Shinsuke Ohnuki

1.5k total citations
44 papers, 795 citations indexed

About

Shinsuke Ohnuki is a scholar working on Molecular Biology, Food Science and Biophysics. According to data from OpenAlex, Shinsuke Ohnuki has authored 44 papers receiving a total of 795 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 11 papers in Food Science and 10 papers in Biophysics. Recurrent topics in Shinsuke Ohnuki's work include Fungal and yeast genetics research (21 papers), Bioinformatics and Genomic Networks (11 papers) and Fermentation and Sensory Analysis (11 papers). Shinsuke Ohnuki is often cited by papers focused on Fungal and yeast genetics research (21 papers), Bioinformatics and Genomic Networks (11 papers) and Fermentation and Sensory Analysis (11 papers). Shinsuke Ohnuki collaborates with scholars based in Japan, United States and China. Shinsuke Ohnuki's co-authors include Yoshikazu Ohya, Satoru Nogami, Hiroki Okada, Aiko Hirata, Shingo Izawa, Shuhei Ota, Shigeyuki Kawano, Joseph Schacherer, Dai Hirata and Kazuo Okuda and has published in prestigious journals such as The Journal of Cell Biology, PLoS ONE and Scientific Reports.

In The Last Decade

Shinsuke Ohnuki

44 papers receiving 786 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Shinsuke Ohnuki Japan 17 553 163 150 134 130 44 795
William C. DeLoache United States 5 1.3k 2.3× 196 1.2× 17 0.1× 172 1.3× 119 0.9× 5 1.5k
Yizhi Cai United Kingdom 23 1.6k 3.0× 205 1.3× 41 0.3× 42 0.3× 207 1.6× 65 1.8k
Sylvain Prigent France 15 408 0.7× 113 0.7× 14 0.1× 36 0.3× 270 2.1× 36 741
Alejandro Sarrion‐Perdigones United States 15 895 1.6× 49 0.3× 30 0.2× 121 0.9× 507 3.9× 22 1.2k
Natalia Gabrielli Spain 10 536 1.0× 46 0.3× 13 0.1× 164 1.2× 77 0.6× 11 722
Leanne Jade G. Chan United States 20 1.1k 2.0× 283 1.7× 11 0.1× 82 0.6× 178 1.4× 28 1.4k
Carola Söhngen Germany 6 683 1.2× 121 0.7× 13 0.1× 29 0.2× 45 0.3× 7 848
Jang Ryol Liu South Korea 19 813 1.5× 71 0.4× 11 0.1× 80 0.6× 556 4.3× 58 1.1k
Dana Gášková Czechia 17 519 0.9× 52 0.3× 21 0.1× 83 0.6× 149 1.1× 43 768
Robert C. Bugos United States 17 1.1k 1.9× 149 0.9× 15 0.1× 53 0.4× 611 4.7× 19 1.3k

Countries citing papers authored by Shinsuke Ohnuki

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Shinsuke Ohnuki

This figure shows the co-authorship network connecting the top 25 collaborators of Shinsuke Ohnuki. A scholar is included among the top collaborators of Shinsuke Ohnuki based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shinsuke Ohnuki. Shinsuke Ohnuki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Hayashi, Mika, Shinsuke Ohnuki, Naoko Kondo, et al.. (2023). Is AI essential? Examining the need for deep learning in image-activated sorting of Saccharomyces cerevisiae. Lab on a Chip. 23(19). 4232–4244. 5 indexed citations
2.
Isozaki, Akihiro, Maik Herbig, Mika Hayashi, et al.. (2022). Intelligent sort‐timing prediction for image‐activated cell sorting. Cytometry Part A. 103(1). 88–97. 9 indexed citations
3.
Ohnuki, Shinsuke, Kaori Itto‐Nakama, Fachuang Lu, et al.. (2022). High-throughput platform for yeast morphological profiling predicts the targets of bioactive compounds. npj Systems Biology and Applications. 8(1). 3–3. 7 indexed citations
4.
Ohnuki, Shinsuke, et al.. (2022). Assignment of unimodal probability distribution models for quantitative morphological phenotyping. BMC Biology. 20(1). 81–81. 3 indexed citations
5.
Kubo, Karen, Kaori Itto‐Nakama, Shinsuke Ohnuki, et al.. (2022). Jerveratrum-Type Steroidal Alkaloids Inhibit β-1,6-Glucan Biosynthesis in Fungal Cell Walls. Microbiology Spectrum. 10(1). e0087321–e0087321. 13 indexed citations
6.
Nakagawa, Yuta, Shinsuke Ohnuki, Naoko Kondo, et al.. (2021). Are droplets really suitable for single-cell analysis? A case study on yeast in droplets. Lab on a Chip. 21(19). 3793–3803. 16 indexed citations
7.
Okada, Hiroki, Yaxuan Liu, Kaori Itto‐Nakama, et al.. (2021). Defining Functions of Mannoproteins in Saccharomyces cerevisiae by High-Dimensional Morphological Phenotyping. Journal of Fungi. 7(9). 769–769. 9 indexed citations
8.
Itto‐Nakama, Kaori, Shun Watanabe, Naoko Kondo, et al.. (2021). AI-based forecasting of ethanol fermentation using yeast morphological data. Bioscience Biotechnology and Biochemistry. 86(1). 125–134. 21 indexed citations
9.
Ohnuki, Shinsuke, Bryan-Joseph San Luis, Melainia McClain, et al.. (2018). The budding yeast RSC complex maintains ploidy by promoting spindle pole body insertion. The Journal of Cell Biology. 217(7). 2445–2462. 7 indexed citations
10.
Ohnuki, Shinsuke & Yoshikazu Ohya. (2018). High-dimensional single-cell phenotyping reveals extensive haploinsufficiency. PLoS Biology. 16(5). e2005130–e2005130. 26 indexed citations
11.
Ota, Shuhei, Shinsuke Ohnuki, Aiko Hirata, et al.. (2018). Carotenoid dynamics and lipid droplet containing astaxanthin in response to light in the green alga Haematococcus pluvialis. Scientific Reports. 8(1). 5617–5617. 71 indexed citations
12.
Ohnuki, Shinsuke, Hiroki Okada, Keisuke Obara, et al.. (2017). Systematic analysis of Ca2+homeostasis inSaccharomyces cerevisiaebased on chemical-genetic interaction profiles. Molecular Biology of the Cell. 28(23). 3415–3427. 9 indexed citations
13.
Ohya, Yoshikazu, Yoshitaka Kimori, Hiroki Okada, & Shinsuke Ohnuki. (2015). Single-cell phenomics in budding yeast. Molecular Biology of the Cell. 26(22). 3920–3925. 18 indexed citations
14.
Okada, Hiroki, Shinsuke Ohnuki, & Yoshikazu Ohya. (2015). Quantification of Cell, Actin, and Nuclear DNA Morphology with High-Throughput Microscopy and CalMorph. Cold Spring Harbor Protocols. 2015(4). pdb.prot078667–pdb.prot078667. 7 indexed citations
15.
Yang, Ming, Shinsuke Ohnuki, & Yoshikazu Ohya. (2014). Unveiling nonessential gene deletions that confer significant morphological phenotypes beyond natural yeast strains. BMC Genomics. 15(1). 932–932. 21 indexed citations
16.
Yvert, Gaël, Shinsuke Ohnuki, Satoru Nogami, et al.. (2013). Single-cell phenomics reveals intra-species variation of phenotypic noise in yeast. BMC Systems Biology. 7(1). 54–54. 53 indexed citations
17.
18.
Ohnuki, Shinsuke, et al.. (2013). Image-Based Monitoring System for Green Algal Haematococcus pluvialis (Chlorophyceae) Cells during Culture. Plant and Cell Physiology. 54(11). 1917–1929. 11 indexed citations
19.
Ohnuki, Shinsuke, et al.. (2013). Dynamic changes in brewing yeast cells in culture revealed by statistical analyses of yeast morphological data. Journal of Bioscience and Bioengineering. 117(3). 278–284. 11 indexed citations
20.
Ohnuki, Shinsuke, Satoru Nogami, & Yoshikazu Ohya. (2009). A microfluidic device to acquire high-magnification microphotographs of yeast cells. Cell Division. 4(1). 5–5. 11 indexed citations

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.

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