Shintaro Shimamura

1.3k total citations
17 papers, 800 citations indexed

About

Shintaro Shimamura is a scholar working on Molecular Biology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Shintaro Shimamura has authored 17 papers receiving a total of 800 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 8 papers in Infectious Diseases and 5 papers in Epidemiology. Recurrent topics in Shintaro Shimamura's work include Antifungal resistance and susceptibility (8 papers), Fungal Infections and Studies (4 papers) and Epigenetics and DNA Methylation (3 papers). Shintaro Shimamura is often cited by papers focused on Antifungal resistance and susceptibility (8 papers), Fungal Infections and Studies (4 papers) and Epigenetics and DNA Methylation (3 papers). Shintaro Shimamura collaborates with scholars based in Japan and United States. Shintaro Shimamura's co-authors include Fuyuki Ishikawa, Y. Miyake, Akira Nabetani, Miki Tamura, Shin Yonehara, Motoki Saito, Haruhiko Koseki, Kyohei Arita, Takeshi Kawamura and Tatsuhiko Kodama and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Shintaro Shimamura

16 papers receiving 795 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shintaro Shimamura Japan 11 581 201 140 117 85 17 800
Varun Aggarwala United States 6 617 1.1× 187 0.9× 146 1.0× 79 0.7× 118 1.4× 6 830
Hung-Ji Tsai United States 12 425 0.7× 64 0.3× 93 0.7× 81 0.7× 116 1.4× 21 638
Yuko Imamura Japan 13 341 0.6× 53 0.3× 45 0.3× 203 1.7× 40 0.5× 37 659
Zhu‐Hong Li United States 19 539 0.9× 86 0.4× 36 0.3× 352 3.0× 48 0.6× 31 890
George Boguslawski United States 17 663 1.1× 52 0.3× 57 0.4× 165 1.4× 41 0.5× 32 914
Monica Ransom United States 9 493 0.8× 32 0.2× 49 0.3× 51 0.4× 33 0.4× 11 653
Marta Melé Spain 12 531 0.9× 43 0.2× 61 0.4× 47 0.4× 85 1.0× 25 750
Yuefeng Sun China 14 259 0.4× 46 0.2× 59 0.4× 84 0.7× 73 0.9× 48 677
Kevin Lu United States 10 251 0.4× 20 0.1× 103 0.7× 67 0.6× 35 0.4× 21 470
Cynthia Portal‐Celhay United States 11 348 0.6× 44 0.2× 196 1.4× 197 1.7× 64 0.8× 14 805

Countries citing papers authored by Shintaro Shimamura

Since Specialization
Citations

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

Fields of papers citing papers by Shintaro Shimamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shintaro Shimamura

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

All Works

17 of 17 papers shown
1.
Miyazaki, Taiga, Shintaro Shimamura, Hironobu Nakayama, et al.. (2025). Mechanisms of multidrug resistance caused by an Ipi1 mutation in the fungal pathogen Candida glabrata. Nature Communications. 16(1). 1023–1023.
2.
Miyazaki, Taiga, Satoshi Mizuta, Yoshimasa Tanaka, et al.. (2020). Novel and potent antimicrobial effects of caspofungin on drug-resistant Candida and bacteria. Scientific Reports. 10(1). 17745–17745. 19 indexed citations
3.
Ito, Yuya, Taiga Miyazaki, Yutaka Tanaka, et al.. (2020). Roles of Elm1 in antifungal susceptibility and virulence in Candida glabrata. Scientific Reports. 10(1). 9789–9789. 5 indexed citations
4.
Hirayama, Tatsuro, Taiga Miyazaki, Yuya Ito, et al.. (2020). Virulence assessment of six major pathogenic Candida species in the mouse model of invasive candidiasis caused by fungal translocation. Scientific Reports. 10(1). 3814–3814. 47 indexed citations
5.
Shimamura, Shintaro, Taiga Miyazaki, Masato Tashiro, et al.. (2019). Autophagy-Inducing Factor Atg1 Is Required for Virulence in the Pathogenic Fungus Candida glabrata. Frontiers in Microbiology. 10. 27–27. 18 indexed citations
6.
Miyazaki, Taiga, Shintaro Shimamura, Hiroshi Nishikawa, et al.. (2019). Vacuolar proton-translocating ATPase is required for antifungal resistance and virulence of Candida glabrata. PLoS ONE. 14(1). e0210883–e0210883. 13 indexed citations
7.
Ashizawa, Nobuyuki, Taiga Miyazaki, Shinichi Abe, et al.. (2019). Evaluation of Candida peritonitis with underlying peritoneal fibrosis and efficacy of micafungin in murine models of intra-abdominal candidiasis. Scientific Reports. 9(1). 9331–9331. 4 indexed citations
8.
Miyazaki, Taiga, Yoshiko Fukuda, Junichi Mitsuyama, et al.. (2019). The Novel Arylamidine T-2307 Selectively Disrupts Yeast Mitochondrial Function by Inhibiting Respiratory Chain Complexes. Antimicrobial Agents and Chemotherapy. 63(8). 53 indexed citations
9.
Miyazaki, Taiga, Shintaro Shimamura, Hironobu Nakayama, et al.. (2017). Unexpected effects of azole transporter inhibitors on antifungal susceptibility in Candida glabrata and other pathogenic Candida species. PLoS ONE. 12(7). e0180990–e0180990. 14 indexed citations
10.
Shimamura, Shintaro, et al.. (2017). A Comparison of Characteristic Properties and Qualitative Difference between Three Kinds of Triamcinolone Acetonide.. PubMed. 42(2). 67–70. 5 indexed citations
11.
Sato, Kousuke, et al.. (2016). An oligodeoxyribonucleotide containing 5-formyl-2′-deoxycytidine (fC) at the CpG site forms a covalent complex with DNA cytosine-5 methyltransferases (DNMTs). Bioorganic & Medicinal Chemistry Letters. 26(22). 5395–5398. 7 indexed citations
12.
Nishikawa, Hiroshi, Taiga Miyazaki, Hironobu Nakayama, et al.. (2016). Roles of vacuolar H+-ATPase in the oxidative stress response ofCandida glabrata. FEMS Yeast Research. 16(5). fow054–fow054. 18 indexed citations
13.
Tanaka, Masamitsu, Shintaro Shimamura, Sei Kuriyama, et al.. (2015). SKAP2 Promotes Podosome Formation to Facilitate Tumor-Associated Macrophage Infiltration and Metastatic Progression. Cancer Research. 76(2). 358–369. 30 indexed citations
14.
Nishiyama, Atsuya, Jafar Sharif, Yoshikazu Johmura, et al.. (2013). Uhrf1-dependent H3K23 ubiquitylation couples maintenance DNA methylation and replication. Nature. 502(7470). 249–253. 280 indexed citations
15.
Shimamura, Shintaro, Kazuki Sasaki, & Masamitsu Tanaka. (2012). The Src Substrate SKAP2 Regulates Actin Assembly by Interacting with WAVE2 and Cortactin Proteins. Journal of Biological Chemistry. 288(2). 1171–1183. 20 indexed citations
16.
Miyake, Y., Akira Nabetani, Shintaro Shimamura, et al.. (2009). RPA-like Mammalian Ctc1-Stn1-Ten1 Complex Binds to Single-Stranded DNA and Protects Telomeres Independently of the Pot1 Pathway. Molecular Cell. 36(2). 193–206. 258 indexed citations
17.
Shimamura, Shintaro & Fuyuki Ishikawa. (2008). Interaction between DNMT1 and DNA replication reactions in the SV40 in vitro replication system. Cancer Science. 99(10). 1960–1966. 9 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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