Toshihiro Aoyama

644 total citations
37 papers, 506 citations indexed

About

Toshihiro Aoyama is a scholar working on Molecular Biology, Infectious Diseases and Mechanics of Materials. According to data from OpenAlex, Toshihiro Aoyama has authored 37 papers receiving a total of 506 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 10 papers in Infectious Diseases and 8 papers in Mechanics of Materials. Recurrent topics in Toshihiro Aoyama's work include Antifungal resistance and susceptibility (10 papers), Metal and Thin Film Mechanics (7 papers) and Diamond and Carbon-based Materials Research (6 papers). Toshihiro Aoyama is often cited by papers focused on Antifungal resistance and susceptibility (10 papers), Metal and Thin Film Mechanics (7 papers) and Diamond and Carbon-based Materials Research (6 papers). Toshihiro Aoyama collaborates with scholars based in Japan, United States and Portugal. Toshihiro Aoyama's co-authors include Yoke Khin Yap, Yusuke Mori, T. Sasaki, Hiroji Chibana, Hironobu Nakayama, Koichi Tanabe, Martin Bard, Minoru Nagi, Keigo Ueno and Masakazu Niimi and has published in prestigious journals such as Journal of Biological Chemistry, Applied Physics Letters and Genetics.

In The Last Decade

Toshihiro Aoyama

35 papers receiving 494 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Toshihiro Aoyama Japan 14 171 167 127 112 86 37 506
Yaya Liu United States 17 232 1.4× 236 1.4× 31 0.2× 176 1.6× 12 0.1× 34 722
Xiaohua Wang China 11 51 0.3× 123 0.7× 104 0.8× 21 0.2× 11 0.1× 38 632
Stefano Elli Italy 14 39 0.2× 256 1.5× 115 0.9× 65 0.6× 58 0.7× 39 683
Maninder Hora United States 12 32 0.2× 440 2.6× 33 0.3× 54 0.5× 12 0.1× 14 826
Evelin Witkowska Poland 17 47 0.3× 337 2.0× 114 0.9× 24 0.2× 9 0.1× 31 925
Dipesh Khanal Australia 17 25 0.1× 311 1.9× 203 1.6× 20 0.2× 10 0.1× 41 957
Chien-Chun Wang Taiwan 11 37 0.2× 96 0.6× 54 0.4× 41 0.4× 4 0.0× 21 394
Atsushi Furukawa Japan 11 170 1.0× 185 1.1× 28 0.2× 55 0.5× 10 0.1× 39 579
Zhengzheng Zhang China 16 37 0.2× 211 1.3× 123 1.0× 108 1.0× 3 0.0× 44 668
Ivan Štěpánek Czechia 13 29 0.2× 185 1.1× 45 0.4× 16 0.1× 26 0.3× 17 416

Countries citing papers authored by Toshihiro Aoyama

Since Specialization
Citations

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

Fields of papers citing papers by Toshihiro Aoyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Toshihiro Aoyama

This figure shows the co-authorship network connecting the top 25 collaborators of Toshihiro Aoyama. A scholar is included among the top collaborators of Toshihiro Aoyama 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 Toshihiro Aoyama. Toshihiro Aoyama 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.
Okamoto, Michiyo, Azusa Takahashi‐Nakaguchi, Kaname Sasamoto, et al.. (2022). Erg25 Controls Host-Cholesterol Uptake Mediated by Aus1p-Associated Sterol-Rich Membrane Domains in Candida glabrata. Frontiers in Cell and Developmental Biology. 10. 820675–820675. 11 indexed citations
2.
Wang, Can, Leonel Pereira, Sónia Silva, et al.. (2017). The CgHaa1-Regulon Mediates Response and Tolerance to Acetic Acid Stress in the Human Pathogen Candida glabrata. G3 Genes Genomes Genetics. 7(1). 1–18. 24 indexed citations
3.
Yamaguchi, Masashi, Toshihiro Aoyama, Norihiro Yamada, & Hiroji Chibana. (2016). Quantitative measurement of hydrophilicity/hydrophobicity of the plasma-polymerized naphthalene film (Super Support Film) and other support films and grids in electron microscopy. Microscopy. 65(5). 444–450. 6 indexed citations
4.
Aoyama, Toshihiro, Hironobu Nakayama, Keigo Ueno, et al.. (2014). Genome‐wide survey of transcriptional initiation in the pathogenic fungus, Candida glabrata. Genes to Cells. 19(6). 478–503. 8 indexed citations
5.
Nagi, Minoru, Akihiro Morita, Koichi Tanabe, et al.. (2014). The mannoprotein TIR3 (CAGL0C03872g) is required for sterol uptake in Candida glabrata. Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids. 1851(2). 141–151. 7 indexed citations
6.
Nagi, Minoru, Hironobu Nakayama, Koichi Tanabe, et al.. (2010). Transcription factors CgUPC2A and CgUPC2B regulate ergosterol biosynthetic genes in Candida glabrata. Genes to Cells. 16(1). 80–89. 47 indexed citations
7.
Nakayama, Hironobu, Keigo Ueno, Jun Uno, et al.. (2010). Growth defects resulting from inhibiting ERG20 and RAM2 in Candida glabrata. FEMS Microbiology Letters. 317(1). 27–33. 16 indexed citations
8.
Nakayama, Hironobu & Toshihiro Aoyama. (2008). Molecular Biology for Medical Mycology. Nippon Ishinkin Gakkai Zasshi. 49(2). 131–136. 1 indexed citations
9.
Aoyama, Toshihiro, et al.. (2008). Farnesol as a Quorum-sensing Molecule in Candida albicans. Nippon Ishinkin Gakkai Zasshi. 49(4). 281–286. 7 indexed citations
10.
Aoyama, Toshihiro, et al.. (2007). Transcriptional Changes in Candida albicans Genes by Both Farnesol and High Cell Density at an Early Stage of Morphogenesis in N-acetyl-D-glucosamine Medium. Nippon Ishinkin Gakkai Zasshi. 48(4). 159–167. 19 indexed citations
11.
Nakayama, Hironobu, Koichi Tanabe, Martin Bard, et al.. (2007). The Candida glabrata putative sterol transporter gene CgAUS1 protects cells against azoles in the presence of serum. Journal of Antimicrobial Chemotherapy. 60(6). 1264–1272. 59 indexed citations
13.
Yap, Yoke Khin, Toshihiro Aoyama, Yasaku Wada, et al.. (2000). Growth of adhesive c-BN films on a tensile BN buffer layer. Diamond and Related Materials. 9(3-6). 592–595. 18 indexed citations
14.
Yap, Yoke Khin, et al.. (1999). Carbon nitride thin films synthesized at high temperature by using RF-plasma PLD. Journal of Crystal Growth. 198-199. 1028–1031. 10 indexed citations
15.
Yap, Yoke Khin, et al.. (1999). Synthesis of adhesive c-BN films in pure nitrogen radio-frequency plasma. Diamond and Related Materials. 8(2-5). 382–385. 12 indexed citations
17.
Aikawa, Nobuyuki & Toshihiro Aoyama. (1983). Deformation of granitic rocks along the Median Tectonic Line. Journal of the Mineralogical Society of Japan. 16(Special). 251–255. 2 indexed citations
18.
Sato, Takuo, Keishi Suzuki, Toshihiro Aoyama, & Hiroshi Ono. (1983). VERAPAMIL‐INDUCED CONTRACTURE IN AN EXCISED, BLOOD‐PERFUSED SKELETAL MUSCLE PREPARATION FROM THE DOG. Clinical and Experimental Pharmacology and Physiology. 10(5). 505–509. 2 indexed citations
19.
Aoyama, Toshihiro, et al.. (1965). ON RECOVERY-PROMOTING CHEMICALS AFTER GAMMA-RAY IRRADIATION TO MOUSE STRAIN L CELLS CULTURED IN VITRO. 1 indexed citations
20.
Ueno, Yoshifumi, et al.. (1964). RADIOSENSITIVITY AND SH COMPOUNDS IN MAMMALIAN CELLS.. PubMed. 10. 39–44. 3 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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