications (5 papers), RNA Research and Splicing (4 papers) and RNA and protein synthesis mechanisms (4 papers). The work is most often cited by research in Food Science (141 citations), Molecular Biology (533 citations), Aging (11 citations), Biomedical Engineering (211 citations) and Biotechnology (38 citations). Yu Sasano has collaborated with scholars based in Japan, Iran and France. Frequent co-authors include Hiroshi Takagi, Jun Shima, Iwao Ohtsu, Satoshi Harashima, Keisuke Hashida, Hiroya Yurimoto, Yasuyoshi Sakai, Minetaka Sugiyama, Akira Nishimura and Tetsuya Kotani. Their work appears in journals such as International Journal of Food Microbiology, Scientific Reports, FEMS Yeast Research, Eukaryotic Cell and Journal of Bioscience and Bioengineering.
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.