Keigo Ueno

1.9k total citations
70 papers, 1.4k citations indexed

About

Keigo Ueno is a scholar working on Infectious Diseases, Epidemiology and Molecular Biology. According to data from OpenAlex, Keigo Ueno has authored 70 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Infectious Diseases, 33 papers in Epidemiology and 15 papers in Molecular Biology. Recurrent topics in Keigo Ueno's work include Antifungal resistance and susceptibility (28 papers), Fungal Infections and Studies (21 papers) and Bacterial Identification and Susceptibility Testing (14 papers). Keigo Ueno is often cited by papers focused on Antifungal resistance and susceptibility (28 papers), Fungal Infections and Studies (21 papers) and Bacterial Identification and Susceptibility Testing (14 papers). Keigo Ueno collaborates with scholars based in Japan, United States and New Zealand. Keigo Ueno's co-authors include Yoshitsugu Miyazaki, Hiroji Chibana, Yuki Kinjo, K Watanabe, Haru Kato, Jun Uno, Naoya Kato, Hironobu Nakayama, Yoshinori Muto and Kaname Sasamoto and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Applied and Environmental Microbiology.

In The Last Decade

Keigo Ueno

69 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Keigo Ueno Japan 21 753 644 379 164 162 70 1.4k
Éric Abachin France 16 404 0.5× 445 0.7× 258 0.7× 144 0.9× 139 0.9× 31 1.5k
Ayşe Kalkancı Türkiye 22 741 1.0× 560 0.9× 255 0.7× 66 0.4× 93 0.6× 109 1.4k
R. Grillot France 26 1.6k 2.1× 1.2k 1.9× 192 0.5× 108 0.7× 111 0.7× 77 2.2k
Meera Unnikrishnan United Kingdom 22 926 1.2× 401 0.6× 688 1.8× 172 1.0× 80 0.5× 35 1.7k
Joseph M. Bliss United States 22 751 1.0× 673 1.0× 329 0.9× 201 1.2× 89 0.5× 53 1.7k
Athanasios Tragiannidis Greece 19 589 0.8× 586 0.9× 241 0.6× 77 0.5× 180 1.1× 89 1.5k
Eun Jeong Won South Korea 22 817 1.1× 613 1.0× 234 0.6× 164 1.0× 119 0.7× 111 1.5k
Shu Okugawa Japan 19 416 0.6× 316 0.5× 490 1.3× 474 2.9× 84 0.5× 88 1.5k
Marilena La Sorda Italy 16 1.1k 1.4× 869 1.3× 243 0.6× 57 0.3× 81 0.5× 31 1.4k
D T Durack United States 19 1.1k 1.5× 1.4k 2.2× 184 0.5× 153 0.9× 92 0.6× 23 1.9k

Countries citing papers authored by Keigo Ueno

Since Specialization
Citations

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

Fields of papers citing papers by Keigo Ueno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keigo Ueno

This figure shows the co-authorship network connecting the top 25 collaborators of Keigo Ueno. A scholar is included among the top collaborators of Keigo Ueno 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 Keigo Ueno. Keigo Ueno 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.
Akiyama, Yutaro, Keigo Ueno, Yasutaka Hoshino, et al.. (2024). Progressive Severe Hemophagocytic Syndrome due to Disseminated Histoplasmosis in a Patient with HIV-1 Infection. Internal Medicine. 64(7). 1113–1118. 1 indexed citations
2.
Ueno, Keigo, Michiyo Kataoka, Kiminori Shimizu, et al.. (2023). Cryptococcus neoformans requires the TVF1 gene for thermotolerance and virulence. Medical Mycology. 61(10). 4 indexed citations
3.
Ueno, Keigo, et al.. (2023). Promising whole‐cell vaccines against cryptococcosis. Microbiology and Immunology. 67(5). 211–223. 3 indexed citations
4.
Ueno, Keigo & Yoshitsugu Miyazaki. (2023). Detrimental impact of the IL-33/ST2 axis in an animal infection model with Cryptococcus neoformans. Allergology International. 72(4). 530–536. 6 indexed citations
5.
Nagi, Minoru, Koichi Tanabe, Kazuko Tanaka, et al.. (2022). Exhibition of antifungal resistance by sterol-auxotrophic strains ofCandida glabratawith intact virulence. JAC-Antimicrobial Resistance. 4(1). dlac018–dlac018. 2 indexed citations
6.
Ueno, Keigo, Makoto Urai, Kumi Izawa, et al.. (2018). Mouse LIMR3/CD300f is a negative regulator of the antimicrobial activity of neutrophils. Scientific Reports. 8(1). 17406–17406. 9 indexed citations
7.
Kinjo, Yuki, Shogo Takatsuka, Naoki Kitano, et al.. (2018). Functions of CD1d-Restricted Invariant Natural Killer T Cells in Antimicrobial Immunity and Potential Applications for Infection Control. Frontiers in Immunology. 9. 1266–1266. 20 indexed citations
8.
Ueno, Keigo, Makoto Urai, Minoru Shinozaki, et al.. (2018). A dendritic cell-based systemic vaccine induces long-lived lung-resident memory Th17 cells and ameliorates pulmonary mycosis. Mucosal Immunology. 12(1). 265–276. 27 indexed citations
9.
Ueno, Keigo, Makoto Urai, Shogo Takatsuka, et al.. (2017). Immunization with Antigen-Pulsed Dendritic Cells Against Highly Virulent Cryptococcus gattii Infection: Analysis of Cytokine-Producing T Cells. Methods in molecular biology. 1625. 327–339. 5 indexed citations
10.
Ikeda-Dantsuji, Yurika, Hideaki Ohno, Koichi Tanabe, et al.. (2015). Interferon-γ promotes phagocytosis of Cryptococcus neoformans but not Cryptococcus gattii by murine macrophages. Journal of Infection and Chemotherapy. 21(12). 831–836. 15 indexed citations
11.
Niimi, Kyoko, Katsuyuki Maki, Hironobu Nakayama, et al.. (2012). Reconstitution of high-level micafungin resistance detected in a clinical isolate of Candida glabrata identifies functional homozygosity in glucan synthase gene expression. Journal of Antimicrobial Chemotherapy. 67(7). 1666–1676. 18 indexed citations
12.
Ueno, Keigo, Akiko Okawara, Satoshi Yamagoe, et al.. (2012). The mannan ofCandida albicanslacking β-1,2-linked oligomannosides increases the production of inflammatory cytokines by dendritic cells. Medical Mycology. 51(4). 385–395. 20 indexed citations
13.
Ueno, Keigo, Yasuhiko Matsumoto, Jun Uno, et al.. (2011). Intestinal Resident Yeast Candida glabrata Requires Cyb2p-Mediated Lactate Assimilation to Adapt in Mouse Intestine. PLoS ONE. 6(9). e24759–e24759. 88 indexed citations
14.
Ueno, Keigo, et al.. (2011). Differential cell wall remodeling of two chitin synthase deletants Δchs3A and Δchs3B in the pathogenic yeast Candida glabrata. FEMS Yeast Research. 11(5). 398–407. 16 indexed citations
15.
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
16.
17.
Kato, Naoki, et al.. (1996). Vaginal Microflora Associated with Bacterial Vaginosis in Japanese and Thai Pregnant Women. Clinical Infectious Diseases. 23(4). 748–752. 37 indexed citations
18.
Muto, Yoshinori, et al.. (1995). Sphingolipid Composition in Bacteroides Species. Anaerobe. 1(2). 135–139. 72 indexed citations
19.
20.
Watanabe, K, Keigo Ueno, Naoya Kato, et al.. (1992). In vitro susceptibility of clinical isolates ofBacteroides fragilis andBacteroides thetaiotaomicron in Japan. European Journal of Clinical Microbiology & Infectious Diseases. 11(11). 1069–1073. 7 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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