Mitsuyoshi Ueda

907 total citations
44 papers, 687 citations indexed

About

Mitsuyoshi Ueda is a scholar working on Molecular Biology, Biomedical Engineering and Infectious Diseases. According to data from OpenAlex, Mitsuyoshi Ueda has authored 44 papers receiving a total of 687 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 10 papers in Biomedical Engineering and 5 papers in Infectious Diseases. Recurrent topics in Mitsuyoshi Ueda's work include Microbial Metabolic Engineering and Bioproduction (15 papers), Biofuel production and bioconversion (7 papers) and Fungal and yeast genetics research (6 papers). Mitsuyoshi Ueda is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (15 papers), Biofuel production and bioconversion (7 papers) and Fungal and yeast genetics research (6 papers). Mitsuyoshi Ueda collaborates with scholars based in Japan, Poland and United States. Mitsuyoshi Ueda's co-authors include Wataru Aoki, Kouichi Kuroda, Shunsuke Aburaya, Atsuo Tanaka, Natsuko Miura, Maria Rąpała‐Kozik, Toshiyuki Takagi, Andrzej Kozik, Keisuke Motone and Oliwia Bocheńska and has published in prestigious journals such as Nature Communications, Applied and Environmental Microbiology and Scientific Reports.

In The Last Decade

Mitsuyoshi Ueda

44 papers receiving 679 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mitsuyoshi Ueda Japan 16 347 112 92 80 77 44 687
Xinheng Yu United States 10 336 1.0× 107 1.0× 97 1.1× 49 0.6× 60 0.8× 12 638
Anming Xiong United States 19 391 1.1× 143 1.3× 109 1.2× 32 0.4× 141 1.8× 22 931
Shunsuke Aburaya Japan 15 404 1.2× 57 0.5× 262 2.8× 147 1.8× 74 1.0× 40 827
Michel Heusterspreute Belgium 17 546 1.6× 60 0.5× 49 0.5× 158 2.0× 68 0.9× 31 1.0k
Antonio L. C. Gomes United States 14 484 1.4× 107 1.0× 26 0.3× 98 1.2× 69 0.9× 31 691
Je‐Nie Phue United States 15 599 1.7× 105 0.9× 55 0.6× 73 0.9× 103 1.3× 28 829
J. Bertram Germany 13 452 1.3× 51 0.5× 103 1.1× 54 0.7× 53 0.7× 26 755
Kęstutis Sužiedėlis Lithuania 16 526 1.5× 38 0.3× 32 0.3× 44 0.6× 52 0.7× 48 920
Martín A. Rossotti Canada 17 493 1.4× 81 0.7× 166 1.8× 78 1.0× 124 1.6× 37 805
Stéphane Bernatchez Canada 12 307 0.9× 85 0.8× 82 0.9× 93 1.2× 69 0.9× 13 698

Countries citing papers authored by Mitsuyoshi Ueda

Since Specialization
Citations

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

Fields of papers citing papers by Mitsuyoshi Ueda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mitsuyoshi Ueda

This figure shows the co-authorship network connecting the top 25 collaborators of Mitsuyoshi Ueda. A scholar is included among the top collaborators of Mitsuyoshi Ueda 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 Mitsuyoshi Ueda. Mitsuyoshi Ueda 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.
2.
Aoki, Wataru, et al.. (2022). Production of Single-Domain Antibodies in Pichia pastoris. Methods in molecular biology. 2446. 181–203. 3 indexed citations
3.
Hibi, Makoto, Ryotaro Hara, Michiki Takeuchi, et al.. (2021). A three-component monooxygenase from Rhodococcus wratislaviensis may expand industrial applications of bacterial enzymes. Communications Biology. 4(1). 16–16. 6 indexed citations
4.
Watanabe, Yukio, et al.. (2020). Construction of engineered yeast producing ammonia from glutamine and soybean residues (okara). AMB Express. 10(1). 70–70. 15 indexed citations
5.
Tsuji, Takahiro, Hiroaki Ozasa, Wataru Aoki, et al.. (2020). YAP1 mediates survival of ALK-rearranged lung cancer cells treated with alectinib via pro-apoptotic protein regulation. Nature Communications. 11(1). 74–74. 57 indexed citations
6.
Tsuji, Takahiro, Hiroaki Ozasa, Wataru Aoki, et al.. (2018). Alectinib Resistance in ALK-Rearranged Lung Cancer by Dual Salvage Signaling in a Clinically Paired Resistance Model. Molecular Cancer Research. 17(1). 212–224. 41 indexed citations
7.
Motone, Keisuke, Toshiyuki Takagi, Shunsuke Aburaya, et al.. (2018). Protection of Coral Larvae from Thermally Induced Oxidative Stress by Redox Nanoparticles. Marine Biotechnology. 20(4). 542–548. 14 indexed citations
8.
Kuroda, Kouichi & Mitsuyoshi Ueda. (2015). Cellular and molecular engineering of yeastSaccharomyces cerevisiaefor advanced biobutanol production. FEMS Microbiology Letters. 363(3). fnv247–fnv247. 22 indexed citations
9.
Bocheńska, Oliwia, Natalia Wolak, Wataru Aoki, et al.. (2015). Inactivation of α1-proteinase inhibitor by Candida albicans aspartic proteases favors the epithelial and endothelial cell colonization in the presence of neutrophil extracellular traps.. Acta Biochimica Polonica. 63(1). 167–175. 12 indexed citations
10.
Shinohara, Masahiro, Hironobu Morisaka, Hideo Miyake, et al.. (2013). Fixation of CO2 in Clostridium cellulovorans analyzed by 13C-isotopomer-based target metabolomics. AMB Express. 3(1). 61–61. 6 indexed citations
11.
Shibasaki, Seiji, et al.. (2013). An oral vaccine against candidiasis generated by a yeast molecular display system. Pathogens and Disease. 69(3). 262–268. 42 indexed citations
12.
Bocheńska, Oliwia, Maria Rąpała‐Kozik, Natalia Wolak, et al.. (2013). Secreted aspartic peptidases of Candida albicans liberate bactericidal hemocidins from human hemoglobin. Peptides. 48. 49–58. 18 indexed citations
13.
Aoki, Wataru, et al.. (2012). Design of a Novel Antimicrobial Peptide Activated by Virulent Proteases. Chemical Biology & Drug Design. 80(5). 725–733. 6 indexed citations
14.
Aoki, Wataru, et al.. (2012). Time-course proteomic profile ofCandida albicansduring adaptation to a fetal serum. Pathogens and Disease. 67(1). 67–75. 23 indexed citations
15.
Miura, Natsuko, et al.. (2008). Cell-surface modification of non-GMO without chemical treatment by novel GMO-coupled and -separated cocultivation method. Applied Microbiology and Biotechnology. 82(2). 293–301. 4 indexed citations
16.
Fukuda, Hideki, et al.. (2002). Biofuel production process by novel biocatalysts. Journal of Molecular Catalysis B Enzymatic. 17(3-5). 111–111. 2 indexed citations
17.
Atomi, Haruyuki, Ken Umemura, Mitsuyoshi Ueda, & Atsuo Tanaka. (1996). Transcriptional Regulation of Peroxisomal Glyoxylate Cycle Enzymes of an n‐Alkane‐Assimilating Yeast, Candida tropicalis. Annals of the New York Academy of Sciences. 804(1). 684–686. 3 indexed citations
18.
19.
Tanaka, Atsuo, Tatsuo Kurihara, Naoki Kanayama, Haruyuki Atomi, & Mitsuyoshi Ueda. (1995). 3‐Ketoacyl CoA Thiolases of a Yeast, Candida tropicalis. Annals of the New York Academy of Sciences. 750(1). 39–43. 1 indexed citations
20.
Kurihara, Tatsuo, Mitsuyoshi Ueda, Naomi Kamasawa, Masako Osumi, & Atsuo Tanaka. (1992). Physiological Roles of Acetoacetyl-CoA Thiolase in n-Alkane-Utilizable Yeast, Candida tropicalis: Possible Contribution to Alkane Degradation and Sterol Biosynthesis. The Journal of Biochemistry. 112(6). 845–848. 14 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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