Torahiko Okubo

927 total citations
62 papers, 686 citations indexed

About

Torahiko Okubo is a scholar working on Molecular Biology, Molecular Medicine and Endocrinology. According to data from OpenAlex, Torahiko Okubo has authored 62 papers receiving a total of 686 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 14 papers in Molecular Medicine and 13 papers in Endocrinology. Recurrent topics in Torahiko Okubo's work include Antibiotic Resistance in Bacteria (14 papers), Legionella and Acanthamoeba research (10 papers) and Reproductive tract infections research (9 papers). Torahiko Okubo is often cited by papers focused on Antibiotic Resistance in Bacteria (14 papers), Legionella and Acanthamoeba research (10 papers) and Reproductive tract infections research (9 papers). Torahiko Okubo collaborates with scholars based in Japan, Uganda and Thailand. Torahiko Okubo's co-authors include Yutaka Tamura, Masaru Usui, Toyotaka Sato, Shin‐ichi Yokota, Akira Fukuda, Hiroyuki Yamaguchi, Junji Matsuo, Nobuhiro Fujii, Shinji Nakamura and Ken Takahashi and has published in prestigious journals such as PLoS ONE, Biochemical and Biophysical Research Communications and Frontiers in Microbiology.

In The Last Decade

Torahiko Okubo

60 papers receiving 672 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Torahiko Okubo Japan 17 300 160 154 137 81 62 686
Juan Manuel Bello–López Mexico 14 208 0.7× 129 0.8× 118 0.8× 131 1.0× 98 1.2× 63 714
Charléric Bornet France 15 432 1.4× 66 0.4× 188 1.2× 174 1.3× 58 0.7× 20 849
Lauren Hittle United States 16 396 1.3× 74 0.5× 153 1.0× 385 2.8× 70 0.9× 29 899
Lifen Hu China 17 288 1.0× 65 0.4× 293 1.9× 226 1.6× 72 0.9× 49 774
Ying Ye China 13 287 1.0× 74 0.5× 226 1.5× 158 1.2× 60 0.7× 35 576
Marius Linkevičius Sweden 12 439 1.5× 179 1.1× 148 1.0× 186 1.4× 50 0.6× 17 667
Pannika R. Niumsup Thailand 18 398 1.3× 112 0.7× 183 1.2× 162 1.2× 137 1.7× 33 667
Raquel Girardello Brazil 13 494 1.6× 131 0.8× 184 1.2× 238 1.7× 17 0.2× 39 724
Muhammad Shafiq China 16 222 0.7× 132 0.8× 106 0.7× 169 1.2× 30 0.4× 83 751
Hsiu‐Mei Wu Taiwan 9 421 1.4× 71 0.4× 247 1.6× 201 1.5× 144 1.8× 9 677

Countries citing papers authored by Torahiko Okubo

Since Specialization
Citations

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

Fields of papers citing papers by Torahiko Okubo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Torahiko Okubo

This figure shows the co-authorship network connecting the top 25 collaborators of Torahiko Okubo. A scholar is included among the top collaborators of Torahiko Okubo 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 Torahiko Okubo. Torahiko Okubo 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.
Li, Ruiyu, Manabu Nagao, Jeewan Thapa, et al.. (2024). Chlamydia trachomatis L2 434/Bu readily activates glycolysis under hypoxia for efficient metabolism. Biochemical and Biophysical Research Communications. 736. 150461–150461.
2.
Mutebi, Francis, Eddie M. Wampande, Sayaka Tsuchida, et al.. (2023). Mastitis on selected farms in Wakiso district, Uganda: Burden, pathogens and predictors of infectivity of antimicrobial resistant bacteria in dairy herds. Veterinary Medicine and Science. 9(5). 2376–2385. 5 indexed citations
3.
4.
Okubo, Torahiko, et al.. (2023). Human pathogenic bacteria on high-touch dry surfaces can be controlled by warming to human-skin temperature under moderate humidity. PLoS ONE. 18(9). e0291765–e0291765. 3 indexed citations
5.
Okubo, Torahiko, Ryosuke Omori, Ayako Kai, et al.. (2021). Usefulness of a 3D-printing air sampler for capturing live airborne bacteria and exploring the environmental factors that can influence bacterial dynamics. Research in Microbiology. 172(6). 103864–103864. 1 indexed citations
6.
Thapa, Jeewan, et al.. (2020). Chlamydia trachomatis isolated from cervicovaginal samples in Sapporo, Japan, reveals the circulation of genetically diverse strains. BMC Infectious Diseases. 20(1). 53–53. 2 indexed citations
7.
8.
Matsuo, Junji, Tomohiro Yamazaki, Yoshikazu Furuta, et al.. (2020). Distribution of amoebal endosymbiotic environmental chlamydia Neochlamydia S13 via amoebal cytokinesis. Microbiology and Immunology. 65(3). 115–124.
9.
Okubo, Torahiko, Sumio Iwasaki, Kasumi Hayasaka, et al.. (2018). Analysis of adult damselfly fecal material aids in the estimation of antibiotic-resistant Enterobacterales contamination of the local environment. PeerJ. 6. e5755–e5755. 1 indexed citations
10.
Taki, Keisuke, Takanori Watanabe, Junji Matsuo, et al.. (2018). Impact of bacterial traces belonging to the Enterobacteriaceae on the prevalence of Chlamydia trachomatis in women visiting a community hospital in Japan. Journal of Infection and Chemotherapy. 24(10). 815–821. 2 indexed citations
11.
Maita, Chinatsu, Masahiro Miyoshi, Torahiko Okubo, et al.. (2018). Amoebal endosymbiont Neochlamydia protects host amoebae against Legionella pneumophila infection by preventing Legionella entry. Microbes and Infection. 20(4). 236–244. 23 indexed citations
12.
Matsuo, Junji, Shinji Nakamura, Torahiko Okubo, Manabu Fukui, & Hiroyuki Yamaguchi. (2018). Long-term survival of Naegleria polaris from Antarctica after 10 years of storage at 4 °C. Parasitology Research. 117(3). 937–941. 2 indexed citations
13.
Fukuda, Akira, et al.. (2018). Co-harboring of cephalosporin (bla)/colistin (mcr) resistance genes among Enterobacteriaceae from flies in Thailand. FEMS Microbiology Letters. 365(16). 27 indexed citations
14.
15.
Fukumoto, Tatsuya, Junji Matsuo, Torahiko Okubo, et al.. (2016). Acanthamoeba containing endosymbiotic chlamydia isolated from hospital environments and its potential role in inflammatory exacerbation. BMC Microbiology. 16(1). 292–292. 10 indexed citations
16.
Fukuda, Akira, Masaru Usui, Torahiko Okubo, & Yutaka Tamura. (2015). Horizontal Transfer of Plasmid-Mediated Cephalosporin Resistance Genes in the Intestine of Houseflies ( Musca domestica ). Microbial Drug Resistance. 22(4). 336–341. 32 indexed citations
17.
Okubo, Torahiko, Toyotaka Sato, Masaru Usui, et al.. (2014). Bacterial Diversity in Sea Ice from the Southern Ocean and the Sea of Okhotsk. 2(6). 266–272. 4 indexed citations
18.
19.
Usui, Masaru, et al.. (2013). The Role of Flies in Spreading the Extended-Spectrum β-lactamase Gene from Cattle. Microbial Drug Resistance. 19(5). 415–420. 42 indexed citations
20.
Okubo, Torahiko, et al.. (2013). High Prevalence of Cross-Resistance to Aminoglycosides in Fluoroquinolone-Resistant Escherichia coli Clinical Isolates. Chemotherapy. 59(5). 379–384. 26 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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