Shinsuke Ohnuki
Impact in
- Biophysics top 2%
- Cell Image Analysis Techniques
-
- Fungal and yeast genetics research
- Microbial Metabolic Engineering and Bioproduction
- Bioinformatics and Genomic Networks
Papers in
-
- Fungal and yeast genetics research 22
- Bioinformatics and Genomic Networks 9
- Gene expression and cancer classification 4
- Single-cell and spatial transcriptomics 4
- Food Science 12
- Fermentation and Sensory Analysis 12
- Co-authors
- Yoshikazu Ohya (46 shared papers)Satoru Nogami (9 shared papers)Hiroki Okada (10 shared papers)Aiko Hirata (2 shared papers)Shingo Izawa (1 shared paper)Aya Iwaki (1 shared paper)Shigeyuki Kawano (2 shared papers)Dai Hirata (7 shared papers)
- Journals
- Lab on a Chip (3 papers)Molecular Biology of the Cell (3 papers)G3 Genes Genomes Genetics (3 papers)PLoS ONE (2 papers)BMC Genomics (2 papers)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Shinsuke Ohnuki
44 papers receiving 821 citations
Peers
Comparison fields: 5 of 89
- Biophysics 151
- Molecular Biology 542
- Aging 14
- Food Science 145
- Biotechnology 65
Countries citing papers authored by Shinsuke Ohnuki
This map shows the geographic impact of Shinsuke Ohnuki'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 Shinsuke Ohnuki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shinsuke Ohnuki more than expected).
Fields of papers citing papers by Shinsuke Ohnuki
This network shows the impact of papers produced by Shinsuke Ohnuki. 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 Shinsuke Ohnuki. The network helps show where Shinsuke Ohnuki may publish in the future.
Co-authors
The 25 scholars most cited alongside Shinsuke Ohnuki, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 74 | |
| 2 | 2013 | 71 | |
| 3 | 2010 | 56 | |
| 4 | 2013 | 53 | |
| 5 | 2010 | 39 | |
| 6 | 2013 | 31 | |
| 7 | 2018 | 27 | |
| 8 | 2022 | 26 | |
| 9 | 2021 | 22 | |
| 10 | 2018 | 22 | |
| 11 | 2017 | 21 | |
| 12 | 2014 | 21 | |
| 13 | 2007 | 20 | |
| 14 | 2011 | 20 | |
| 15 | 2019 | 20 | |
| 16 | 2021 | 19 | |
| 17 | 2015 | 18 | |
| 18 | 2021 | 17 | |
| 19 | 2016 | 17 | |
| 20 | 2022 | 16 |
About Shinsuke Ohnuki
Shinsuke Ohnuki is a scholar working on Molecular Biology, Food Science, Biophysics, Plant Science and Biomedical Engineering, having authored 46 papers that have together received 828 indexed citations. Recurring topics across this work include Fungal and yeast genetics research (22 papers), Fermentation and Sensory Analysis (12 papers), Cell Image Analysis Techniques (11 papers), Bioinformatics and Genomic Networks (9 papers), Biofuel production and bioconversion (5 papers), Polysaccharides and Plant Cell Walls (5 papers), Gene expression and cancer classification (4 papers) and Single-cell and spatial transcriptomics (4 papers). The work is most often cited by research in Biophysics (151 citations), Molecular Biology (542 citations), Aging (14 citations), Food Science (145 citations) and Biotechnology (65 citations). Shinsuke Ohnuki has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Yoshikazu Ohya, Satoru Nogami, Hiroki Okada, Aiko Hirata, Shingo Izawa, Aya Iwaki, Shigeyuki Kawano, Dai Hirata, Shuhei Ota and Karen Kubo. Their work appears in journals such as Lab on a Chip, Molecular Biology of the Cell, G3 Genes Genomes Genetics, PLoS ONE and BMC Genomics.
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.