Tomoo Ogata

774 total citations
40 papers, 481 citations indexed

About

Tomoo Ogata is a scholar working on Molecular Biology, Food Science and Biomedical Engineering. According to data from OpenAlex, Tomoo Ogata has authored 40 papers receiving a total of 481 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 25 papers in Food Science and 17 papers in Biomedical Engineering. Recurrent topics in Tomoo Ogata's work include Fungal and yeast genetics research (26 papers), Fermentation and Sensory Analysis (23 papers) and Biofuel production and bioconversion (16 papers). Tomoo Ogata is often cited by papers focused on Fungal and yeast genetics research (26 papers), Fermentation and Sensory Analysis (23 papers) and Biofuel production and bioconversion (16 papers). Tomoo Ogata collaborates with scholars based in Japan, Finland and United States. Tomoo Ogata's co-authors include Yasushi Kitagawa, Kazuhisa Sakai, Shizuka Asano, Koji Suzuki, Kazumaru Iijima, Akira Kimura, Kunihiko Watanabe, Yasuyuki Ohtake, Kousaku Murata and Masahiko Izumikawa and has published in prestigious journals such as Journal of Applied Microbiology, INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY and Systematic and Applied Microbiology.

In The Last Decade

Tomoo Ogata

38 papers receiving 442 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tomoo Ogata Japan 15 368 315 138 79 41 40 481
Melanie Wijsman Netherlands 9 677 1.8× 184 0.6× 114 0.8× 172 2.2× 64 1.6× 11 786
Niels G. A. Kuijpers Netherlands 12 825 2.2× 213 0.7× 142 1.0× 225 2.8× 78 1.9× 14 918
Claude Gaillardin France 9 686 1.9× 145 0.5× 90 0.7× 195 2.5× 53 1.3× 10 751
Michaela Novodvorska United Kingdom 9 252 0.7× 190 0.6× 124 0.9× 80 1.0× 69 1.7× 10 414
Gang Gao China 12 202 0.5× 103 0.3× 283 2.1× 14 0.2× 42 1.0× 46 511
Ana Cristina Adam Spain 12 300 0.8× 141 0.4× 92 0.7× 137 1.7× 115 2.8× 21 441
Sandrine Mallet France 7 370 1.0× 333 1.1× 236 1.7× 38 0.5× 29 0.7× 7 498
Sofia Dashko Netherlands 8 335 0.9× 243 0.8× 139 1.0× 87 1.1× 50 1.2× 11 512
G. G. Stewart United Kingdom 13 272 0.7× 271 0.9× 132 1.0× 125 1.6× 55 1.3× 17 439

Countries citing papers authored by Tomoo Ogata

Since Specialization
Citations

This map shows the geographic impact of Tomoo Ogata'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 Tomoo Ogata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomoo Ogata more than expected).

Fields of papers citing papers by Tomoo Ogata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tomoo Ogata. 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 Tomoo Ogata. The network helps show where Tomoo Ogata may publish in the future.

Co-authorship network of co-authors of Tomoo Ogata

This figure shows the co-authorship network connecting the top 25 collaborators of Tomoo Ogata. A scholar is included among the top collaborators of Tomoo Ogata 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 Tomoo Ogata. Tomoo Ogata 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.
Ogata, Tomoo, et al.. (2024). CRISPR-Cas9 genome editing of miso and soy source yeast <i>Zygosaccharomyces</i> sp.. The Journal of General and Applied Microbiology. 70(5). n/a–n/a.
2.
Fujiwara, Tomoko, et al.. (2022). Isolation and characterization of <i>Zygosaccharomyces</i> sp. yeast strains from miso. The Journal of General and Applied Microbiology. 68(6). 295–302. 1 indexed citations
3.
Ogata, Tomoo. (2019). Breeding of Sake, Brewing, Miso and Soy Sauce Yeast Strains by Mating. JOURNAL OF THE BREWING SOCIETY OF JAPAN. 114(9). 534–539.
4.
Ogata, Tomoo, et al.. (2018). Variations in mating-type-like (<i>MTL</i>) loci direct PCR-based tracking of <i>Zygosaccharomyces</i> strains formed by mating. The Journal of General and Applied Microbiology. 64(3). 127–135. 4 indexed citations
5.
Ogata, Tomoo, et al.. (2017). Construction of a brewing yeast expressing the glucoamylase geneSTA1by mating. Journal of the Institute of Brewing. 123(1). 66–69. 10 indexed citations
6.
Yokoyama, Ryo, et al.. (2012). Construction of a URA3 deletion strain from the allotetraploid bottom‐fermenting yeast Saccharomyces pastorianus. Yeast. 29(5). 155–165. 14 indexed citations
7.
Ogata, Tomoo, et al.. (2010). Construction and evaluation of self-cloning bottom-fermenting yeast with high SSU1 expression. Journal of Applied Microbiology. 109(6). 1906–1913. 20 indexed citations
8.
Ohnuki, Shinsuke, et al.. (2010). Role of bottom-fermenting brewer's yeast KEX2 in high temperature resistance and poor proliferation at low temperatures. The Journal of General and Applied Microbiology. 56(4). 297–312. 16 indexed citations
9.
Iijima, Kazumaru, Koji Suzuki, Shizuka Asano, Tomoo Ogata, & Yasushi Kitagawa. (2009). HorC, a Hop-Resistance Related Protein, Presumably Functions in Homodimer Form. Bioscience Biotechnology and Biochemistry. 73(8). 1880–1882. 9 indexed citations
10.
Ogata, Tomoo, et al.. (2009). Chimeric types of chromosome X in bottom-fermenting yeasts. Journal of Applied Microbiology. 107(4). 1098–1107. 2 indexed citations
11.
Asano, Shizuka, et al.. (2009). Rapid detection and identification of beer-spoilage lactic acid bacteria by microcolony method. Journal of Bioscience and Bioengineering. 108(2). 124–129. 30 indexed citations
12.
Ogata, Tomoo, et al.. (2008). Chromosomal location of Lg-FLO1in bottom-fermenting yeast and theFLO5locus of industrial yeast. Journal of Applied Microbiology. 105(4). 1186–1198. 25 indexed citations
13.
Iijima, Kazumaru, Shizuka Asano, Koji Suzuki, Tomoo Ogata, & Yasushi Kitagawa. (2008). Modified Multiplex PCR Methods for Comprehensive Detection ofPectinatusand Beer-Spoilage Cocci. Bioscience Biotechnology and Biochemistry. 72(10). 2764–2766. 21 indexed citations
14.
Ogata, Tomoo, et al.. (2000). 16S-23S rDNA spacer of Pectinatus, Selenomonas and Zymophilus reveal new phylogenetic relationships between these genera.. INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY. 50(2). 883–886. 16 indexed citations
15.
Ogata, Tomoo, et al.. (2000). Detection of Pectinatus spp. by PCR Using 16S-23S rDNA Spacer Regions. Journal of the American Society of Brewing Chemists. 58(1). 4–7. 19 indexed citations
16.
Ogata, Tomoo, et al.. (2000). Characterization of Lactobacillus spp. by Ribotyping. Journal of the American Society of Brewing Chemists. 58(1). 1–3. 10 indexed citations
17.
Ogata, Tomoo, et al.. (1999). Chromosomal Structures of Bottom Fermenting Yeasts. Systematic and Applied Microbiology. 22(3). 341–353. 58 indexed citations
18.
Ogata, Tomoo, et al.. (1999). Differentiation between brewing and non-brewing yeasts using a combination of PCR and RFLP. Journal of Applied Microbiology. 86(3). 505–513. 23 indexed citations
19.
Ogata, Tomoo, et al.. (1995). Development of an integrative DNA transformation system for the yeast Hansenula anomala. Journal of Fermentation and Bioengineering. 79(1). 1–5. 10 indexed citations
20.
Ogata, Tomoo, et al.. (1986). DNA-DNA homology between plasmid pVA 318 and Streptococcus mutans chromosomal DNA.. PubMed. 12(1). 60–4. 2 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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