Takahiro Oura

490 total citations
18 papers, 392 citations indexed

About

Takahiro Oura is a scholar working on Molecular Biology, Infectious Diseases and Biochemistry. According to data from OpenAlex, Takahiro Oura has authored 18 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 6 papers in Infectious Diseases and 5 papers in Biochemistry. Recurrent topics in Takahiro Oura's work include Microbial Metabolic Engineering and Bioproduction (7 papers), Antifungal resistance and susceptibility (6 papers) and Lipid metabolism and biosynthesis (5 papers). Takahiro Oura is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (7 papers), Antifungal resistance and susceptibility (6 papers) and Lipid metabolism and biosynthesis (5 papers). Takahiro Oura collaborates with scholars based in Japan, New Zealand and China. Takahiro Oura's co-authors include Susumu Kajiwara, Susumu Kajiwara, Somay Yamagata Murayama, Hiromichi Sakai, Kyoko Watanabe, Takashi Umeyama, Masakazu Niimi, Hironobu Nakayama, Kazuo Shishido and Shun Iwatani and has published in prestigious journals such as Molecular Microbiology, Microbiology and Journal of Biotechnology.

In The Last Decade

Takahiro Oura

18 papers receiving 388 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Takahiro Oura Japan 11 209 126 113 90 69 18 392
Takashi Hashida-Okado Japan 8 184 0.9× 92 0.7× 47 0.4× 8 0.1× 74 1.1× 8 346
Wen‐Shen Chu Taiwan 13 303 1.4× 79 0.6× 108 1.0× 42 0.5× 104 1.5× 33 511
S Roychoudhury United States 10 389 1.9× 47 0.4× 54 0.5× 45 0.5× 49 0.7× 12 600
Antonia Geber United States 8 167 0.8× 239 1.9× 364 3.2× 8 0.1× 68 1.0× 10 562
Marie Kodedová Czechia 9 203 1.0× 44 0.3× 82 0.7× 15 0.2× 62 0.9× 16 329
Soma Sen Gupta United States 6 182 0.9× 118 0.9× 144 1.3× 11 0.1× 61 0.9× 10 379
Elena Shekhova United Kingdom 8 154 0.7× 166 1.3× 233 2.1× 5 0.1× 91 1.3× 10 451
Gwenaëlle André France 11 226 1.1× 57 0.5× 100 0.9× 13 0.1× 110 1.6× 22 458
Martin Zavřel Czechia 14 257 1.2× 123 1.0× 212 1.9× 9 0.1× 121 1.8× 17 494
Nitesh Khandelwal India 13 196 0.9× 206 1.6× 268 2.4× 10 0.1× 91 1.3× 27 552

Countries citing papers authored by Takahiro Oura

Since Specialization
Citations

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

Fields of papers citing papers by Takahiro Oura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takahiro Oura

This figure shows the co-authorship network connecting the top 25 collaborators of Takahiro Oura. A scholar is included among the top collaborators of Takahiro Oura 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 Takahiro Oura. Takahiro Oura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Oura, Takahiro, Shun Iwatani, Kyoko Niimi, et al.. (2021). Candida albicans Bgl2p, Ecm33p, and Als1p proteins are involved in adhesion to saliva-coated hydroxyapatite. Journal of Oral Microbiology. 13(1). 1879497–1879497. 9 indexed citations
2.
Hasegawa, Satoru, Yusuke Nakayama, Hironobu Nakayama, et al.. (2019). Identification and functional characterization of Candida albicans mannose–ethanolamine phosphotransferase (Mcd4p). Current Genetics. 65(5). 1251–1261. 5 indexed citations
3.
Iwatani, Shun, Takahiro Oura, Nongnuch Vanittanakom, et al.. (2016). Identification and functional characterization ofPenicillium marneffeipleiotropic drug resistance transportersABC1andABC2. Medical Mycology. 54(5). 478–491. 9 indexed citations
4.
Iwatani, Shun, Takahiro Oura, Yasuyuki Tomita, et al.. (2016). Identification and characterization ofCandida utilismultidrug efflux transporterCuCdr1p. FEMS Yeast Research. 16(4). fow042–fow042. 13 indexed citations
5.
Nagi, Minoru, Koichi Tanabe, Keigo Ueno, et al.. (2013). The Candida glabrata sterol scavenging mechanism, mediated by the ATP‐binding cassette transporter Aus1p, is regulated by iron limitation. Molecular Microbiology. 88(2). 371–381. 29 indexed citations
6.
Nagi, Minoru, Koichi Tanabe, Satoshi Yamagoe, et al.. (2012). Serum cholesterol promotes the growth of Candida glabrata in the presence of fluconazole. Journal of Infection and Chemotherapy. 19(1). 138–143. 8 indexed citations
7.
Xu, Jingyang, et al.. (2011). [Heat-alkaline treatment of excess sludge and the potential use of hydrolysate as nitrogen source for microbial lipid production].. PubMed. 27(3). 482–8. 5 indexed citations
8.
Oura, Takahiro, et al.. (2011). Purification and characterization of a secretory lipolytic enzyme, MgLIP2, from Malassezia globosa. Microbiology. 157(12). 3492–3499. 19 indexed citations
9.
Oura, Takahiro & Susumu Kajiwara. (2009). Candida albicans sphingolipid C9-methyltransferase is involved in hyphal elongation. Microbiology. 156(4). 1234–1243. 60 indexed citations
10.
Oura, Takahiro & Susumu Kajiwara. (2008). Substrate Specificity and Regioselectivity of Δ12 and ω3 Fatty Acid Desaturases fromSaccharomyces kluyveri. Bioscience Biotechnology and Biochemistry. 72(12). 3174–3179. 14 indexed citations
11.
Li, Qiang, et al.. (2008). Improvement of lipid accumulation in an oleaginous yeast. Journal of Biotechnology. 136. S415–S415. 1 indexed citations
12.
Oura, Takahiro, et al.. (2008). The lipolytic enzymes activities ofMalasseziaspecies. Medical Mycology. 47(5). 477–484. 62 indexed citations
13.
Oura, Takahiro & Susumu Kajiwara. (2008). Disruption of the sphingolipid Δ8-desaturase gene causes a delay in morphological changes in Candida albicans. Microbiology. 154(12). 3795–3803. 48 indexed citations
14.
Murayama, Somay Yamagata, Takashi Umeyama, Aki Kaneko, et al.. (2006). Construction and functional analysis of fatty acid desaturase gene disruptants in Candida albicans. Microbiology. 152(5). 1551–1558. 21 indexed citations
15.
Oura, Takahiro & Susumu Kajiwara. (2006). Cloning and functional characterization of a fatty acid synthase component FAS2 gene from Saccharomyces kluyveri. Current Genetics. 49(6). 393–402. 3 indexed citations
16.
Watanabe, Kyoko, Takahiro Oura, Hiromichi Sakai, & Susumu Kajiwara. (2004). Yeast Δ12 Fatty Acid Desaturase: Gene Cloning, Expression, and Function. Bioscience Biotechnology and Biochemistry. 68(3). 721–727. 37 indexed citations
17.
Oura, Takahiro & Susumu Kajiwara. (2004). Saccharomyces kluyveri FAD3 encodes an ω3 fatty acid desaturase. Microbiology. 150(6). 1983–1990. 37 indexed citations
18.
Kajiwara, Susumu, Takahiro Oura, & Kazuo Shishido. (2001). Cloning of a fatty acid synthase component FAS1 gene from Saccharomyces kluyveri and its functional complementation of S. cerevisiae fas1 mutant. Yeast. 18(14). 1339–1345. 12 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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