Tomohiro Ueno

582 total citations
17 papers, 430 citations indexed

About

Tomohiro Ueno is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health and Genetics. According to data from OpenAlex, Tomohiro Ueno has authored 17 papers receiving a total of 430 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Epidemiology, 5 papers in Public Health, Environmental and Occupational Health and 4 papers in Genetics. Recurrent topics in Tomohiro Ueno's work include Preterm Birth and Chorioamnionitis (4 papers), Neonatal Respiratory Health Research (3 papers) and Bacterial Identification and Susceptibility Testing (3 papers). Tomohiro Ueno is often cited by papers focused on Preterm Birth and Chorioamnionitis (4 papers), Neonatal Respiratory Health Research (3 papers) and Bacterial Identification and Susceptibility Testing (3 papers). Tomohiro Ueno collaborates with scholars based in Japan. Tomohiro Ueno's co-authors include Kaneto Uekama, Yoshinori Uji, Tetsumi Irie, Hiroaki Okabe, Hiroyuki Sugiuchi, Hidenao Fukuyama, Kenta Kishimoto, Keitaro Kato, Masato Kinoshita and Youhei Washio and has published in prestigious journals such as PLoS ONE, Macromolecules and Scientific Reports.

In The Last Decade

Tomohiro Ueno

17 papers receiving 423 citations

Peers

Tomohiro Ueno

SURGE

EPIDE

EDM

GENET

Xiaohang Wang China

Niranjan Rout India

Yosuke Yamamoto Japan

Sanal Madhusudana Girija India

Tobias Weissenbacher Germany

Liming Liu China

Xin Feng China

Kenji Yamamoto Japan

Chengfeng Qiu China

Zhiqin Wong Malaysia

Xiaohang Wang China

Tomohiro Ueno

125 ×1.0

104 ×0.9

SURGE

45 ×0.4

EPIDE

47 ×0.4

EDM

42 ×0.4

GENET

Citations per year, relative to Tomohiro Ueno Tomohiro Ueno (= 1×) peers Xiaohang Wang

Countries citing papers authored by Tomohiro Ueno

Since Specialization

Citations

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

Fields of papers citing papers by Tomohiro Ueno

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomohiro Ueno

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

All Works

Sort: Min cites: Since: Top N: Style:

17 of 17 papers shown

Niimi, Hideki, Tomohiro Ueno, Masahiro Wakasugi, et al.. (2024). Novel rapid method for identifying and quantifying pathogenic bacteria within four hours of blood collection. Scientific Reports. 14(1). 1199–1199. 4 indexed citations

Miyajima, Yuki, Hideki Niimi, Tomohiro Ueno, et al.. (2023). Predictive value of cell population data with Sysmex XN-series hematology analyzer for culture-proven bacteremia. Frontiers in Medicine. 10. 1156889–1156889. 5 indexed citations

Ueno, Tomohiro, et al.. (2020). Influence of the Primary Structure of Syndiotactic Poly(Methyl Methacrylate) on the Inclusion Complex Formation with [60]Fullerene: Robustness of the Helix against Primary Structural Errors. Macromolecules. 53(24). 10823–10829. 6 indexed citations

Ueno, Tomohiro, et al.. (2019). Evaluation of adenovirus amplified detection of immunochromatographic test using tears including conjunctival exudate in patients with adenoviral keratoconjunctivitis. Graefe s Archive for Clinical and Experimental Ophthalmology. 257(4). 815–820. 3 indexed citations

Arita, Kotaro, et al.. (2018). Factor X heterozygous mutation in a patient with potential risk of bleeding. Medicine. 97(23). e10950–e10950. 2 indexed citations

Ueno, Tomohiro, et al.. (2018). Clinical and virological analysis of epidemic keratoconjunctivitis caused by adenovirus type 54 in a regional ophthalmic clinic in Kyushu, Japan. Clinical ophthalmology. Volume 12. 511–517. 17 indexed citations

Yoneda, Satoshi, Noriko Yoneda, Arihiro Shiozaki, et al.. (2018). 17OHP‐C in patients with spontaneous preterm labor and intact membranes: is there an effect according to the presence of intra‐amniotic inflammation?. American Journal of Reproductive Immunology. 80(3). e12867–e12867. 4 indexed citations

Kawaguchi, Yoshiharu, Isao Kitajima, Masato Nakano, et al.. (2018). Increase of the Serum FGF-23 in Ossification of the Posterior Longitudinal Ligament. Global Spine Journal. 9(5). 492–498. 19 indexed citations

Kishimoto, Kenta, Youhei Washio, Yasutoshi Yoshiura, et al.. (2018). Production of a breed of red sea bream Pagrus major with an increase of skeletal muscle mass and reduced body length by genome editing with CRISPR/Cas9. Aquaculture. 495. 415–427. 107 indexed citations

10.

Nakamura, Shigeki, Hideki Niimi, Tomohiro Ueno, et al.. (2017). Spondylodiscitis due to Parvimonas micra diagnosed by the melting temperature mapping method: a case report. BMC Infectious Diseases. 17(1). 584–584. 13 indexed citations

11.

Yoneda, Noriko, Satoshi Yoneda, Hideki Niimi, et al.. (2017). Sludge reflects intra‐amniotic inflammation with or without microorganisms. American Journal of Reproductive Immunology. 79(2). 21 indexed citations

12.

Yoneda, Satoshi, Arihiro Shiozaki, Noriko Yoneda, et al.. (2016). Antibiotic Therapy Increases the Risk of Preterm Birth in Preterm Labor without Intra‐Amniotic Microbes, but may Prolong the Gestation Period in Preterm Labor with Microbes, Evaluated by Rapid and High‐Sensitive PCR System. American Journal of Reproductive Immunology. 75(4). 440–450. 28 indexed citations

13.

Ueno, Tomohiro, Hideki Niimi, Noriko Yoneda, et al.. (2015). Eukaryote-Made Thermostable DNA Polymerase Enables Rapid PCR-Based Detection of Mycoplasma, Ureaplasma and Other Bacteria in the Amniotic Fluid of Preterm Labor Cases. PLoS ONE. 10(6). e0129032–e0129032. 21 indexed citations

14.

Azumi, Kazuhisa, Tomohiro Ueno, & Masahiro Seo. (2004). Cathodic dissolution behavior of an aluminum wire electrode in solutions containing borate and sulfate ions. Journal of Electroanalytical Chemistry. 567(1). 1–7. 7 indexed citations

15.

Ueno, Tomohiro, Kazuhisa Azumi, & Masahiro Seo. (2003). Study of cathodic dissolution of an aluminum wire electrode using ac resistometry. Journal of Electroanalytical Chemistry. 540. 97–104. 7 indexed citations

16.

Sugiuchi, Hiroyuki, Tetsumi Irie, Yoshinori Uji, et al.. (1998). Homogeneous assay for measuring low-density lipoprotein cholesterol in serum with triblock copolymer and α-cyclodextrin sulfate. Clinical Chemistry. 44(3). 522–531. 79 indexed citations

17.

Sugiuchi, Hiroyuki, Tetsumi Irie, Yoshinori Uji, et al.. (1998). Homogeneous assay for measuring low-density lipoprotein cholesterol in serum with triblock copolymer and alpha-cyclodextrin sulfate.. PubMed. 44(3). 522–31. 87 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.

Explore authors with similar magnitude of impact